From 07130b87266c142b81eb1fbf7c71c6db8600a4f6 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Tue, 22 Oct 2024 12:01:26 -0500 Subject: [PATCH 01/51] Get baseline_perplexity_scores from azure sharkpublic blob --- .github/workflows/ci_eval.yaml | 6 -- sharktank/conftest.py | 10 ++-- sharktank/tests/evaluate/perplexity_test.py | 64 +++++++++++++++++---- 3 files changed, 57 insertions(+), 23 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index d3681d95a..be60e8f5e 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -59,9 +59,3 @@ jobs: - name: Run perplexity test run: pytest sharktank/tests/evaluate/perplexity_test.py --longrun - - - name: Update Perplexity baseline numbers - uses: actions/upload-artifact@v4 - with: - name: current_perplexity_scores_json - path: ${{ env.SHARK_PLATFORM_REPO_ROOT }}/sharktank/sharktank/evaluate/ diff --git a/sharktank/conftest.py b/sharktank/conftest.py index 040775409..b57af92a1 100644 --- a/sharktank/conftest.py +++ b/sharktank/conftest.py @@ -121,11 +121,11 @@ def pytest_addoption(parser): ) parser.addoption( - "--baseline-perplexity-score-json", + "--baseline-perplexity-scores", type=Path, action="store", - default="sharktank/tests/evaluate/baseline_perplexity_scores.json", - help="Llama3.1 8B & 405B model baseline perplexity scores json", + default="https://sharkpublic.blob.core.windows.net/sharkpublic/halo-models/evaluation/baseline_perplexity_scores.npy", + help="Llama3.1 8B & 405B model baseline perplexity scores", ) @@ -189,7 +189,7 @@ def get_model_path(request: FixtureRequest): model_path["llama3_405b_fp8_model_path"] = set_fixture_from_cli_option( request, "--llama3-405b-fp8-model-path", "llama3_405b_fp8_model" ) - model_path["baseline_perplexity_score_json"] = set_fixture_from_cli_option( - request, "--baseline-perplexity-score-json", "baseline_perplexity_score_json" + model_path["baseline_perplexity_scores"] = set_fixture_from_cli_option( + request, "--baseline-perplexity-scores", "baseline_perplexity_scores" ) return model_path diff --git a/sharktank/tests/evaluate/perplexity_test.py b/sharktank/tests/evaluate/perplexity_test.py index faf3a263f..23b56efc8 100644 --- a/sharktank/tests/evaluate/perplexity_test.py +++ b/sharktank/tests/evaluate/perplexity_test.py @@ -6,7 +6,7 @@ import unittest import pytest -import json +import numpy as np from sharktank.evaluate import perplexity @@ -19,9 +19,9 @@ def setUp(self): self.current_perplexity_all = {} self.delta = 5e-1 self.tensor_parallelism_size = 8 - - with open(self.baseline_perplexity_score_json, "r") as f: - self.baseline_perplexity = json.load(f) + self.baseline_perplexity = np.load( + self.baseline_perplexity_scores, allow_pickle=True + ).item() @longrun def test_llama3_8B_f16_decomposed(self): @@ -38,11 +38,16 @@ def test_llama3_8B_f16_decomposed(self): ] ) + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + self.assertAlmostEqual( baseline_perplexity["mean_perplexity"], current_perplexity["mean_perplexity"], delta=self.delta, - msg=f"Perplexity is deviating more than {self.delta}", + msg=f"Current perplexity deviates baseline by {perplexity_difference}", ) @pytest.mark.xfail( @@ -64,11 +69,16 @@ def test_llama3_8B_f16_non_decomposed(self): ] ) + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + self.assertAlmostEqual( baseline_perplexity["mean_perplexity"], current_perplexity["mean_perplexity"], delta=self.delta, - msg=f"Perplexity is deviating more than {self.delta}", + msg=f"Current perplexity deviates baseline by {perplexity_difference}", ) @pytest.mark.xfail( @@ -89,11 +99,16 @@ def test_llama3_8B_fp8_decomposed(self): ] ) + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + self.assertAlmostEqual( baseline_perplexity["mean_perplexity"], current_perplexity["mean_perplexity"], delta=self.delta, - msg=f"Perplexity is deviating more than {self.delta}", + msg=f"Current perplexity deviates baseline by {perplexity_difference}", ) @pytest.mark.xfail( @@ -115,11 +130,16 @@ def test_llama3_8B_fp8_non_decomposed(self): ] ) + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + self.assertAlmostEqual( baseline_perplexity["mean_perplexity"], current_perplexity["mean_perplexity"], delta=self.delta, - msg=f"Perplexity is deviating more than {self.delta}", + msg=f"Current perplexity deviates baseline by {perplexity_difference}", ) @longrun @@ -138,11 +158,16 @@ def test_llama3_405B_f16_decomposed(self): ] ) + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + self.assertAlmostEqual( baseline_perplexity["mean_perplexity"], current_perplexity["mean_perplexity"], delta=self.delta, - msg=f"Perplexity is deviating more than {self.delta}", + msg=f"Current perplexity deviates baseline by {perplexity_difference}", ) @pytest.mark.xfail( @@ -165,11 +190,16 @@ def test_llama3_405B_f16_non_decomposed(self): ] ) + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + self.assertAlmostEqual( baseline_perplexity["mean_perplexity"], current_perplexity["mean_perplexity"], delta=self.delta, - msg=f"Perplexity is deviating more than {self.delta}", + msg=f"Current perplexity deviates baseline by {perplexity_difference}", ) @pytest.mark.xfail( @@ -191,11 +221,16 @@ def test_llama3_405B_fp8_decomposed(self): ] ) + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + self.assertAlmostEqual( baseline_perplexity["mean_perplexity"], current_perplexity["mean_perplexity"], delta=self.delta, - msg=f"Perplexity is deviating more than {self.delta}", + msg=f"Current perplexity deviates baseline by {perplexity_difference}", ) @pytest.mark.xfail( @@ -218,11 +253,16 @@ def test_llama3_405B_fp8_non_decomposed(self): ] ) + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + self.assertAlmostEqual( baseline_perplexity["mean_perplexity"], current_perplexity["mean_perplexity"], delta=self.delta, - msg=f"Perplexity is deviating more than {self.delta}", + msg=f"Current perplexity deviates baseline by {perplexity_difference}", ) From ebe1e69d13a931799058686f2d9380da3bd73bda Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Wed, 23 Oct 2024 02:34:14 -0500 Subject: [PATCH 02/51] Add perplexity for vmfb --- .../{perplexity.py => perplexity_torch.py} | 16 +- .../sharktank/evaluate/perplexity_vmfb.py | 329 ++++++++++++++++++ 2 files changed, 336 insertions(+), 9 deletions(-) rename sharktank/sharktank/evaluate/{perplexity.py => perplexity_torch.py} (97%) create mode 100644 sharktank/sharktank/evaluate/perplexity_vmfb.py diff --git a/sharktank/sharktank/evaluate/perplexity.py b/sharktank/sharktank/evaluate/perplexity_torch.py similarity index 97% rename from sharktank/sharktank/evaluate/perplexity.py rename to sharktank/sharktank/evaluate/perplexity_torch.py index 2c76a76ad..41dfaba17 100644 --- a/sharktank/sharktank/evaluate/perplexity.py +++ b/sharktank/sharktank/evaluate/perplexity_torch.py @@ -42,10 +42,10 @@ logging.Formatter(fmt="\n%(levelname)s:%(name)-8s %(message)s") ) -__all__ = ["Perplexity", "run_perplexity"] +__all__ = ["Perplexity_torch", "run_perplexity_torch"] -class Perplexity: +class Perplexity_torch: """ Perplexity (PPL) is one of the most common metrics for evaluating language models. It is defined as the exponentiated average negative log-likelihood of a sequence, @@ -59,8 +59,6 @@ def __init__( device, kv_cache_type, ): - self.batch_size = 16 - self.device = device self.kv_cache_type = kv_cache_type self.activation_dtype = torch.float32 @@ -173,6 +171,8 @@ def get_logits(self): (self.token_ids != 0).int().detach().clone().to(self.device) ) + self.bs = len(self.test_prompts) + is_first_token = True start = 0 for i in tqdm( @@ -262,8 +262,6 @@ def compute_perplexity(self): def get_perplexity(self, test_prompts): self.test_prompts = test_prompts - self.bs = len(self.test_prompts) - self.get_logits() self.out_logits = self.out_logits[..., :-1, :].contiguous() @@ -281,7 +279,7 @@ def get_perplexity(self, test_prompts): return self.compute_perplexity() -def run_perplexity( +def run_perplexity_torch( dataset, tokenizer, device, @@ -289,7 +287,7 @@ def run_perplexity( tensor_parallelism_size, attention_kernel, ): - perplexity = Perplexity(device=device, kv_cache_type=kv_cache_type) + perplexity = Perplexity_torch(device=device, kv_cache_type=kv_cache_type) perplexity.load_model(dataset, tokenizer, tensor_parallelism_size, attention_kernel) test_prompts = perplexity.get_prompts() @@ -325,7 +323,7 @@ def main(argv): dataset = cli.get_input_dataset(args) tokenizer = cli.get_tokenizer(args) - ppl = run_perplexity( + ppl = run_perplexity_torch( dataset=dataset, tokenizer=tokenizer, device=device, diff --git a/sharktank/sharktank/evaluate/perplexity_vmfb.py b/sharktank/sharktank/evaluate/perplexity_vmfb.py new file mode 100644 index 000000000..d42f77ebd --- /dev/null +++ b/sharktank/sharktank/evaluate/perplexity_vmfb.py @@ -0,0 +1,329 @@ +# Copyright 2024 Advanced Micro Devices, Inc. +# +# Licensed under the Apache License v2.0 with LLVM Exceptions. +# See https://llvm.org/LICENSE.txt for license information. +# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception + +import sys +import logging +import json +import time +import random +from datetime import timedelta +from tqdm import tqdm + +import numpy as np + +from datasets import load_dataset + +import torch +from torch.nn import CrossEntropyLoss + +from sharktank.layers import * +from sharktank.types import * + +from sharktank.utils.vmfb_runner import * +from sharktank.utils import cli +from sharktank.utils.load_llm import * + +import iree.runtime as ireert + +log_levels = { + "info": logging.INFO, + "debug": logging.DEBUG, +} +logger = logging.getLogger("eval") + +logger.setLevel(log_levels["info"]) + +logger.root.handlers[0].setFormatter( + logging.Formatter(fmt="\n%(levelname)s:%(name)-8s %(message)s") +) + +__all__ = ["Perplexity", "run_perplexity"] + + +class Perplexity: + """ + Perplexity (PPL) is one of the most common metrics for evaluating language models. + It is defined as the exponentiated average negative log-likelihood of a sequence, + calculated with exponent base `e`. + + For more information, see https://huggingface.co/docs/transformers/perplexity + """ + + def __init__( + self, + device, + tokenizer, + ): + self.device = device + self.tokenizer = tokenizer + self.pad_sequence_stride = 16 + self.block_seq_stride = 16 + self.free_pages = list(range(1, 8192)) + # TODO: investigate cache + self.cache_state = model.cache.paged.allocate(page_cache_size) + + def timeit(func): + def wrapper(*args, **kwargs): + start = time.time() + result = func(*args, **kwargs) + end = time.time() + seconds = end - start + time_taken = abs(timedelta(seconds=round(seconds))) + + if seconds < 1: + time_taken = f" {seconds * 1000} ms" + + func_name = func.__name__ + if func_name == "get_perplexity": + func_name = "Total time" + logger.info(f" {func_name}: {time_taken}") + return result + + return wrapper + + def print_token_comparison(self, i): + if i <= self.max_prompt_length: + batch_predicted_token_id = [[i[-1]] for i in self.batch.results] + batch_predicted_token = self.tokenizer.decode(batch_predicted_token_id) + logger.debug(f"Predicted:") + logger.debug(f"{batch_predicted_token}") + logger.debug(f"{batch_predicted_token_id}") + + expected_token_id = self.token_ids[:, i + 1 : i + 2].tolist() + expected_token = self.tokenizer.decode(expected_token_id) + logger.debug(f"Expected:") + logger.debug(f"{expected_token}") + logger.debug(f"{expected_token_id}") + + def alloc_page(self) -> int: + # Only applies for paged attention + return self.free_pages.pop() + + def pad_block_ids(self, seq_block_ids) -> torch.Tensor: + max_length = max(len(r) for r in seq_block_ids) + rows = [r + (max_length - len(r)) * [0] for r in seq_block_ids] + return torch.tensor(rows) + + @timeit + def load_model(self, vmfb_path, gguf_weight_path): + return vmfbRunner( + device=self.device, + vmfb_path=vmfb_path, + external_weight_path=gguf_weight_path, + ) + + def get_args(self, seq_lens_batch): + # Assemble the batch. + seq_stride = self.block_seq_stride + seq_block_ids: list[list[int]] = [] + for seq_len in seq_lens_batch: + blocks_needed = ( + int(math.ceil(seq_len / seq_stride)) if seq_stride > 0 else 0 + ) + row = [] + for _ in range(blocks_needed): + row.append(self.alloc_page()) + seq_block_ids.append(row) + + return seq_block_ids + + @timeit + def get_prompts(self): + test_prompts = load_dataset("wikitext", "wikitext-2-raw-v1", split="test")[ + "text" + ] + + num_test_prompts = 219 + + random.seed(0) + test_prompts = random.sample(test_prompts, num_test_prompts) + + # Ignore prompts that are: empty, less than 20 tokens or a title. + test_prompts = [ + s.replace("\n", "").rstrip() + for s in test_prompts + if s != "" and len(s.split()) >= 20 and s.count("=") < 2 + ] + + logger.info(f" num_test_prompts: {len(test_prompts)}") + + return test_prompts + + @timeit + def get_logits( + self, + ): + + token_ids, seq_lens = self.tokenizer.encode( + self.test_prompts, + pad_to_multiple_of=self.pad_sequence_stride, + ) + + logger.info(f" Prompts for Evaluation:") + for idx, prompt in enumerate(self.test_prompts): + logger.info( + f" Prompt {idx}: \nTokens: {prompt.encode()}\nToken ids: {token_ids[idx]}\n" + ) + + self.max_prompt_length = max(seq_lens) + self.token_ids = torch.tensor(token_ids) + self.attention_mask = (self.token_ids != 0).int().detach().clone() + + self.bs = len(self.test_prompts) + + is_first_token = True + start = 0 + for i in tqdm( + range(start, self.max_prompt_length - 1), + desc="eval: Calculating logits", + ): + logger.debug(f"Iteration: {i}") + + if is_first_token: + + token_batch = self.token_ids[:, : i + 1] + logger.debug(f"Prefill:") + + logger.debug("Input:") + logger.debug(f"{self.tokenizer.decode(token_batch)}") + + token_batch, seq_lens_batch = self.tokenizer.pad_tokens( + token_ids=token_batch.tolist(), + pad_to_multiple_of=self.pad_sequence_stride, + ) + + logger.debug(f"{token_batch}") + + token_batch = torch.tensor(token_batch, device=self.device) + seq_lens_batch = torch.tensor(seq_lens_batch, device=self.device) + + seq_block_ids = self.get_args(seq_lens_batch) + seq_block_ids = self.pad_block_ids(seq_block_ids) + prefill_logits = self.runner.ctx.modules.module.prefill_bs4( + token_batch, seq_lens_batch, seq_block_ids, self.cache_state + ) + + self.out_logits = prefill_logits[:, -1, :] + is_first_token = False + + self.print_token_comparison(i) + + else: + token_batch = self.token_ids[:, i : i + 1] + + logger.debug("Decode:") + + logger.debug("Input:") + logger.debug(f"{self.tokenizer.decode(token_batch)}") + logger.debug(f"{token_batch.tolist()}") + + start_positions = seq_lens_batch.clone() + seq_lens_batch.add_(1) + + seq_block_ids = self.get_args(seq_lens_batch) + seq_block_ids = self.pad_block_ids(seq_block_ids) + decode_logits = self.runner.ctx.modules.module.decode_bs4( + token_batch, start_positions, seq_block_ids, self.cache_state + ) + + self.out_logits = torch.cat((self.out_logits, decode_logits), 1) + + self.print_token_comparison(i) + + pad_logits_shape = self.token_ids.shape[1] - self.out_logits.shape[1] + + self.pad_logits = torch.zeros( + self.out_logits.shape[0], pad_logits_shape, self.out_logits.shape[2] + ) + + self.out_logits = torch.cat((self.out_logits, self.pad_logits), 1).to( + self.device + ) + + @timeit + def compute_perplexity(self): + loss_fct = CrossEntropyLoss(reduction="none") + + ## perplexity = e ^ (sum(losses) / num_tokenized_tokens) + crossentropy_loss = ( + loss_fct(self.out_logits.transpose(1, 2), self.token_ids) + * self.attention_mask + ).sum(1) + crossentropy_loss = torch.tensor(crossentropy_loss.tolist()) + perplexity_batch = torch.exp( + crossentropy_loss / self.attention_mask.sum(1) + ).tolist() + + perplexity_batch = [round(ppl, 6) for ppl in perplexity_batch] + + return { + "perplexities": perplexity_batch, + "mean_perplexity": round(np.mean(perplexity_batch), 6), + } + + @timeit + def get_perplexity(self, test_prompts): + + self.test_prompts = test_prompts + self.get_logits() + + self.out_logits = self.out_logits[..., :-1, :].contiguous() + self.token_ids = self.token_ids[..., 1:].contiguous() + self.attention_mask = self.attention_mask[..., 1:].contiguous() + + logger.debug(f"Final Logits shape: {self.out_logits.shape}") + logger.debug(f"Token ids: {self.token_ids}, \n{self.token_ids.shape}") + logger.debug( + f"Mask shape: {self.attention_mask}, \n{self.attention_mask.shape}" + ) + + assert self.token_ids.shape == self.out_logits.shape[0:2] + + return self.compute_perplexity() + + +def run_perplexity( + vmfb_path, + gguf_weight_path, + tokenizer, + device, +): + perplexity = Perplexity(device=device, tokenizer=tokenizer) + perplexity.load_model(tokenizer, vmfb_path, gguf_weight_path) + test_prompts = perplexity.get_prompts() + ppl = perplexity.get_perplexity(test_prompts=test_prompts) + + return ppl + + +def main(argv): + parser = cli.create_parser() + parser.add_argument("--device", help="Torch device (or default)") + + cli.add_tokenizer_options(parser) + args = cli.parse(parser, args=argv) + + device = torch.device(args.device) if args.device else None + tokenizer = cli.get_tokenizer(args) + + # device could be local-sync:// local-task:// + device = "hip://GPU-34346462-3466-6333-3231-353561336563" + vmfb_path = "/home/aramalin/SHARK-Platform/artifacts/llama70b_q4_1.vmfb" + gguf_weight_path = "/data/extra/models/llama70b_q4_1.gguf" + + ppl = run_perplexity( + vmfb_path=vmfb_path, + gguf_weight_path=gguf_weight_path, + tokenizer=tokenizer, + device=device, + ) + + logger.info(f"\n{json.dumps(ppl, indent=2)}") + return ppl + + +if __name__ == "__main__": + main(sys.argv[1:]) From aa47d6797d24c3e48c215824bd95f13e32d2268b Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Wed, 23 Oct 2024 02:39:24 -0500 Subject: [PATCH 03/51] Add vmfb runner script --- sharktank/sharktank/utils/vmfb_runner.py | 82 ++++++++++++++++++++++++ 1 file changed, 82 insertions(+) create mode 100644 sharktank/sharktank/utils/vmfb_runner.py diff --git a/sharktank/sharktank/utils/vmfb_runner.py b/sharktank/sharktank/utils/vmfb_runner.py new file mode 100644 index 000000000..cdbf96c9d --- /dev/null +++ b/sharktank/sharktank/utils/vmfb_runner.py @@ -0,0 +1,82 @@ +from iree import runtime as ireert +from iree.runtime._binding import create_hal_driver + + +class vmfbRunner: + def __init__(self, device, vmfb_path, external_weight_path=None, extra_plugin=None): + + # If an extra plugin is requested, add a global flag to load the plugin + # and create the driver using the non-caching creation function, as + # the caching creation function may ignore the flag. + if extra_plugin: + ireert.flags.parse_flags(f"--executable_plugin={extra_plugin}") + haldriver = create_hal_driver(device) + + # No plugin requested: create the driver with the caching create + # function. + else: + haldriver = ireert.get_driver(device) + if "://" in device: + try: + device_idx = int(device.split("://")[-1]) + device_uri = None + except: + device_idx = None + device_uri = device.split("://")[-1] + else: + device_idx = 0 + device_uri = None + if device_uri: + if not any(x in device for x in ["cpu", "task"]): + allocators = ["caching"] + haldevice = haldriver.create_device_by_uri( + device_uri, allocators=allocators + ) + else: + haldevice = haldriver.create_device_by_uri(device_uri) + else: + hal_device_id = haldriver.query_available_devices()[device_idx]["device_id"] + if not any(x in device for x in ["cpu", "task"]): + allocators = ["caching"] + haldevice = haldriver.create_device( + hal_device_id, allocators=allocators + ) + else: + haldevice = haldriver.create_device(hal_device_id) + + self.config = ireert.Config(device=haldevice) + mods = [] + if not isinstance(vmfb_path, list): + vmfb_path = [vmfb_path] + for path in vmfb_path: + mods.append(ireert.VmModule.mmap(self.config.vm_instance, path)) + vm_modules = [ + *mods, + ireert.create_hal_module(self.config.vm_instance, self.config.device), + ] + + # TODO: Enable multiple weight files + if external_weight_path: + index = ireert.ParameterIndex() + if not isinstance(external_weight_path, list): + external_weight_path = [external_weight_path] + for i, path in enumerate(external_weight_path): + if path in ["", None]: + continue + index.load(path) + # TODO: extend scope + param_module = ireert.create_io_parameters_module( + self.config.vm_instance, index.create_provider(scope="model") + ) + vm_modules.insert(i, param_module) + del param_module + del index + + self.ctx = ireert.SystemContext( + vm_modules=vm_modules, + config=self.config, + ) + + def unload(self): + self.ctx = None + self.config = None From 1a7933a6494dcff09c25645844394c12297c7d52 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Wed, 23 Oct 2024 02:48:44 -0500 Subject: [PATCH 04/51] Update test --- sharktank/tests/evaluate/perplexity_test.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/sharktank/tests/evaluate/perplexity_test.py b/sharktank/tests/evaluate/perplexity_test.py index 23b56efc8..bf5ede529 100644 --- a/sharktank/tests/evaluate/perplexity_test.py +++ b/sharktank/tests/evaluate/perplexity_test.py @@ -8,7 +8,7 @@ import pytest import numpy as np -from sharktank.evaluate import perplexity +from sharktank.evaluate import perplexity_torch longrun = pytest.mark.skipif("not config.getoption('longrun')") @@ -31,7 +31,7 @@ def test_llama3_8B_f16_decomposed(self): model_name = "llama3_8B_f16_decomposed" baseline_perplexity = self.baseline_perplexity[model_name] - current_perplexity = perplexity.main( + current_perplexity = perplexity_torch.main( [ f"--gguf-file={self.llama3_8b_f16_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", @@ -61,7 +61,7 @@ def test_llama3_8B_f16_non_decomposed(self): model_name = "llama3_8B_f16_non_decomposed" baseline_perplexity = self.baseline_perplexity[model_name] - current_perplexity = perplexity.main( + current_perplexity = perplexity_torch.main( [ f"--gguf-file={self.llama3_8b_f16_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", @@ -92,7 +92,7 @@ def test_llama3_8B_fp8_decomposed(self): model_name = "llama3_8B_fp8_decomposed" baseline_perplexity = self.baseline_perplexity[model_name] - current_perplexity = perplexity.main( + current_perplexity = perplexity_torch.main( [ f"--gguf-file={self.llama3_8b_fp8_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", @@ -122,7 +122,7 @@ def test_llama3_8B_fp8_non_decomposed(self): model_name = "llama3_8B_fp8_non_decomposed" baseline_perplexity = self.baseline_perplexity[model_name] - current_perplexity = perplexity.main( + current_perplexity = perplexity_torch.main( [ f"--gguf-file={self.llama3_8b_fp8_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", @@ -150,7 +150,7 @@ def test_llama3_405B_f16_decomposed(self): model_name = "llama3_405B_f16_decomposed" baseline_perplexity = self.baseline_perplexity[model_name] - current_perplexity = perplexity.main( + current_perplexity = perplexity_torch.main( [ f"--gguf-file={self.llama3_405b_f16_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", @@ -181,7 +181,7 @@ def test_llama3_405B_f16_non_decomposed(self): model_name = "llama3_405B_f16_non_decomposed" baseline_perplexity = self.baseline_perplexity[model_name] - current_perplexity = perplexity.main( + current_perplexity = perplexity_torch.main( [ f"--gguf-file={self.llama3_405b_f16_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", @@ -213,7 +213,7 @@ def test_llama3_405B_fp8_decomposed(self): model_name = "llama3_405B_fp8_decomposed" baseline_perplexity = self.baseline_perplexity[model_name] - current_perplexity = perplexity.main( + current_perplexity = perplexity_torch.main( [ f"--gguf-file={self.llama3_405b_fp8_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", @@ -244,7 +244,7 @@ def test_llama3_405B_fp8_non_decomposed(self): model_name = "llama3_405B_fp8_non_decomposed" baseline_perplexity = self.baseline_perplexity[model_name] - current_perplexity = perplexity.main( + current_perplexity = perplexity_torch.main( [ f"--gguf-file={self.llama3_405b_fp8_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", From 026318ad7a6db34b396aadb829cc3657bde2b6de Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Wed, 23 Oct 2024 03:02:22 -0500 Subject: [PATCH 05/51] Rename perplexity torch test --- .github/workflows/ci_eval.yaml | 2 +- .../evaluate/{perplexity_test.py => perplexity_torch_test.py} | 0 2 files changed, 1 insertion(+), 1 deletion(-) rename sharktank/tests/evaluate/{perplexity_test.py => perplexity_torch_test.py} (100%) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 9181d5b72..66d264758 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -59,4 +59,4 @@ jobs: pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - name: Run perplexity test - run: pytest sharktank/tests/evaluate/perplexity_test.py --longrun + run: pytest sharktank/tests/evaluate/perplexity_torch_test.py --longrun diff --git a/sharktank/tests/evaluate/perplexity_test.py b/sharktank/tests/evaluate/perplexity_torch_test.py similarity index 100% rename from sharktank/tests/evaluate/perplexity_test.py rename to sharktank/tests/evaluate/perplexity_torch_test.py From 089f590cea2d3cb3547f23195f5ef12762a49e88 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 02:54:30 -0500 Subject: [PATCH 06/51] Revert npy to json --- sharktank/tests/evaluate/perplexity_torch_test.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/sharktank/tests/evaluate/perplexity_torch_test.py b/sharktank/tests/evaluate/perplexity_torch_test.py index bf5ede529..61e5f8f32 100644 --- a/sharktank/tests/evaluate/perplexity_torch_test.py +++ b/sharktank/tests/evaluate/perplexity_torch_test.py @@ -6,7 +6,7 @@ import unittest import pytest -import numpy as np +import json from sharktank.evaluate import perplexity_torch @@ -19,9 +19,8 @@ def setUp(self): self.current_perplexity_all = {} self.delta = 5e-1 self.tensor_parallelism_size = 8 - self.baseline_perplexity = np.load( - self.baseline_perplexity_scores, allow_pickle=True - ).item() + with open(self.baseline_perplexity_scores, "r") as f: + self.baseline_perplexity = json.load(f) @longrun def test_llama3_8B_f16_decomposed(self): From 1711f85683cb495f757867de3349db8763b6090a Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 04:03:52 -0500 Subject: [PATCH 07/51] Update gguf to irpa --- .../tests/evaluate/perplexity_torch_test.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/sharktank/tests/evaluate/perplexity_torch_test.py b/sharktank/tests/evaluate/perplexity_torch_test.py index 61e5f8f32..3c5ff0cda 100644 --- a/sharktank/tests/evaluate/perplexity_torch_test.py +++ b/sharktank/tests/evaluate/perplexity_torch_test.py @@ -32,7 +32,7 @@ def test_llama3_8B_f16_decomposed(self): current_perplexity = perplexity_torch.main( [ - f"--gguf-file={self.llama3_8b_f16_model}", + f"--irpa-file={self.llama3_8b_f16_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", ] ) @@ -62,7 +62,7 @@ def test_llama3_8B_f16_non_decomposed(self): current_perplexity = perplexity_torch.main( [ - f"--gguf-file={self.llama3_8b_f16_model}", + f"--irpa-file={self.llama3_8b_f16_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", f"--attention-kernel=torch_sdpa", ] @@ -93,7 +93,7 @@ def test_llama3_8B_fp8_decomposed(self): current_perplexity = perplexity_torch.main( [ - f"--gguf-file={self.llama3_8b_fp8_model}", + f"--irpa-file={self.llama3_8b_fp8_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", ] ) @@ -123,7 +123,7 @@ def test_llama3_8B_fp8_non_decomposed(self): current_perplexity = perplexity_torch.main( [ - f"--gguf-file={self.llama3_8b_fp8_model}", + f"--irpa-file={self.llama3_8b_fp8_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", f"--attention-kernel=torch_sdpa", ] @@ -151,7 +151,7 @@ def test_llama3_405B_f16_decomposed(self): current_perplexity = perplexity_torch.main( [ - f"--gguf-file={self.llama3_405b_f16_model}", + f"--irpa-file={self.llama3_405b_f16_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", f"--tensor-parallelism-size={self.tensor_parallelism_size}", ] @@ -182,7 +182,7 @@ def test_llama3_405B_f16_non_decomposed(self): current_perplexity = perplexity_torch.main( [ - f"--gguf-file={self.llama3_405b_f16_model}", + f"--irpa-file={self.llama3_405b_f16_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", f"--tensor-parallelism-size={self.tensor_parallelism_size}", f"--attention-kernel=torch_sdpa", @@ -214,7 +214,7 @@ def test_llama3_405B_fp8_decomposed(self): current_perplexity = perplexity_torch.main( [ - f"--gguf-file={self.llama3_405b_fp8_model}", + f"--irpa-file={self.llama3_405b_fp8_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", f"--tensor-parallelism-size={self.tensor_parallelism_size}", ] @@ -245,7 +245,7 @@ def test_llama3_405B_fp8_non_decomposed(self): current_perplexity = perplexity_torch.main( [ - f"--gguf-file={self.llama3_405b_fp8_model}", + f"--irpa-file={self.llama3_405b_fp8_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", f"--tensor-parallelism-size={self.tensor_parallelism_size}", f"--attention-kernel=torch_sdpa", From 74b376fc457bf1c7bac57dbdfdb7e4620e27679e Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 04:09:01 -0500 Subject: [PATCH 08/51] Add vmfb test --- .github/workflows/ci_eval.yaml | 6 +- sharktank/conftest.py | 54 +++- .../tests/evaluate/perplexity_vmfb_test.py | 281 ++++++++++++++++++ 3 files changed, 328 insertions(+), 13 deletions(-) create mode 100644 sharktank/tests/evaluate/perplexity_vmfb_test.py diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 66d264758..597fd0b99 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -58,5 +58,7 @@ jobs: -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - - name: Run perplexity test - run: pytest sharktank/tests/evaluate/perplexity_torch_test.py --longrun + - name: Run perplexity test in eager mode + run: pytest -n 4 -v sharktank/tests/evaluate/perplexity_torch_test.py --longrun + - name: Run perplexity test with vmfb + run: pytest -n 4 -v sharktank/tests/evaluate/perplexity_vmfb_test.py --longrun diff --git a/sharktank/conftest.py b/sharktank/conftest.py index b57af92a1..842d97e73 100644 --- a/sharktank/conftest.py +++ b/sharktank/conftest.py @@ -81,11 +81,11 @@ def pytest_addoption(parser): ) parser.addoption( - "--llama3-8b-f16-gguf-path", + "--llama3-8b-f16-model-path", type=Path, action="store", - default="/data/extra/models/llama3.1_8B/llama8b_f16.gguf", - help="Llama3.1 8b gguf model path, defaults to 30F CI system path", + default="/data/extra/models/llama3.1_8B/llama8b_f16.irpa", + help="Llama3.1 8b model path, defaults to 30F CI system path", ) parser.addoption( @@ -105,11 +105,11 @@ def pytest_addoption(parser): ) parser.addoption( - "--llama3-405b-f16-gguf-path", + "--llama3-405b-f16-model-path", type=Path, action="store", - default="/data/extra/models/llama3.1_405B/llama405b_fp16.gguf", - help="Llama3.1 405b gguf model path, defaults to 30F CI system path", + default="/data/extra/models/llama3.1_405B/llama405b_fp16.irpa", + help="Llama3.1 405b model path, defaults to 30F CI system path", ) parser.addoption( @@ -124,10 +124,33 @@ def pytest_addoption(parser): "--baseline-perplexity-scores", type=Path, action="store", - default="https://sharkpublic.blob.core.windows.net/sharkpublic/halo-models/evaluation/baseline_perplexity_scores.npy", + default="/home/aramalin/SHARK-Platform/sharktank/tests/evaluate/baseline_perplexity_scores.json", help="Llama3.1 8B & 405B model baseline perplexity scores", ) + parser.addoption( + "--llama3-8b-f16-vmfb-path", + type=Path, + action="store", + default="/data/extra/models/llama3.1_8B/llama8b_f16.vmfb", + help="Llama3.1 8b fp16 vmfb path, defaults to 30F CI system path", + ) + + parser.addoption( + "--llama3-405b-f16-vmfb-path", + type=Path, + action="store", + default="/data/extra/models/llama3.1_405B/llama405b_fp16.vmfb", + help="Llama3.1 405b fp16 vmfb path, defaults to 30F CI system path", + ) + + parser.addoption( + "--iree-device", + type=str, + action="store", + help="List an IREE device from iree-run-module --list_devices", + ) + def set_fixture_from_cli_option( request: FixtureRequest, @@ -174,8 +197,8 @@ def get_model_path(request: FixtureRequest): model_path["llama3_8b_tokenizer_path"] = set_fixture_from_cli_option( request, "--llama3-8b-tokenizer-path", "llama3_8b_tokenizer" ) - model_path["llama3_8b_f16_gguf_path"] = set_fixture_from_cli_option( - request, "--llama3-8b-f16-gguf-path", "llama3_8b_f16_model" + model_path["llama3_8b_f16_model_path"] = set_fixture_from_cli_option( + request, "--llama3-8b-f16-model-path", "llama3_8b_f16_model" ) model_path["llama3_8b_fp8_model_path"] = set_fixture_from_cli_option( request, "--llama3-8b-fp8-model-path", "llama3_8b_fp8_model" @@ -183,8 +206,8 @@ def get_model_path(request: FixtureRequest): model_path["llama3_405b_tokenizer_path"] = set_fixture_from_cli_option( request, "--llama3-405b-tokenizer-path", "llama3_405b_tokenizer" ) - model_path["llama3_405b_f16_gguf_path"] = set_fixture_from_cli_option( - request, "--llama3-405b-f16-gguf-path", "llama3_405b_f16_model" + model_path["llama3_405b_f16_model_path"] = set_fixture_from_cli_option( + request, "--llama3-405b-f16-model-path", "llama3_405b_f16_model" ) model_path["llama3_405b_fp8_model_path"] = set_fixture_from_cli_option( request, "--llama3-405b-fp8-model-path", "llama3_405b_fp8_model" @@ -192,4 +215,13 @@ def get_model_path(request: FixtureRequest): model_path["baseline_perplexity_scores"] = set_fixture_from_cli_option( request, "--baseline-perplexity-scores", "baseline_perplexity_scores" ) + model_path["llama3_8b_f16_vmfb"] = set_fixture_from_cli_option( + request, "--llama3-8b-f16-vmfb-path", "llama3_8b_f16_vmfb" + ) + model_path["llama3_405b_f16_vmfb"] = set_fixture_from_cli_option( + request, "--llama3-405b-f16-vmfb-path", "llama3_405b_f16_vmfb" + ) + model_path["iree_device"] = set_fixture_from_cli_option( + request, "--iree-device", "iree_device" + ) return model_path diff --git a/sharktank/tests/evaluate/perplexity_vmfb_test.py b/sharktank/tests/evaluate/perplexity_vmfb_test.py new file mode 100644 index 000000000..a52c9d63e --- /dev/null +++ b/sharktank/tests/evaluate/perplexity_vmfb_test.py @@ -0,0 +1,281 @@ +# Copyright 2024 Advanced Micro Devices, Inc +# +# Licensed under the Apache License v2.0 with LLVM Exceptions. +# See https://llvm.org/LICENSE.txt for license information. +# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception + +import unittest +import pytest +import json + +from sharktank.evaluate import perplexity_vmfb + +longrun = pytest.mark.skipif("not config.getoption('longrun')") + + +@pytest.mark.usefixtures("get_model_path") +class PerplexityTest(unittest.TestCase): + def setUp(self): + self.current_perplexity_all = {} + self.delta = 5e-1 + self.tensor_parallelism_size = 8 + with open(self.baseline_perplexity_scores, "r") as f: + self.baseline_perplexity = json.load(f) + + @longrun + def test_llama3_8B_f16_decomposed(self): + + # Llama 3.1 8B decomposed + + model_name = "llama3_8B_f16_decomposed_vmfb" + baseline_perplexity = self.baseline_perplexity[model_name] + + current_perplexity = perplexity_vmfb.main( + [ + f"--vmfb-path={self.llama3_8b_f16_vmfb}", + f"--irpa-file={self.llama3_8b_f16_model}", + f"--tokenizer-config-json={self.llama3_8b_tokenizer}", + f"--iree-device={self.iree_device}", + ] + ) + + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + + self.assertAlmostEqual( + baseline_perplexity["mean_perplexity"], + current_perplexity["mean_perplexity"], + delta=self.delta, + msg=f"Current perplexity deviates baseline by {perplexity_difference}", + ) + + @pytest.mark.xfail( + reason="Non-decomposed attention is not supported yet", + ) + @longrun + def test_llama3_8B_f16_non_decomposed(self): + + # Llama 3.1 8B non-decomposed + + model_name = "llama3_8B_f16_non_decomposed_vmfb" + baseline_perplexity = self.baseline_perplexity[model_name] + + current_perplexity = perplexity_vmfb.main( + [ + f"--vmfb-path={self.llama3_8b_f16_vmfb}", + f"--irpa-file={self.llama3_8b_f16_model}", + f"--tokenizer-config-json={self.llama3_8b_tokenizer}", + f"--iree-device={self.iree_device}", + ] + ) + + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + + self.assertAlmostEqual( + baseline_perplexity["mean_perplexity"], + current_perplexity["mean_perplexity"], + delta=self.delta, + msg=f"Current perplexity deviates baseline by {perplexity_difference}", + ) + + @pytest.mark.xfail( + reason="FP8 model is unsupported", + ) + @longrun + def test_llama3_8B_fp8_decomposed(self): + + # Llama 3.1 8B decomposed + + model_name = "llama3_8B_fp8_decomposed_vmfb" + baseline_perplexity = self.baseline_perplexity[model_name] + + current_perplexity = perplexity_vmfb.main( + [ + f"--vmfb-path={self.llama3_8b_fp8_vmfb}", + f"--irpa-file={self.llama3_8b_fp8_model}", + f"--tokenizer-config-json={self.llama3_8b_tokenizer}", + f"--iree-device={self.iree_device}", + ] + ) + + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + + self.assertAlmostEqual( + baseline_perplexity["mean_perplexity"], + current_perplexity["mean_perplexity"], + delta=self.delta, + msg=f"Current perplexity deviates baseline by {perplexity_difference}", + ) + + @pytest.mark.xfail( + reason="Non-decomposed attention is not supported yet", + ) + @longrun + def test_llama3_8B_fp8_non_decomposed(self): + + # Llama 3.1 8B non-decomposed + + model_name = "llama3_8B_fp8_non_decomposed_vmfb" + baseline_perplexity = self.baseline_perplexity[model_name] + + current_perplexity = perplexity_vmfb.main( + [ + f"--vmfb-path={self.llama3_8b_fp8_vmfb}", + f"--irpa-file={self.llama3_8b_fp8_model}", + f"--tokenizer-config-json={self.llama3_8b_tokenizer}", + f"--iree-device={self.iree_device}", + ] + ) + + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + + self.assertAlmostEqual( + baseline_perplexity["mean_perplexity"], + current_perplexity["mean_perplexity"], + delta=self.delta, + msg=f"Current perplexity deviates baseline by {perplexity_difference}", + ) + + @longrun + def test_llama3_405B_f16_decomposed(self): + + # Llama 3.1 405B decomposed + + model_name = "llama3_405B_f16_decomposed_vmfb" + baseline_perplexity = self.baseline_perplexity[model_name] + + current_perplexity = perplexity_vmfb.main( + [ + f"--vmfb-path={self.llama3_405b_f16_vmfb}", + f"--irpa-file={self.llama3_405b_f16_model}", + f"--tokenizer-config-json={self.llama3_405b_tokenizer}", + f"--iree-device={self.iree_device}", + f"--tensor-parallelism-size={self.tensor_parallelism_size}", + ] + ) + + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + + self.assertAlmostEqual( + baseline_perplexity["mean_perplexity"], + current_perplexity["mean_perplexity"], + delta=self.delta, + msg=f"Current perplexity deviates baseline by {perplexity_difference}", + ) + + @pytest.mark.xfail( + reason="Non-decomposed attention is not supported yet", + ) + @longrun + def test_llama3_405B_f16_non_decomposed(self): + + # Llama 3.1 405B non-decomposed + + model_name = "llama3_405B_f16_non_decomposed_vmfb" + baseline_perplexity = self.baseline_perplexity[model_name] + + current_perplexity = perplexity_vmfb.main( + [ + f"--vmfb-path={self.llama3_405b_f16_vmfb}", + f"--irpa-file={self.llama3_405b_f16_model}", + f"--tokenizer-config-json={self.llama3_405b_tokenizer}", + f"--iree-device={self.iree_device}", + f"--tensor-parallelism-size={self.tensor_parallelism_size}", + ] + ) + + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + + self.assertAlmostEqual( + baseline_perplexity["mean_perplexity"], + current_perplexity["mean_perplexity"], + delta=self.delta, + msg=f"Current perplexity deviates baseline by {perplexity_difference}", + ) + + @pytest.mark.xfail( + reason="FP8 model is unsupported", + ) + @longrun + def test_llama3_405B_fp8_decomposed(self): + + # Llama 3.1 405B decomposed + + model_name = "llama3_405B_fp8_decomposed_vmfb" + baseline_perplexity = self.baseline_perplexity[model_name] + + current_perplexity = perplexity_vmfb.main( + [ + f"--vmfb-path={self.llama3_405b_fp8_vmfb}", + f"--irpa-file={self.llama3_405b_fp8_model}", + f"--tokenizer-config-json={self.llama3_405b_tokenizer}", + f"--iree-device={self.iree_device}", + f"--tensor-parallelism-size={self.tensor_parallelism_size}", + ] + ) + + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + + self.assertAlmostEqual( + baseline_perplexity["mean_perplexity"], + current_perplexity["mean_perplexity"], + delta=self.delta, + msg=f"Current perplexity deviates baseline by {perplexity_difference}", + ) + + @pytest.mark.xfail( + reason="Non-decomposed attention is not supported yet", + ) + @longrun + def test_llama3_405B_fp8_non_decomposed(self): + + # Llama 3.1 405B non-decomposed + + model_name = "llama3_405B_fp8_non_decomposed_vmfb" + baseline_perplexity = self.baseline_perplexity[model_name] + + current_perplexity = perplexity_vmfb.main( + [ + f"--vmfb-path={self.llama3_405b_fp8_vmfb}", + f"--irpa-file={self.llama3_405b_fp8_model}", + f"--tokenizer-config-json={self.llama3_405b_tokenizer}", + f"--iree-device={self.iree_device}", + "--tensor-parallelism-size={self.tensor_parallelism_size}", + ] + ) + + perplexity_difference = ( + current_perplexity["mean_perplexity"] + - baseline_perplexity["mean_perplexity"] + ) + + self.assertAlmostEqual( + baseline_perplexity["mean_perplexity"], + current_perplexity["mean_perplexity"], + delta=self.delta, + msg=f"Current perplexity deviates baseline by {perplexity_difference}", + ) + + +if __name__ == "__main__": + unittest.main() From 6a9b5b324df1073122f46d8d8927777ad0b70759 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 04:11:16 -0500 Subject: [PATCH 09/51] Reduce tqdm progress print frequency --- sharktank/sharktank/evaluate/perplexity_torch.py | 1 + 1 file changed, 1 insertion(+) diff --git a/sharktank/sharktank/evaluate/perplexity_torch.py b/sharktank/sharktank/evaluate/perplexity_torch.py index 41dfaba17..768b6b7ce 100644 --- a/sharktank/sharktank/evaluate/perplexity_torch.py +++ b/sharktank/sharktank/evaluate/perplexity_torch.py @@ -177,6 +177,7 @@ def get_logits(self): start = 0 for i in tqdm( range(start, self.max_prompt_length - 1), + miniters=50, desc="eval: Calculating logits", ): logger.debug(f"Iteration: {i}") From dfa32183b245677ea0ba0a0521d5600a6fd0705d Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 04:18:01 -0500 Subject: [PATCH 10/51] Add -s flag for pytest to display test progress --- .github/workflows/ci_eval.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 597fd0b99..af78d7413 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -59,6 +59,6 @@ jobs: pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - name: Run perplexity test in eager mode - run: pytest -n 4 -v sharktank/tests/evaluate/perplexity_torch_test.py --longrun + run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_torch_test.py --longrun - name: Run perplexity test with vmfb - run: pytest -n 4 -v sharktank/tests/evaluate/perplexity_vmfb_test.py --longrun + run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --longrun From 7c85d0dbe7a4aeaaecaa22f3f5a8b8fe77815560 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 04:41:26 -0500 Subject: [PATCH 11/51] Update vmfb perplexity --- .../sharktank/evaluate/perplexity_vmfb.py | 279 +++++++++++------- 1 file changed, 176 insertions(+), 103 deletions(-) diff --git a/sharktank/sharktank/evaluate/perplexity_vmfb.py b/sharktank/sharktank/evaluate/perplexity_vmfb.py index d42f77ebd..5232bcc40 100644 --- a/sharktank/sharktank/evaluate/perplexity_vmfb.py +++ b/sharktank/sharktank/evaluate/perplexity_vmfb.py @@ -19,14 +19,19 @@ import torch from torch.nn import CrossEntropyLoss +from sharktank.models.llama.llama import * +from sharktank.models.mixtral.mixtral import * +from sharktank.models.grok.grok import * + +from ..models.llama.sharding import shard_theta + from sharktank.layers import * from sharktank.types import * -from sharktank.utils.vmfb_runner import * from sharktank.utils import cli +from sharktank.utils.vmfb_runner import * from sharktank.utils.load_llm import * - -import iree.runtime as ireert +from sharktank.utils.create_cache import * log_levels = { "info": logging.INFO, @@ -34,7 +39,7 @@ } logger = logging.getLogger("eval") -logger.setLevel(log_levels["info"]) +logger.setLevel(log_levels["debug"]) logger.root.handlers[0].setFormatter( logging.Formatter(fmt="\n%(levelname)s:%(name)-8s %(message)s") @@ -53,17 +58,14 @@ class Perplexity: """ def __init__( - self, - device, - tokenizer, + self, torch_device, iree_device, kv_cache_type, tensor_parallelism_size ): - self.device = device - self.tokenizer = tokenizer - self.pad_sequence_stride = 16 - self.block_seq_stride = 16 - self.free_pages = list(range(1, 8192)) - # TODO: investigate cache - self.cache_state = model.cache.paged.allocate(page_cache_size) + self.torch_device = torch_device + self.iree_device = iree_device + self.kv_cache_type = kv_cache_type + self.activation_dtype = torch.float32 + self.attention_dtype = torch.float32 + self.tensor_parallelism_size = tensor_parallelism_size def timeit(func): def wrapper(*args, **kwargs): @@ -87,55 +89,58 @@ def wrapper(*args, **kwargs): def print_token_comparison(self, i): if i <= self.max_prompt_length: batch_predicted_token_id = [[i[-1]] for i in self.batch.results] - batch_predicted_token = self.tokenizer.decode(batch_predicted_token_id) + batch_predicted_token = self.generator.tokenizer.decode( + batch_predicted_token_id + ) logger.debug(f"Predicted:") logger.debug(f"{batch_predicted_token}") logger.debug(f"{batch_predicted_token_id}") expected_token_id = self.token_ids[:, i + 1 : i + 2].tolist() - expected_token = self.tokenizer.decode(expected_token_id) + expected_token = self.generator.tokenizer.decode(expected_token_id) logger.debug(f"Expected:") logger.debug(f"{expected_token}") logger.debug(f"{expected_token_id}") - def alloc_page(self) -> int: - # Only applies for paged attention - return self.free_pages.pop() - - def pad_block_ids(self, seq_block_ids) -> torch.Tensor: - max_length = max(len(r) for r in seq_block_ids) - rows = [r + (max_length - len(r)) * [0] for r in seq_block_ids] - return torch.tensor(rows) - @timeit - def load_model(self, vmfb_path, gguf_weight_path): - return vmfbRunner( - device=self.device, - vmfb_path=vmfb_path, - external_weight_path=gguf_weight_path, + def load_model(self, weight_path, tokenizer, vmfb_path, weight_path_str): + + config = LlamaModelConfig( + hp=configs.LlamaHParams.from_gguf_props(weight_path.properties), + block_seq_stride=16, + kv_cache_type=self.kv_cache_type, + device=self.torch_device, + activation_dtype=self.activation_dtype, + attention_dtype=self.attention_dtype, + tensor_parallelism_size=self.tensor_parallelism_size, ) - def get_args(self, seq_lens_batch): - # Assemble the batch. - seq_stride = self.block_seq_stride - seq_block_ids: list[list[int]] = [] - for seq_len in seq_lens_batch: - blocks_needed = ( - int(math.ceil(seq_len / seq_stride)) if seq_stride > 0 else 0 - ) - row = [] - for _ in range(blocks_needed): - row.append(self.alloc_page()) - seq_block_ids.append(row) + if config.tensor_parallelism_size > 1: + weight_path.root_theta = shard_theta(weight_path.root_theta, config) + + theta = weight_path.root_theta + + if config.hp.expert_count: + if config.hp.model_arch == "grok": + model = PagedGrokModelV1(theta, config) + else: + model = PagedMixtralModelV1(theta, config) + else: + model = PagedLlamaModelV1(theta, config) - return seq_block_ids + self.generator = TorchGenerator(model, tokenizer) + + self.runner = vmfbRunner( + device=self.iree_device, + vmfb_path=vmfb_path, + external_weight_path=weight_path_str, + ) @timeit def get_prompts(self): test_prompts = load_dataset("wikitext", "wikitext-2-raw-v1", split="test")[ "text" ] - num_test_prompts = 219 random.seed(0) @@ -152,14 +157,87 @@ def get_prompts(self): return test_prompts + def prefill_vmfb(self, token_batch, i): + + logger.debug(f"Prefill:") + + logger.debug("Input:") + logger.debug(f"{self.generator.tokenizer.decode(token_batch)}") + + token_batch, seq_lens_batch = self.generator.tokenizer.pad_tokens( + token_ids=token_batch.tolist(), + pad_to_multiple_of=self.generator.model.cache.pad_sequence_stride, + ) + + logger.debug(f"{token_batch}") + + token_batch = torch.tensor(token_batch, device=self.torch_device) + self.seq_lens_batch = torch.tensor(seq_lens_batch, device=self.torch_device) + + self.batch = self.generator.begin_eval_batch( + token_batch=token_batch, + seq_lens_batch=self.seq_lens_batch, + bs=self.bs, + ) + + seq_block_ids = self.batch.pad_block_ids() + prefill_logits = self.runner.ctx.modules.module.prefill_bs4( + token_batch, + self.seq_lens_batch, + seq_block_ids, + self.batch.cache_state[0].to(torch.float16), + ) + + prefill_logits = torch.tensor(prefill_logits[:, 0:1, :]) + + tokens = torch.tensor( + self.generator.model.extract_tokens_from_logits( + prefill_logits, seq_lens_batch + ) + ).unsqueeze(1) + self.batch.add_result_token(tokens) + + self.print_token_comparison(i) + return prefill_logits + + def decode_vmfb(self, token_batch, i): + logger.debug("Decode:") + + logger.debug("Input:") + logger.debug(f"{self.generator.tokenizer.decode(token_batch)}") + logger.debug(f"{token_batch.tolist()}") + + start_positions = self.seq_lens_batch.clone() + self.seq_lens_batch.add_(1) + self.batch.allocate_seq_block_ids() + seq_block_ids = self.batch.pad_block_ids() + + decode_logits = self.runner.ctx.modules.module.decode_bs4( + token_batch, + self.seq_lens_batch, + start_positions, + seq_block_ids, + self.batch.cache_state[0].to(torch.float16), + ) + + decode_logits = torch.tensor(decode_logits[:, :, :]) + + tokens = torch.tensor( + self.generator.model.extract_tokens_from_logits( + decode_logits, [1] * self.bs + ), + device=self.generator.model.device, + ).unsqueeze(1) + self.batch.add_result_token(tokens) + self.print_token_comparison(i) + return decode_logits + @timeit - def get_logits( - self, - ): + def get_logits(self): - token_ids, seq_lens = self.tokenizer.encode( + token_ids, seq_lens = self.generator.tokenizer.encode( self.test_prompts, - pad_to_multiple_of=self.pad_sequence_stride, + pad_to_multiple_of=self.generator.model.cache.pad_sequence_stride, ) logger.info(f" Prompts for Evaluation:") @@ -169,8 +247,11 @@ def get_logits( ) self.max_prompt_length = max(seq_lens) - self.token_ids = torch.tensor(token_ids) - self.attention_mask = (self.token_ids != 0).int().detach().clone() + + self.token_ids = torch.tensor(token_ids, device=self.torch_device) + self.attention_mask = ( + (self.token_ids != 0).int().detach().clone().to(self.torch_device) + ) self.bs = len(self.test_prompts) @@ -185,54 +266,18 @@ def get_logits( if is_first_token: token_batch = self.token_ids[:, : i + 1] - logger.debug(f"Prefill:") - - logger.debug("Input:") - logger.debug(f"{self.tokenizer.decode(token_batch)}") - - token_batch, seq_lens_batch = self.tokenizer.pad_tokens( - token_ids=token_batch.tolist(), - pad_to_multiple_of=self.pad_sequence_stride, - ) - logger.debug(f"{token_batch}") + prefill_logits = self.prefill_vmfb(token_batch, i) + self.out_logits = prefill_logits - token_batch = torch.tensor(token_batch, device=self.device) - seq_lens_batch = torch.tensor(seq_lens_batch, device=self.device) - - seq_block_ids = self.get_args(seq_lens_batch) - seq_block_ids = self.pad_block_ids(seq_block_ids) - prefill_logits = self.runner.ctx.modules.module.prefill_bs4( - token_batch, seq_lens_batch, seq_block_ids, self.cache_state - ) - - self.out_logits = prefill_logits[:, -1, :] is_first_token = False - self.print_token_comparison(i) - else: token_batch = self.token_ids[:, i : i + 1] - logger.debug("Decode:") - - logger.debug("Input:") - logger.debug(f"{self.tokenizer.decode(token_batch)}") - logger.debug(f"{token_batch.tolist()}") - - start_positions = seq_lens_batch.clone() - seq_lens_batch.add_(1) - - seq_block_ids = self.get_args(seq_lens_batch) - seq_block_ids = self.pad_block_ids(seq_block_ids) - decode_logits = self.runner.ctx.modules.module.decode_bs4( - token_batch, start_positions, seq_block_ids, self.cache_state - ) - + decode_logits = self.decode_vmfb(token_batch, i) self.out_logits = torch.cat((self.out_logits, decode_logits), 1) - self.print_token_comparison(i) - pad_logits_shape = self.token_ids.shape[1] - self.out_logits.shape[1] self.pad_logits = torch.zeros( @@ -240,7 +285,7 @@ def get_logits( ) self.out_logits = torch.cat((self.out_logits, self.pad_logits), 1).to( - self.device + self.torch_device ) @timeit @@ -287,12 +332,23 @@ def get_perplexity(self, test_prompts): def run_perplexity( vmfb_path, - gguf_weight_path, + weight_path, + weight_path_str, tokenizer, - device, + torch_device, + iree_device, + kv_cache_type, + tensor_parallelism_size, ): - perplexity = Perplexity(device=device, tokenizer=tokenizer) - perplexity.load_model(tokenizer, vmfb_path, gguf_weight_path) + perplexity = Perplexity( + torch_device=torch_device, + iree_device=iree_device, + kv_cache_type=kv_cache_type, + tensor_parallelism_size=tensor_parallelism_size, + ) + + # perplexity.load_model(tokenizer, vmfb_path, weight_path) + perplexity.load_model(weight_path, tokenizer, vmfb_path, weight_path_str) test_prompts = perplexity.get_prompts() ppl = perplexity.get_perplexity(test_prompts=test_prompts) @@ -301,24 +357,41 @@ def run_perplexity( def main(argv): parser = cli.create_parser() - parser.add_argument("--device", help="Torch device (or default)") + parser.add_argument("--kv-cache-type", default="paged", help="KV cache type") + parser.add_argument("--torch-device", help="Torch device (or default)") + parser.add_argument( + "--iree-device", help="List an IREE device from iree-run-module --list_devices" + ) + parser.add_argument("--vmfb-path", help="Path to vmfb file") + parser.add_argument( + "--tensor-parallelism-size", + type=int, + default=1, + help="Number of devices for tensor parallel sharding.", + ) cli.add_tokenizer_options(parser) + cli.add_input_dataset_options(parser) args = cli.parse(parser, args=argv) - device = torch.device(args.device) if args.device else None + torch_device = torch.device(args.torch_device) if args.torch_device else None + iree_device = args.iree_device + kv_cache_type = args.kv_cache_type + weight_path = cli.get_input_dataset(args) tokenizer = cli.get_tokenizer(args) - # device could be local-sync:// local-task:// - device = "hip://GPU-34346462-3466-6333-3231-353561336563" - vmfb_path = "/home/aramalin/SHARK-Platform/artifacts/llama70b_q4_1.vmfb" - gguf_weight_path = "/data/extra/models/llama70b_q4_1.gguf" + vmfb_path = args.vmfb_path + weight_path_str = str(args.irpa_file) ppl = run_perplexity( vmfb_path=vmfb_path, - gguf_weight_path=gguf_weight_path, + weight_path=weight_path, + weight_path_str=weight_path_str, tokenizer=tokenizer, - device=device, + torch_device=torch_device, + iree_device=iree_device, + kv_cache_type=kv_cache_type, + tensor_parallelism_size=args.tensor_parallelism_size, ) logger.info(f"\n{json.dumps(ppl, indent=2)}") From 26b48de3126f3d93b97b63c928edf4219d4556a3 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 12:48:55 -0500 Subject: [PATCH 12/51] Address review comments --- sharktank/conftest.py | 2 +- sharktank/sharktank/evaluate/perplexity_vmfb.py | 7 +++---- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/sharktank/conftest.py b/sharktank/conftest.py index cd0b1918d..a32571db8 100644 --- a/sharktank/conftest.py +++ b/sharktank/conftest.py @@ -124,7 +124,7 @@ def pytest_addoption(parser): "--baseline-perplexity-scores", type=Path, action="store", - default="/home/aramalin/SHARK-Platform/sharktank/tests/evaluate/baseline_perplexity_scores.json", + default="sharktank/tests/evaluate/baseline_perplexity_scores.json", help="Llama3.1 8B & 405B model baseline perplexity scores", ) diff --git a/sharktank/sharktank/evaluate/perplexity_vmfb.py b/sharktank/sharktank/evaluate/perplexity_vmfb.py index 5232bcc40..d20038d6f 100644 --- a/sharktank/sharktank/evaluate/perplexity_vmfb.py +++ b/sharktank/sharktank/evaluate/perplexity_vmfb.py @@ -39,7 +39,7 @@ } logger = logging.getLogger("eval") -logger.setLevel(log_levels["debug"]) +logger.setLevel(log_levels["info"]) logger.root.handlers[0].setFormatter( logging.Formatter(fmt="\n%(levelname)s:%(name)-8s %(message)s") @@ -188,7 +188,7 @@ def prefill_vmfb(self, token_batch, i): self.batch.cache_state[0].to(torch.float16), ) - prefill_logits = torch.tensor(prefill_logits[:, 0:1, :]) + prefill_logits = torch.tensor(prefill_logits[:, :, :]) tokens = torch.tensor( self.generator.model.extract_tokens_from_logits( @@ -268,7 +268,7 @@ def get_logits(self): token_batch = self.token_ids[:, : i + 1] prefill_logits = self.prefill_vmfb(token_batch, i) - self.out_logits = prefill_logits + self.out_logits = prefill_logits[:, 0:1, :] is_first_token = False @@ -347,7 +347,6 @@ def run_perplexity( tensor_parallelism_size=tensor_parallelism_size, ) - # perplexity.load_model(tokenizer, vmfb_path, weight_path) perplexity.load_model(weight_path, tokenizer, vmfb_path, weight_path_str) test_prompts = perplexity.get_prompts() ppl = perplexity.get_perplexity(test_prompts=test_prompts) From 3945f376eef3e84298d7f004c13d7d0f57496b58 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 20:57:33 -0500 Subject: [PATCH 13/51] Add export & compile tests --- .github/workflows/ci_eval.yaml | 53 ++++++- sharktank/conftest.py | 113 +++++++++++-- .../sharktank/evaluate/perplexity_vmfb.py | 6 +- .../tests/evaluate/export_artifacts_test.py | 149 ++++++++++++++++++ .../tests/evaluate/perplexity_torch_test.py | 4 +- .../tests/evaluate/perplexity_vmfb_test.py | 4 +- 6 files changed, 303 insertions(+), 26 deletions(-) create mode 100644 sharktank/tests/evaluate/export_artifacts_test.py diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index af78d7413..68504bdda 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -1,6 +1,7 @@ name: Evaluation Tests on: + pull_request: workflow_dispatch: schedule: # Weekdays nightly at 07:00 UTC = 23:00 PST / 00:00 PDT. @@ -15,9 +16,9 @@ concurrency: cancel-in-progress: true jobs: - test_perplexity: + test_perplexity_torch: timeout-minutes: 600 - name: "Evaluation Tests - perplexity" + name: "Evaluation Tests - perplexity_torch" strategy: matrix: version: [3.11] @@ -60,5 +61,51 @@ jobs: - name: Run perplexity test in eager mode run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_torch_test.py --longrun + + test_perplexity_vmfb: + timeout-minutes: 600 + name: "Evaluation Tests - perplexity_vmfb" + strategy: + matrix: + version: [3.11] + runs-on: [llama-mi300] + fail-fast: false + runs-on: ${{matrix.runs-on}} + defaults: + run: + shell: bash + env: + PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache" + SHARK_PLATFORM_REPO_ROOT: ${{ github.workspace }} + steps: + - name: "Setting up Python" + id: setup_python + uses: actions/setup-python@v3 + with: + python-version: ${{matrix.version}} + + - name: "Checkout Code" + uses: actions/checkout@v3 + + - name: Cache Pip Packages + uses: actions/cache@v4 + id: cache-pip + with: + path: ${{ env.PIP_CACHE_DIR }} + key: pip-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*requirements.txt') }} + + - name: Install sharktank deps + run: | + python -m pip install --no-compile --upgrade pip + # Note: We install in three steps in order to satisfy requirements + # from non default locations first. Installing the PyTorch CPU + # wheels saves multiple minutes and a lot of bandwidth on runner setup. + pip install --no-compile -r pytorch-cpu-requirements.txt + pip install --no-compile -f https://iree.dev/pip-release-links.html --src deps \ + -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" + pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ + + - name: Export mlir and vmfb + run: pytest -n 4 -v -s sharktank/tests/evaluate/export_artifacts.py - name: Run perplexity test with vmfb - run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --longrun + run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun diff --git a/sharktank/conftest.py b/sharktank/conftest.py index a32571db8..79d2d477b 100644 --- a/sharktank/conftest.py +++ b/sharktank/conftest.py @@ -80,6 +80,14 @@ def pytest_addoption(parser): help="Llama3.1 8b tokenizer path, defaults to 30F CI system path", ) + parser.addoption( + "--llama3-8b-json-path", + type=Path, + action="store", + default="/data/extra/models/llama3.1_8B/llama8b_test.json", + help="Llama3.1 8b fp8 parameters json path", + ) + parser.addoption( "--llama3-8b-f16-model-path", type=Path, @@ -96,6 +104,30 @@ def pytest_addoption(parser): help="Llama3.1 8b fp8 model path", ) + parser.addoption( + "--llama3-8b-f16-mlir-path", + type=Path, + action="store", + default="/data/extra/models/llama3.1_8B/llama8b_f16_test.mlir", + help="Llama3.1 8b mlir path, defaults to 30F CI system path", + ) + + parser.addoption( + "--llama3-8b-fp8-mlir-path", + type=Path, + action="store", + default=None, + help="Llama3.1 8b fp8 mlir path", + ) + + parser.addoption( + "--llama3-8b-f16-vmfb-path", + type=Path, + action="store", + default="/data/extra/models/llama3.1_8B/llama8b_f16.vmfb", + help="Llama3.1 8b fp16 vmfb path, defaults to 30F CI system path", + ) + parser.addoption( "--llama3-405b-tokenizer-path", type=Path, @@ -104,6 +136,14 @@ def pytest_addoption(parser): help="Llama3.1 405b tokenizer path, defaults to 30F CI system path", ) + parser.addoption( + "--llama3-405b-json-path", + type=Path, + action="store", + default="/data/extra/models/llama3.1_405B/llama405b_test.json", + help="Llama3.1 405b fp8 parameters json path", + ) + parser.addoption( "--llama3-405b-f16-model-path", type=Path, @@ -121,19 +161,19 @@ def pytest_addoption(parser): ) parser.addoption( - "--baseline-perplexity-scores", + "--llama3-405b-f16-mlir-path", type=Path, action="store", - default="sharktank/tests/evaluate/baseline_perplexity_scores.json", - help="Llama3.1 8B & 405B model baseline perplexity scores", + default="/data/extra/models/llama3.1_405B/llama405b_fp16_test.mlir", + help="Llama3.1 405b mlir path, defaults to 30F CI system path", ) parser.addoption( - "--llama3-8b-f16-vmfb-path", + "--llama3-405b-fp8-mlir-path", type=Path, action="store", - default="/data/extra/models/llama3.1_8B/llama8b_f16.vmfb", - help="Llama3.1 8b fp16 vmfb path, defaults to 30F CI system path", + default=None, + help="Llama3.1 405b fp8 mlir path", ) parser.addoption( @@ -144,6 +184,14 @@ def pytest_addoption(parser): help="Llama3.1 405b fp16 vmfb path, defaults to 30F CI system path", ) + parser.addoption( + "--baseline-perplexity-scores", + type=Path, + action="store", + default="sharktank/tests/evaluate/baseline_perplexity_scores.json", + help="Llama3.1 8B & 405B model baseline perplexity scores", + ) + parser.addoption( "--iree-device", type=str, @@ -158,6 +206,21 @@ def pytest_addoption(parser): help="Specify the iree-hip target version (e.g., gfx942)", ) + parser.addoption( + "--iree-hal-target-backends", + action="store", + default="rocm", + help="Specify the iree-hal target backend (e.g., rocm)", + ) + + parser.addoption( + "--tensor-parallelism-size", + action="store", + type=int, + default=1, + help="Number of devices for tensor parallel sharding", + ) + def set_fixture_from_cli_option( request: FixtureRequest, @@ -206,7 +269,21 @@ def iree_hip_target_type(request: FixtureRequest) -> Optional[str]: @pytest.fixture(scope="class") -def get_model_path(request: FixtureRequest): +def tensor_parallelism_size(request: FixtureRequest) -> Optional[str]: + return set_fixture_from_cli_option( + request, "tensor_parallelism_size", "tensor_parallelism_size" + ) + + +@pytest.fixture(scope="class") +def baseline_perplexity_scores(request: FixtureRequest) -> Optional[str]: + return set_fixture_from_cli_option( + request, "baseline_perplexity_scores", "baseline_perplexity_scores" + ) + + +@pytest.fixture(scope="class") +def get_model_artifacts(request: FixtureRequest): model_path = {} model_path["llama3_8b_tokenizer_path"] = set_fixture_from_cli_option( request, "--llama3-8b-tokenizer-path", "llama3_8b_tokenizer" @@ -226,16 +303,18 @@ def get_model_path(request: FixtureRequest): model_path["llama3_405b_fp8_model_path"] = set_fixture_from_cli_option( request, "--llama3-405b-fp8-model-path", "llama3_405b_fp8_model" ) - model_path["baseline_perplexity_scores"] = set_fixture_from_cli_option( - request, "--baseline-perplexity-scores", "baseline_perplexity_scores" - ) - model_path["llama3_8b_f16_vmfb"] = set_fixture_from_cli_option( - request, "--llama3-8b-f16-vmfb-path", "llama3_8b_f16_vmfb" - ) - model_path["llama3_405b_f16_vmfb"] = set_fixture_from_cli_option( - request, "--llama3-405b-f16-vmfb-path", "llama3_405b_f16_vmfb" - ) + return model_path + + +@pytest.fixture(scope="class") +def get_iree_flags(request: FixtureRequest): + model_path = {} model_path["iree_device"] = set_fixture_from_cli_option( request, "--iree-device", "iree_device" ) - return model_path + model_path["iree_hip_target"] = set_fixture_from_cli_option( + request, "--iree-hip-target", "iree_hip_target" + ) + model_path["iree_hal_target_backends"] = set_fixture_from_cli_option( + request, "--iree-hal-target-backends", "iree_hal_target_backends" + ) diff --git a/sharktank/sharktank/evaluate/perplexity_vmfb.py b/sharktank/sharktank/evaluate/perplexity_vmfb.py index d20038d6f..75cf5ca63 100644 --- a/sharktank/sharktank/evaluate/perplexity_vmfb.py +++ b/sharktank/sharktank/evaluate/perplexity_vmfb.py @@ -358,15 +358,13 @@ def main(argv): parser = cli.create_parser() parser.add_argument("--kv-cache-type", default="paged", help="KV cache type") parser.add_argument("--torch-device", help="Torch device (or default)") - parser.add_argument( - "--iree-device", help="List an IREE device from iree-run-module --list_devices" - ) + parser.add_argument("--iree-device", help="List an IREE device, eg: 'hip://0'") parser.add_argument("--vmfb-path", help="Path to vmfb file") parser.add_argument( "--tensor-parallelism-size", type=int, default=1, - help="Number of devices for tensor parallel sharding.", + help="Number of devices for tensor parallel sharding", ) cli.add_tokenizer_options(parser) diff --git a/sharktank/tests/evaluate/export_artifacts_test.py b/sharktank/tests/evaluate/export_artifacts_test.py new file mode 100644 index 000000000..aa8a03582 --- /dev/null +++ b/sharktank/tests/evaluate/export_artifacts_test.py @@ -0,0 +1,149 @@ +# Copyright 2024 Advanced Micro Devices, Inc +# +# Licensed under the Apache License v2.0 with LLVM Exceptions. +# See https://llvm.org/LICENSE.txt for license information. +# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception + +import os +from pathlib import Path +import unittest +import pytest +import subprocess +import logging +import itertools + +import iree.compiler as ireec + +logger = logging.getLogger("eval") + +logger.setLevel(logging.INFO) + +# logger.root.handlers[0].setFormatter( +# logging.Formatter(fmt="\n%(levelname)s:%(name)-8s %(message)s") +# ) + +pytestmark = pytest.mark.usefixtures( + "get_model_artifacts", "get_iree_flags", "tensor_parallelism_size" +) + + +class ExportArtifacts(unittest.TestCase): + def setUp(self): + self.sharktank_dir = str( + Path(os.path.dirname(os.path.abspath(__file__))).parent.parent + ) + + def export_to_mlir( + self, + attention_kernel: str, + tensor_parallelism_size: int, + irpa_path: str, + mlir_path: str, + json_path: str, + ): + export_args = [ + "python3", + "-m", + "sharktank.examples.export_paged_llm_v1", + "--irpa-file", + irpa_path, + "--output-mlir", + mlir_path, + "--output-config", + json_path, + ] + if attention_kernel == "decomposed": + export_args.append("--attention-kernel") + export_args.append(attention_kernel) + elif self.attention_kernel == "torch_sdpa": + raise NotImplementedError("attention_kernel torch_sdpa not implemented yet") + if tensor_parallelism_size: + export_args.append("--tensor-parallelism-size") + export_args.append(str(tensor_parallelism_size)) + + cmd = subprocess.list2cmdline(export_args) + + logger.info(f"Exporting mlir:\n" f"cd {self.sharktank_dir} && {cmd}") + proc = subprocess.run( + cmd, shell=True, capture_output=True, cwd=self.sharktank_dir + ) + return_code = proc.returncode + if return_code != 0: + logger.error("Error exporting mlir: ", return_code) + + def compile_to_vmfb( + self, + mlir_path: str, + vmfb_path: str, + iree_hip_target: str, + iree_hal_target_backends: str, + ): + compile_flags = ["--iree-hip-target=" + iree_hip_target] + + try: + ireec.compile_file( + input_file=mlir_path, + target_backends=[iree_hal_target_backends], + extra_args=compile_flags, + output_file=vmfb_path, + ) + except Exception as error: + logger.error("Error invoking iree-compile: ", error) + + def create_file(self, suffix, prefix): + file_path = Path(prefix).with_suffix(suffix) + f = open(file_path, "w") + return file_path + + def test_export(self): + + model_paths = [ + self.llama3_8b_f16_model, + self.llama3_8b_fp8_model, + self.llama3_405b_f16_model, + self.llama3_405b_fp8_model, + ] + attention_kernels = ["decomposed", "torch_sdpa"] + + self.dir_path = self.sharktank_dir + "/" + "ppl_artifacts/" + temp_dir = Path(self.dir_path) + temp_dir.mkdir(parents=True, exist_ok=True) + + for model_path, attention_kernel in list( + itertools.product(model_paths, attention_kernels) + ): + model_name = ( + str(model_path).split("/")[-1].split(".")[0] + "_" + attention_kernel + ) + mlir_path = str( + self.create_file(suffix=".mlir", prefix=self.dir_path + model_name) + ) + json_path = str( + self.create_file(suffix=".json", prefix=self.dir_path + model_name) + ) + vmfb_path = str( + self.create_file(suffix=".vmfb", prefix=self.dir_path + model_name) + ) + logger.info( + f"*************************iree-compile: *************************\n {model_path}, {attention_kernel}, {self.dir_path}, {mlir_path}, {vmfb_path}, {self.iree_hal_target_backends}, {self.iree_hip_target}" + ) + + if attention_kernel == "decomposed": + self.export_to_mlir( + attention_kernel=attention_kernel, + tensor_parallelism_size=self.tensor_parallelism_size, + irpa_path=model_path, + mlir_path=mlir_path, + json_path=json_path, + ) + + self.compile_to_vmfb( + mlir_path=mlir_path, + vmfb_path=vmfb_path, + iree_hip_target=self.iree_hip_target, + iree_hal_target_backends=self.iree_hal_target_backends, + ) + + +if __name__ == "__main__": + unittest.main() diff --git a/sharktank/tests/evaluate/perplexity_torch_test.py b/sharktank/tests/evaluate/perplexity_torch_test.py index 3c5ff0cda..54af77a9e 100644 --- a/sharktank/tests/evaluate/perplexity_torch_test.py +++ b/sharktank/tests/evaluate/perplexity_torch_test.py @@ -13,7 +13,9 @@ longrun = pytest.mark.skipif("not config.getoption('longrun')") -@pytest.mark.usefixtures("get_model_path") +@pytest.mark.usefixtures( + "get_model_artifacts", "tensor_parallelism_size", "baseline_perplexity_scores" +) class PerplexityTest(unittest.TestCase): def setUp(self): self.current_perplexity_all = {} diff --git a/sharktank/tests/evaluate/perplexity_vmfb_test.py b/sharktank/tests/evaluate/perplexity_vmfb_test.py index a52c9d63e..16bfda668 100644 --- a/sharktank/tests/evaluate/perplexity_vmfb_test.py +++ b/sharktank/tests/evaluate/perplexity_vmfb_test.py @@ -13,7 +13,9 @@ longrun = pytest.mark.skipif("not config.getoption('longrun')") -@pytest.mark.usefixtures("get_model_path") +@pytest.mark.usefixtures( + "get_model_artifacts", "tensor_parallelism_size", "baseline_perplexity_scores" +) class PerplexityTest(unittest.TestCase): def setUp(self): self.current_perplexity_all = {} From c9fa0724710d36a035ce0eed386211468c1a307f Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 21:26:37 -0500 Subject: [PATCH 14/51] Update export test script --- .github/workflows/ci_eval.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 68504bdda..f921fb09b 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -106,6 +106,6 @@ jobs: pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - name: Export mlir and vmfb - run: pytest -n 4 -v -s sharktank/tests/evaluate/export_artifacts.py + run: pytest -v -s sharktank/tests/evaluate/export_artifacts_test.py - name: Run perplexity test with vmfb run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun From 7f4de966e4b9d456a4d273a6c9d33f1b9fcfb516 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 21:33:29 -0500 Subject: [PATCH 15/51] Cleanup --- .github/workflows/ci_eval.yaml | 20 +++++++++---------- .../tests/evaluate/export_artifacts_test.py | 9 +++------ 2 files changed, 13 insertions(+), 16 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index f921fb09b..9a4a7df23 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -16,9 +16,9 @@ concurrency: cancel-in-progress: true jobs: - test_perplexity_torch: + test_perplexity_vmfb: timeout-minutes: 600 - name: "Evaluation Tests - perplexity_torch" + name: "Evaluation Tests - perplexity_vmfb" strategy: matrix: version: [3.11] @@ -59,12 +59,14 @@ jobs: -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - - name: Run perplexity test in eager mode - run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_torch_test.py --longrun + - name: Export mlir and vmfb + run: pytest -v -s sharktank/tests/evaluate/export_artifacts_test.py + - name: Run perplexity test with vmfb + run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun - test_perplexity_vmfb: + test_perplexity_torch: timeout-minutes: 600 - name: "Evaluation Tests - perplexity_vmfb" + name: "Evaluation Tests - perplexity_torch" strategy: matrix: version: [3.11] @@ -105,7 +107,5 @@ jobs: -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - - name: Export mlir and vmfb - run: pytest -v -s sharktank/tests/evaluate/export_artifacts_test.py - - name: Run perplexity test with vmfb - run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun + - name: Run perplexity test in eager mode + run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_torch_test.py --longrun diff --git a/sharktank/tests/evaluate/export_artifacts_test.py b/sharktank/tests/evaluate/export_artifacts_test.py index aa8a03582..52dde031c 100644 --- a/sharktank/tests/evaluate/export_artifacts_test.py +++ b/sharktank/tests/evaluate/export_artifacts_test.py @@ -18,9 +18,9 @@ logger.setLevel(logging.INFO) -# logger.root.handlers[0].setFormatter( -# logging.Formatter(fmt="\n%(levelname)s:%(name)-8s %(message)s") -# ) +logger.root.handlers[0].setFormatter( + logging.Formatter(fmt="\n%(levelname)s:%(name)-8s %(message)s") +) pytestmark = pytest.mark.usefixtures( "get_model_artifacts", "get_iree_flags", "tensor_parallelism_size" @@ -124,9 +124,6 @@ def test_export(self): vmfb_path = str( self.create_file(suffix=".vmfb", prefix=self.dir_path + model_name) ) - logger.info( - f"*************************iree-compile: *************************\n {model_path}, {attention_kernel}, {self.dir_path}, {mlir_path}, {vmfb_path}, {self.iree_hal_target_backends}, {self.iree_hip_target}" - ) if attention_kernel == "decomposed": self.export_to_mlir( From 1a26ed733069158f7283b00717cba5cdb9dfd0ad Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 22:26:17 -0500 Subject: [PATCH 16/51] Test export --- .github/workflows/ci_eval.yaml | 2 ++ sharktank/tests/evaluate/export_artifacts_test.py | 4 ++++ 2 files changed, 6 insertions(+) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 9a4a7df23..51628bd9b 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -59,6 +59,8 @@ jobs: -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ + - name: test + run: cd /home/esaimana/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank && python3 -m sharktank.examples.export_paged_llm_v1 --irpa-file /data/extra/models/llama3.1_8B/llama8b_f16.irpa --output-mlir /home/esaimana/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank/ppl_artifacts/llama8b_f16_decomposed.mlir --output-config /home/esaimana/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank/ppl_artifacts/llama8b_f16_decomposed.json --attention-kernel decomposed --tensor-parallelism-size 1 - name: Export mlir and vmfb run: pytest -v -s sharktank/tests/evaluate/export_artifacts_test.py - name: Run perplexity test with vmfb diff --git a/sharktank/tests/evaluate/export_artifacts_test.py b/sharktank/tests/evaluate/export_artifacts_test.py index 52dde031c..a77ff8e31 100644 --- a/sharktank/tests/evaluate/export_artifacts_test.py +++ b/sharktank/tests/evaluate/export_artifacts_test.py @@ -63,6 +63,10 @@ def export_to_mlir( cmd = subprocess.list2cmdline(export_args) + logger.info( + f"export_args: {export_args}\n self.sharktank_dir: {self.sharktank_dir}" + ) + logger.info(f"Exporting mlir:\n" f"cd {self.sharktank_dir} && {cmd}") proc = subprocess.run( cmd, shell=True, capture_output=True, cwd=self.sharktank_dir From 27255126896d7bfb996eb2ad1e21b0849541709b Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 22:43:45 -0500 Subject: [PATCH 17/51] Update artifacts dir --- sharktank/tests/evaluate/export_artifacts_test.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/sharktank/tests/evaluate/export_artifacts_test.py b/sharktank/tests/evaluate/export_artifacts_test.py index a77ff8e31..2ef651c8a 100644 --- a/sharktank/tests/evaluate/export_artifacts_test.py +++ b/sharktank/tests/evaluate/export_artifacts_test.py @@ -32,6 +32,7 @@ def setUp(self): self.sharktank_dir = str( Path(os.path.dirname(os.path.abspath(__file__))).parent.parent ) + self.artifacts_dir = "/data/extra/models/" def export_to_mlir( self, @@ -109,7 +110,7 @@ def test_export(self): ] attention_kernels = ["decomposed", "torch_sdpa"] - self.dir_path = self.sharktank_dir + "/" + "ppl_artifacts/" + self.dir_path = self.artifacts_dir + "/" + "tmp_perplexity_ci_artifacts/" temp_dir = Path(self.dir_path) temp_dir.mkdir(parents=True, exist_ok=True) From d4d1d1808703150632a175c3faffda191cc101f0 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 22:55:16 -0500 Subject: [PATCH 18/51] Add batch size --- .github/workflows/ci_eval.yaml | 2 +- sharktank/conftest.py | 13 +++++++++++++ sharktank/tests/evaluate/export_artifacts_test.py | 6 +++++- 3 files changed, 19 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 51628bd9b..a1bdb136b 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -62,7 +62,7 @@ jobs: - name: test run: cd /home/esaimana/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank && python3 -m sharktank.examples.export_paged_llm_v1 --irpa-file /data/extra/models/llama3.1_8B/llama8b_f16.irpa --output-mlir /home/esaimana/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank/ppl_artifacts/llama8b_f16_decomposed.mlir --output-config /home/esaimana/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank/ppl_artifacts/llama8b_f16_decomposed.json --attention-kernel decomposed --tensor-parallelism-size 1 - name: Export mlir and vmfb - run: pytest -v -s sharktank/tests/evaluate/export_artifacts_test.py + run: pytest -v -s sharktank/tests/evaluate/export_artifacts_test.py --bs 4 - name: Run perplexity test with vmfb run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun diff --git a/sharktank/conftest.py b/sharktank/conftest.py index 79d2d477b..026424693 100644 --- a/sharktank/conftest.py +++ b/sharktank/conftest.py @@ -221,6 +221,14 @@ def pytest_addoption(parser): help="Number of devices for tensor parallel sharding", ) + parser.addoption( + "--bs", + action="store", + type=int, + default=4, + help="Batch size for mlir export", + ) + def set_fixture_from_cli_option( request: FixtureRequest, @@ -282,6 +290,11 @@ def baseline_perplexity_scores(request: FixtureRequest) -> Optional[str]: ) +@pytest.fixture(scope="class") +def batch_size(request: FixtureRequest) -> Optional[str]: + return set_fixture_from_cli_option(request, "bs", "batch_size") + + @pytest.fixture(scope="class") def get_model_artifacts(request: FixtureRequest): model_path = {} diff --git a/sharktank/tests/evaluate/export_artifacts_test.py b/sharktank/tests/evaluate/export_artifacts_test.py index 2ef651c8a..118282b2a 100644 --- a/sharktank/tests/evaluate/export_artifacts_test.py +++ b/sharktank/tests/evaluate/export_artifacts_test.py @@ -23,7 +23,7 @@ ) pytestmark = pytest.mark.usefixtures( - "get_model_artifacts", "get_iree_flags", "tensor_parallelism_size" + "get_model_artifacts", "get_iree_flags", "tensor_parallelism_size", "batch_size" ) @@ -41,6 +41,7 @@ def export_to_mlir( irpa_path: str, mlir_path: str, json_path: str, + batch_size: int, ): export_args = [ "python3", @@ -52,6 +53,8 @@ def export_to_mlir( mlir_path, "--output-config", json_path, + "--bs", + str(batch_size), ] if attention_kernel == "decomposed": export_args.append("--attention-kernel") @@ -137,6 +140,7 @@ def test_export(self): irpa_path=model_path, mlir_path=mlir_path, json_path=json_path, + batch_size=self.batch_size, ) self.compile_to_vmfb( From 1f02051411e42ab8736e530481b9d84796ba77e0 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 23:06:04 -0500 Subject: [PATCH 19/51] Test export --- .github/workflows/ci_eval.yaml | 81 +++++++++++++++++----------------- 1 file changed, 41 insertions(+), 40 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index dda1d40bb..4e2a9c362 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -64,47 +64,48 @@ jobs: - name: Run perplexity test with vmfb run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun - test_perplexity_torch: - name: "Evaluation Tests - perplexity_torch" - strategy: - matrix: - version: [3.11] - runs-on: [llama-mi300] - fail-fast: false - runs-on: ${{matrix.runs-on}} - defaults: - run: - shell: bash - env: - PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache" - SHARK_PLATFORM_REPO_ROOT: ${{ github.workspace }} - steps: - - name: "Setting up Python" - id: setup_python - uses: actions/setup-python@v3 - with: - python-version: ${{matrix.version}} + # test_perplexity_torch: + # timeout-minutes: 1000 + # name: "Evaluation Tests - perplexity_torch" + # strategy: + # matrix: + # version: [3.11] + # runs-on: [llama-mi300] + # fail-fast: false + # runs-on: ${{matrix.runs-on}} + # defaults: + # run: + # shell: bash + # env: + # PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache" + # SHARK_PLATFORM_REPO_ROOT: ${{ github.workspace }} + # steps: + # - name: "Setting up Python" + # id: setup_python + # uses: actions/setup-python@v3 + # with: + # python-version: ${{matrix.version}} - - name: "Checkout Code" - uses: actions/checkout@v3 + # - name: "Checkout Code" + # uses: actions/checkout@v3 - - name: Cache Pip Packages - uses: actions/cache@v4 - id: cache-pip - with: - path: ${{ env.PIP_CACHE_DIR }} - key: pip-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*requirements.txt') }} + # - name: Cache Pip Packages + # uses: actions/cache@v4 + # id: cache-pip + # with: + # path: ${{ env.PIP_CACHE_DIR }} + # key: pip-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*requirements.txt') }} - - name: Install sharktank deps - run: | - python -m pip install --no-compile --upgrade pip - # Note: We install in three steps in order to satisfy requirements - # from non default locations first. Installing the PyTorch CPU - # wheels saves multiple minutes and a lot of bandwidth on runner setup. - pip install --no-compile -r pytorch-cpu-requirements.txt - pip install --no-compile -f https://iree.dev/pip-release-links.html --src deps \ - -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" - pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ + # - name: Install sharktank deps + # run: | + # python -m pip install --no-compile --upgrade pip + # # Note: We install in three steps in order to satisfy requirements + # # from non default locations first. Installing the PyTorch CPU + # # wheels saves multiple minutes and a lot of bandwidth on runner setup. + # pip install --no-compile -r pytorch-cpu-requirements.txt + # pip install --no-compile -f https://iree.dev/pip-release-links.html --src deps \ + # -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" + # pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - - name: Run perplexity test in eager mode - run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_torch_test.py --longrun + # - name: Run perplexity test in eager mode + # run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_torch_test.py --longrun From 61901763066f3785216040ea976c3bfb79e3791b Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Thu, 24 Oct 2024 23:44:25 -0500 Subject: [PATCH 20/51] Remove artifacts dir --- sharktank/tests/evaluate/export_artifacts_test.py | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/sharktank/tests/evaluate/export_artifacts_test.py b/sharktank/tests/evaluate/export_artifacts_test.py index 118282b2a..6a8ad4ce8 100644 --- a/sharktank/tests/evaluate/export_artifacts_test.py +++ b/sharktank/tests/evaluate/export_artifacts_test.py @@ -30,9 +30,8 @@ class ExportArtifacts(unittest.TestCase): def setUp(self): self.sharktank_dir = str( - Path(os.path.dirname(os.path.abspath(__file__))).parent.parent + Path(os.path.dirname(os.path.abspath(__file__))).parent.parent.parent ) - self.artifacts_dir = "/data/extra/models/" def export_to_mlir( self, @@ -48,7 +47,7 @@ def export_to_mlir( "-m", "sharktank.examples.export_paged_llm_v1", "--irpa-file", - irpa_path, + str(irpa_path), "--output-mlir", mlir_path, "--output-config", @@ -71,10 +70,10 @@ def export_to_mlir( f"export_args: {export_args}\n self.sharktank_dir: {self.sharktank_dir}" ) - logger.info(f"Exporting mlir:\n" f"cd {self.sharktank_dir} && {cmd}") - proc = subprocess.run( - cmd, shell=True, capture_output=True, cwd=self.sharktank_dir - ) + cwd = self.sharktank_dir + "/sharktank" + + logger.info(f"Exporting mlir:\n" f"cd {cwd} && {cmd}") + proc = subprocess.run(cmd, shell=True, capture_output=True, cwd=cwd) return_code = proc.returncode if return_code != 0: logger.error("Error exporting mlir: ", return_code) @@ -113,7 +112,7 @@ def test_export(self): ] attention_kernels = ["decomposed", "torch_sdpa"] - self.dir_path = self.artifacts_dir + "/" + "tmp_perplexity_ci_artifacts/" + self.dir_path = self.sharktank_dir + "/" + "tmp_perplexity_ci_artifacts/" temp_dir = Path(self.dir_path) temp_dir.mkdir(parents=True, exist_ok=True) From 9fe2c406f56c412bc465a30430fc683b2b079cfd Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Fri, 25 Oct 2024 03:10:34 -0500 Subject: [PATCH 21/51] Remove export test and add as tool --- .github/workflows/ci_eval.yaml | 2 - .../sharktank/evaluate/perplexity_vmfb.py | 72 +++++- sharktank/sharktank/utils/export_artifacts.py | 135 +++++++++++ .../evaluate/baseline_perplexity_scores.json | 211 ++++++++++++++++++ .../tests/evaluate/export_artifacts_test.py | 154 ------------- .../tests/evaluate/perplexity_vmfb_test.py | 43 +++- 6 files changed, 440 insertions(+), 177 deletions(-) create mode 100644 sharktank/sharktank/utils/export_artifacts.py delete mode 100644 sharktank/tests/evaluate/export_artifacts_test.py diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 4e2a9c362..27b6c94e6 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -59,8 +59,6 @@ jobs: -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - - name: Export mlir and vmfb - run: pytest -v -s sharktank/tests/evaluate/export_artifacts_test.py --bs 4 - name: Run perplexity test with vmfb run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun diff --git a/sharktank/sharktank/evaluate/perplexity_vmfb.py b/sharktank/sharktank/evaluate/perplexity_vmfb.py index 75cf5ca63..92313b32d 100644 --- a/sharktank/sharktank/evaluate/perplexity_vmfb.py +++ b/sharktank/sharktank/evaluate/perplexity_vmfb.py @@ -32,6 +32,7 @@ from sharktank.utils.vmfb_runner import * from sharktank.utils.load_llm import * from sharktank.utils.create_cache import * +from sharktank.utils.export_artifacts import * log_levels = { "info": logging.INFO, @@ -58,14 +59,24 @@ class Perplexity: """ def __init__( - self, torch_device, iree_device, kv_cache_type, tensor_parallelism_size + self, + torch_device, + iree_device, + iree_hip_target, + iree_hal_target_backends, + kv_cache_type, + tensor_parallelism_size, + attention_kernel, ): self.torch_device = torch_device self.iree_device = iree_device + self.iree_hip_target = iree_hip_target + self.iree_hal_target_backends = iree_hal_target_backends self.kv_cache_type = kv_cache_type self.activation_dtype = torch.float32 self.attention_dtype = torch.float32 self.tensor_parallelism_size = tensor_parallelism_size + self.attention_kernel = attention_kernel def timeit(func): def wrapper(*args, **kwargs): @@ -102,6 +113,19 @@ def print_token_comparison(self, i): logger.debug(f"{expected_token}") logger.debug(f"{expected_token_id}") + @timeit + def compile_model(self, weight_path_str): + export_artifacts = ExportArtifacts( + irpa_path=weight_path_str, + batch_size=self.bs, + iree_hip_target=self.iree_hip_target, + iree_hal_target_backends=self.iree_hal_target_backends, + attention_kernel=self.attention_kernel, + tensor_parallelism_size=self.tensor_parallelism_size, + ) + vmfb_path = export_artifacts.get_artifacts() + return vmfb_path + @timeit def load_model(self, weight_path, tokenizer, vmfb_path, weight_path_str): @@ -130,6 +154,7 @@ def load_model(self, weight_path, tokenizer, vmfb_path, weight_path_str): self.generator = TorchGenerator(model, tokenizer) + self.weight_path_str = weight_path_str self.runner = vmfbRunner( device=self.iree_device, vmfb_path=vmfb_path, @@ -151,10 +176,12 @@ def get_prompts(self): s.replace("\n", "").rstrip() for s in test_prompts if s != "" and len(s.split()) >= 20 and s.count("=") < 2 - ] + ][0:4] logger.info(f" num_test_prompts: {len(test_prompts)}") + self.bs = len(test_prompts) + return test_prompts def prefill_vmfb(self, token_batch, i): @@ -253,8 +280,6 @@ def get_logits(self): (self.token_ids != 0).int().detach().clone().to(self.torch_device) ) - self.bs = len(self.test_prompts) - is_first_token = True start = 0 for i in tqdm( @@ -313,6 +338,7 @@ def compute_perplexity(self): def get_perplexity(self, test_prompts): self.test_prompts = test_prompts + self.get_logits() self.out_logits = self.out_logits[..., :-1, :].contiguous() @@ -331,25 +357,32 @@ def get_perplexity(self, test_prompts): def run_perplexity( - vmfb_path, weight_path, weight_path_str, tokenizer, torch_device, iree_device, + iree_hip_target, + iree_hal_target_backends, kv_cache_type, tensor_parallelism_size, + attention_kernel, ): perplexity = Perplexity( torch_device=torch_device, iree_device=iree_device, + iree_hip_target=iree_hip_target, + iree_hal_target_backends=iree_hal_target_backends, kv_cache_type=kv_cache_type, tensor_parallelism_size=tensor_parallelism_size, + attention_kernel=attention_kernel, ) - perplexity.load_model(weight_path, tokenizer, vmfb_path, weight_path_str) test_prompts = perplexity.get_prompts() - ppl = perplexity.get_perplexity(test_prompts=test_prompts) + + vmfb_path = perplexity.compile_model(weight_path_str) + perplexity.load_model(weight_path, tokenizer, vmfb_path, weight_path_str) + ppl = perplexity.get_perplexity(test_prompts) return ppl @@ -359,7 +392,24 @@ def main(argv): parser.add_argument("--kv-cache-type", default="paged", help="KV cache type") parser.add_argument("--torch-device", help="Torch device (or default)") parser.add_argument("--iree-device", help="List an IREE device, eg: 'hip://0'") - parser.add_argument("--vmfb-path", help="Path to vmfb file") + parser.add_argument( + "--iree-hip-target", + action="store", + default="gfx942", + help="Specify the iree-hip target version (e.g., gfx942)", + ) + parser.add_argument( + "--iree-hal-target-backends", + action="store", + default="rocm", + help="Specify the iree-hal target backends (e.g., rocm)", + ) + parser.add_argument( + "--attention-kernel", + type=str, + default="decomposed", + choices=["decomposed", "torch_sdpa"], + ) parser.add_argument( "--tensor-parallelism-size", type=int, @@ -376,19 +426,19 @@ def main(argv): kv_cache_type = args.kv_cache_type weight_path = cli.get_input_dataset(args) tokenizer = cli.get_tokenizer(args) - - vmfb_path = args.vmfb_path weight_path_str = str(args.irpa_file) ppl = run_perplexity( - vmfb_path=vmfb_path, weight_path=weight_path, weight_path_str=weight_path_str, tokenizer=tokenizer, torch_device=torch_device, iree_device=iree_device, + iree_hip_target=args.iree_hip_target, + iree_hal_target_backends=args.iree_hal_target_backends, kv_cache_type=kv_cache_type, tensor_parallelism_size=args.tensor_parallelism_size, + attention_kernel=args.attention_kernel, ) logger.info(f"\n{json.dumps(ppl, indent=2)}") diff --git a/sharktank/sharktank/utils/export_artifacts.py b/sharktank/sharktank/utils/export_artifacts.py new file mode 100644 index 000000000..e8df396e9 --- /dev/null +++ b/sharktank/sharktank/utils/export_artifacts.py @@ -0,0 +1,135 @@ +# Copyright 2024 Advanced Micro Devices, Inc +# +# Licensed under the Apache License v2.0 with LLVM Exceptions. +# See https://llvm.org/LICENSE.txt for license information. +# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception + +import os +from pathlib import Path +import subprocess +import logging + +import iree.compiler as ireec + +logger = logging.getLogger("eval") + +logger.setLevel(logging.INFO) + +logger.root.handlers[0].setFormatter( + logging.Formatter(fmt="\n%(levelname)s:%(name)-8s %(message)s") +) + + +class ExportArtifacts: + def __init__( + self, + irpa_path: str, + batch_size: int, + iree_hip_target: str, + iree_hal_target_backends: str, + attention_kernel: str, + tensor_parallelism_size: int, + ): + self.sharktank_dir = str( + Path(os.path.dirname(os.path.abspath(__file__))).parent.parent.parent + ) + self.irpa_path = irpa_path + self.batch_size = batch_size + self.iree_hip_target = iree_hip_target + self.iree_hal_target_backends = iree_hal_target_backends + self.attention_kernel = attention_kernel + self.tensor_parallelism_size = tensor_parallelism_size + + def export_to_mlir( + self, + mlir_path: str, + json_path: str, + ): + export_args = [ + "python3", + "-m", + "sharktank.examples.export_paged_llm_v1", + "--irpa-file", + str(self.irpa_path), + "--output-mlir", + mlir_path, + "--output-config", + json_path, + "--bs", + str(self.batch_size), + ] + if self.attention_kernel == "decomposed": + export_args.append("--attention-kernel") + export_args.append(self.attention_kernel) + elif self.attention_kernel == "torch_sdpa": + raise NotImplementedError("attention_kernel torch_sdpa not implemented yet") + if self.tensor_parallelism_size: + export_args.append("--tensor-parallelism-size") + export_args.append(str(self.tensor_parallelism_size)) + + cmd = subprocess.list2cmdline(export_args) + + logger.info( + f"export_args: {export_args}\n self.sharktank_dir: {self.sharktank_dir}" + ) + + cwd = self.sharktank_dir + "/sharktank" + + logger.info(f"Exporting mlir:\n" f"cd {cwd} && {cmd}") + proc = subprocess.run(cmd, shell=True, capture_output=True, cwd=cwd) + return_code = proc.returncode + if return_code != 0: + logger.error("Error exporting mlir: ", return_code) + + def compile_to_vmfb( + self, + mlir_path, + vmfb_path, + ): + compile_flags = ["--iree-hip-target=" + self.iree_hip_target] + + ireec.compile_file( + input_file=mlir_path, + target_backends=[self.iree_hal_target_backends], + extra_args=compile_flags, + output_file=vmfb_path, + ) + + def create_file(self, suffix, prefix): + file_path = Path(prefix).with_suffix(suffix) + f = open(file_path, "w") + return file_path + + def get_artifacts(self): + + self.dir_path = self.sharktank_dir + "/" + "tmp_perplexity_ci_artifacts/" + temp_dir = Path(self.dir_path) + temp_dir.mkdir(parents=True, exist_ok=True) + + model_name = ( + str(self.irpa_path).split("/")[-1].split(".")[0] + + "_" + + self.attention_kernel + ) + mlir_path = str( + self.create_file(suffix=".mlir", prefix=self.dir_path + model_name) + ) + json_path = str( + self.create_file(suffix=".json", prefix=self.dir_path + model_name) + ) + vmfb_path = str( + self.create_file(suffix=".vmfb", prefix=self.dir_path + model_name) + ) + + if self.attention_kernel == "decomposed": + self.export_to_mlir( + mlir_path=mlir_path, + json_path=json_path, + ) + + self.compile_to_vmfb( + mlir_path=mlir_path, + vmfb_path=vmfb_path, + ) + + return vmfb_path diff --git a/sharktank/tests/evaluate/baseline_perplexity_scores.json b/sharktank/tests/evaluate/baseline_perplexity_scores.json index 45515566e..fa353d136 100644 --- a/sharktank/tests/evaluate/baseline_perplexity_scores.json +++ b/sharktank/tests/evaluate/baseline_perplexity_scores.json @@ -209,5 +209,216 @@ 1.915619 ], "mean_perplexity": 6.060831 + }, + "llama3_8B_f16_decomposed_vmfb": { + "perplexities": [ + 6.677369, + 21.807926, + 15.424338, + 17.332415, + 14.951956, + 7.913092, + 8.728321, + 22.425966, + 8.184698, + 20.977249, + 7.088408, + 14.574989, + 9.036912, + 7.277581, + 16.132208, + 6.685175, + 6.525683, + 7.080791, + 10.680925, + 9.034086, + 10.639015, + 41.102894, + 11.723896, + 64.305908, + 47.054577, + 19.9259, + 18.918842, + 13.842684, + 9.974381, + 5.919641, + 10.181265, + 23.609016, + 14.340417, + 9.712208, + 5.602878, + 14.088163, + 5.680599, + 17.377926, + 9.037231, + 8.305407, + 8.028031, + 17.744528, + 11.5076, + 3.936302, + 12.987297, + 10.371798, + 11.927772, + 21.387051, + 37.799526, + 25.67762, + 15.429109, + 13.923962, + 7.594806, + 10.983875, + 14.595965, + 11.022234, + 5.853358, + 15.609065, + 8.044486, + 14.389134, + 5.917565, + 6.892455, + 2.30309, + 15.974725, + 42.017342, + 8.022307, + 12.284297, + 10.018423, + 9.268936, + 10.680118, + 8.12535, + 21.550434, + 3.638689, + 15.345065, + 23.742884, + 14.288899, + 17.796623, + 16.515446, + 8.746647, + 12.922096, + 12.94269, + 13.574061, + 14.013302, + 10.76523, + 14.746032, + 28.208134, + 17.646687, + 9.848188, + 15.280471, + 15.621455, + 29.126505, + 12.302313, + 32.452534, + 31.192411, + 14.371797, + 17.490683, + 14.689407, + 15.284843, + 12.252508, + 16.460979 + ], + "mean_perplexity": 14.930181 + }, + + "llama3_405B_f16_decomposed_vmfb": { + "perplexities": [ + 2.170036, + 8.014498, + 3.743922, + 10.629776, + 8.965701, + 2.884743, + 2.886767, + 3.853816, + 2.73785, + 15.235562, + 2.65135, + 1.970936, + 5.08259, + 2.507602, + 7.571635, + 3.005182, + 1.904492, + 3.182651, + 6.249443, + 4.661795, + 12.68933, + 35.432453, + 5.50336, + 60.950359, + 18.433432, + 5.001391, + 4.814827, + 2.99482, + 2.697508, + 2.617349, + 2.359061, + 16.697233, + 2.145065, + 2.1207, + 2.496015, + 1.822896, + 4.671626, + 2.389186, + 2.701802, + 1.921128, + 2.236057, + 4.741998, + 4.946936, + 2.758695, + 2.446043, + 2.146302, + 8.72202, + 4.180647, + 11.449497, + 13.429152, + 3.72468, + 2.407385, + 3.592854, + 5.412414, + 3.189998, + 4.186216, + 1.642744, + 2.279058, + 1.855652, + 3.453852, + 1.436223, + 1.516955, + 1.716439, + 4.715765, + 21.48657, + 2.208737, + 6.420449, + 2.001433, + 2.400955, + 3.543744, + 3.054271, + 7.904545, + 1.950376, + 3.983746, + 6.28265, + 2.64157, + 5.473378, + 3.444444, + 1.926046, + 3.092915, + 3.996159, + 3.125222, + 1.718025, + 3.856093, + 3.041075, + 11.798485, + 14.881112, + 5.631516, + 4.407883, + 4.840533, + 21.351448, + 2.065821, + 6.658993, + 28.123312, + 1.673253, + 3.729975, + 5.336116, + 8.579758, + 2.979404, + 1.915619 + ], + "mean_perplexity": 6.060831 } } diff --git a/sharktank/tests/evaluate/export_artifacts_test.py b/sharktank/tests/evaluate/export_artifacts_test.py deleted file mode 100644 index 6a8ad4ce8..000000000 --- a/sharktank/tests/evaluate/export_artifacts_test.py +++ /dev/null @@ -1,154 +0,0 @@ -# Copyright 2024 Advanced Micro Devices, Inc -# -# Licensed under the Apache License v2.0 with LLVM Exceptions. -# See https://llvm.org/LICENSE.txt for license information. -# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception - -import os -from pathlib import Path -import unittest -import pytest -import subprocess -import logging -import itertools - -import iree.compiler as ireec - -logger = logging.getLogger("eval") - -logger.setLevel(logging.INFO) - -logger.root.handlers[0].setFormatter( - logging.Formatter(fmt="\n%(levelname)s:%(name)-8s %(message)s") -) - -pytestmark = pytest.mark.usefixtures( - "get_model_artifacts", "get_iree_flags", "tensor_parallelism_size", "batch_size" -) - - -class ExportArtifacts(unittest.TestCase): - def setUp(self): - self.sharktank_dir = str( - Path(os.path.dirname(os.path.abspath(__file__))).parent.parent.parent - ) - - def export_to_mlir( - self, - attention_kernel: str, - tensor_parallelism_size: int, - irpa_path: str, - mlir_path: str, - json_path: str, - batch_size: int, - ): - export_args = [ - "python3", - "-m", - "sharktank.examples.export_paged_llm_v1", - "--irpa-file", - str(irpa_path), - "--output-mlir", - mlir_path, - "--output-config", - json_path, - "--bs", - str(batch_size), - ] - if attention_kernel == "decomposed": - export_args.append("--attention-kernel") - export_args.append(attention_kernel) - elif self.attention_kernel == "torch_sdpa": - raise NotImplementedError("attention_kernel torch_sdpa not implemented yet") - if tensor_parallelism_size: - export_args.append("--tensor-parallelism-size") - export_args.append(str(tensor_parallelism_size)) - - cmd = subprocess.list2cmdline(export_args) - - logger.info( - f"export_args: {export_args}\n self.sharktank_dir: {self.sharktank_dir}" - ) - - cwd = self.sharktank_dir + "/sharktank" - - logger.info(f"Exporting mlir:\n" f"cd {cwd} && {cmd}") - proc = subprocess.run(cmd, shell=True, capture_output=True, cwd=cwd) - return_code = proc.returncode - if return_code != 0: - logger.error("Error exporting mlir: ", return_code) - - def compile_to_vmfb( - self, - mlir_path: str, - vmfb_path: str, - iree_hip_target: str, - iree_hal_target_backends: str, - ): - compile_flags = ["--iree-hip-target=" + iree_hip_target] - - try: - ireec.compile_file( - input_file=mlir_path, - target_backends=[iree_hal_target_backends], - extra_args=compile_flags, - output_file=vmfb_path, - ) - except Exception as error: - logger.error("Error invoking iree-compile: ", error) - - def create_file(self, suffix, prefix): - file_path = Path(prefix).with_suffix(suffix) - f = open(file_path, "w") - return file_path - - def test_export(self): - - model_paths = [ - self.llama3_8b_f16_model, - self.llama3_8b_fp8_model, - self.llama3_405b_f16_model, - self.llama3_405b_fp8_model, - ] - attention_kernels = ["decomposed", "torch_sdpa"] - - self.dir_path = self.sharktank_dir + "/" + "tmp_perplexity_ci_artifacts/" - temp_dir = Path(self.dir_path) - temp_dir.mkdir(parents=True, exist_ok=True) - - for model_path, attention_kernel in list( - itertools.product(model_paths, attention_kernels) - ): - model_name = ( - str(model_path).split("/")[-1].split(".")[0] + "_" + attention_kernel - ) - mlir_path = str( - self.create_file(suffix=".mlir", prefix=self.dir_path + model_name) - ) - json_path = str( - self.create_file(suffix=".json", prefix=self.dir_path + model_name) - ) - vmfb_path = str( - self.create_file(suffix=".vmfb", prefix=self.dir_path + model_name) - ) - - if attention_kernel == "decomposed": - self.export_to_mlir( - attention_kernel=attention_kernel, - tensor_parallelism_size=self.tensor_parallelism_size, - irpa_path=model_path, - mlir_path=mlir_path, - json_path=json_path, - batch_size=self.batch_size, - ) - - self.compile_to_vmfb( - mlir_path=mlir_path, - vmfb_path=vmfb_path, - iree_hip_target=self.iree_hip_target, - iree_hal_target_backends=self.iree_hal_target_backends, - ) - - -if __name__ == "__main__": - unittest.main() diff --git a/sharktank/tests/evaluate/perplexity_vmfb_test.py b/sharktank/tests/evaluate/perplexity_vmfb_test.py index 16bfda668..d5d9daa6d 100644 --- a/sharktank/tests/evaluate/perplexity_vmfb_test.py +++ b/sharktank/tests/evaluate/perplexity_vmfb_test.py @@ -14,7 +14,10 @@ @pytest.mark.usefixtures( - "get_model_artifacts", "tensor_parallelism_size", "baseline_perplexity_scores" + "get_model_artifacts", + "get_iree_flags", + "tensor_parallelism_size", + "baseline_perplexity_scores", ) class PerplexityTest(unittest.TestCase): def setUp(self): @@ -34,10 +37,13 @@ def test_llama3_8B_f16_decomposed(self): current_perplexity = perplexity_vmfb.main( [ - f"--vmfb-path={self.llama3_8b_f16_vmfb}", f"--irpa-file={self.llama3_8b_f16_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", f"--iree-device={self.iree_device}", + f"--iree-hal-target-backends={self.iree_hal_target_backends}", + f"--iree-hip-target={self.iree_hip_target}", + f"--tensor-parallelism-size=1", + f"--attention-kernel=decomposed", ] ) @@ -66,10 +72,13 @@ def test_llama3_8B_f16_non_decomposed(self): current_perplexity = perplexity_vmfb.main( [ - f"--vmfb-path={self.llama3_8b_f16_vmfb}", f"--irpa-file={self.llama3_8b_f16_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", f"--iree-device={self.iree_device}", + f"--iree-hal-target-backends={self.iree_hal_target_backends}", + f"--iree-hip-target={self.iree_hip_target}", + f"--tensor-parallelism-size=1", + f"--attention-kernel=torch_sdpa", ] ) @@ -98,10 +107,13 @@ def test_llama3_8B_fp8_decomposed(self): current_perplexity = perplexity_vmfb.main( [ - f"--vmfb-path={self.llama3_8b_fp8_vmfb}", f"--irpa-file={self.llama3_8b_fp8_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", f"--iree-device={self.iree_device}", + f"--iree-hal-target-backends={self.iree_hal_target_backends}", + f"--iree-hip-target={self.iree_hip_target}", + f"--tensor-parallelism-size=1", + f"--attention-kernel=decomposed", ] ) @@ -130,10 +142,13 @@ def test_llama3_8B_fp8_non_decomposed(self): current_perplexity = perplexity_vmfb.main( [ - f"--vmfb-path={self.llama3_8b_fp8_vmfb}", f"--irpa-file={self.llama3_8b_fp8_model}", f"--tokenizer-config-json={self.llama3_8b_tokenizer}", f"--iree-device={self.iree_device}", + f"--iree-hal-target-backends={self.iree_hal_target_backends}", + f"--iree-hip-target={self.iree_hip_target}", + f"--tensor-parallelism-size=1", + f"--attention-kernel=torch_sdpa", ] ) @@ -159,11 +174,13 @@ def test_llama3_405B_f16_decomposed(self): current_perplexity = perplexity_vmfb.main( [ - f"--vmfb-path={self.llama3_405b_f16_vmfb}", f"--irpa-file={self.llama3_405b_f16_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", f"--iree-device={self.iree_device}", + f"--iree-hal-target-backends={self.iree_hal_target_backends}", + f"--iree-hip-target={self.iree_hip_target}", f"--tensor-parallelism-size={self.tensor_parallelism_size}", + f"--attention-kernel=decomposed", ] ) @@ -192,11 +209,13 @@ def test_llama3_405B_f16_non_decomposed(self): current_perplexity = perplexity_vmfb.main( [ - f"--vmfb-path={self.llama3_405b_f16_vmfb}", f"--irpa-file={self.llama3_405b_f16_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", f"--iree-device={self.iree_device}", + f"--iree-hal-target-backends={self.iree_hal_target_backends}", + f"--iree-hip-target={self.iree_hip_target}", f"--tensor-parallelism-size={self.tensor_parallelism_size}", + f"--attention-kernel=torch_sdpa", ] ) @@ -225,11 +244,13 @@ def test_llama3_405B_fp8_decomposed(self): current_perplexity = perplexity_vmfb.main( [ - f"--vmfb-path={self.llama3_405b_fp8_vmfb}", f"--irpa-file={self.llama3_405b_fp8_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", f"--iree-device={self.iree_device}", + f"--iree-hal-target-backends={self.iree_hal_target_backends}", + f"--iree-hip-target={self.iree_hip_target}", f"--tensor-parallelism-size={self.tensor_parallelism_size}", + f"--attention-kernel=decomposed", ] ) @@ -258,11 +279,13 @@ def test_llama3_405B_fp8_non_decomposed(self): current_perplexity = perplexity_vmfb.main( [ - f"--vmfb-path={self.llama3_405b_fp8_vmfb}", f"--irpa-file={self.llama3_405b_fp8_model}", f"--tokenizer-config-json={self.llama3_405b_tokenizer}", f"--iree-device={self.iree_device}", - "--tensor-parallelism-size={self.tensor_parallelism_size}", + f"--iree-hal-target-backends={self.iree_hal_target_backends}", + f"--iree-hip-target={self.iree_hip_target}", + f"--tensor-parallelism-size={self.tensor_parallelism_size}", + f"--attention-kernel=torch_sdpa", ] ) From cf6ee83bbd8512447c7c7e198720113bc288ccc2 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Fri, 25 Oct 2024 03:46:21 -0500 Subject: [PATCH 22/51] Add log messages --- sharktank/sharktank/utils/export_artifacts.py | 21 ++++++++++++------- 1 file changed, 14 insertions(+), 7 deletions(-) diff --git a/sharktank/sharktank/utils/export_artifacts.py b/sharktank/sharktank/utils/export_artifacts.py index e8df396e9..ca3adc42d 100644 --- a/sharktank/sharktank/utils/export_artifacts.py +++ b/sharktank/sharktank/utils/export_artifacts.py @@ -75,11 +75,13 @@ def export_to_mlir( cwd = self.sharktank_dir + "/sharktank" - logger.info(f"Exporting mlir:\n" f"cd {cwd} && {cmd}") + logger.debug(f"Exporting mlir:\n" f"cd {cwd} && {cmd}") proc = subprocess.run(cmd, shell=True, capture_output=True, cwd=cwd) return_code = proc.returncode if return_code != 0: logger.error("Error exporting mlir: ", return_code) + else: + logger.info(f"Exported to mlir successfully: {mlir_path}!") def compile_to_vmfb( self, @@ -88,12 +90,17 @@ def compile_to_vmfb( ): compile_flags = ["--iree-hip-target=" + self.iree_hip_target] - ireec.compile_file( - input_file=mlir_path, - target_backends=[self.iree_hal_target_backends], - extra_args=compile_flags, - output_file=vmfb_path, - ) + try: + ireec.compile_file( + input_file=mlir_path, + target_backends=[self.iree_hal_target_backends], + extra_args=compile_flags, + output_file=vmfb_path, + ) + except Exception as error: + logger.error("Error running iree-compile: ", error) + + logger.info(f"Compiled to vmfb successfully: {vmfb_path}") def create_file(self, suffix, prefix): file_path = Path(prefix).with_suffix(suffix) From 9dbc07a372b732b84ff656039ca51e62d6cb6255 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Fri, 25 Oct 2024 03:50:12 -0500 Subject: [PATCH 23/51] Add log messages --- sharktank/sharktank/utils/export_artifacts.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sharktank/sharktank/utils/export_artifacts.py b/sharktank/sharktank/utils/export_artifacts.py index ca3adc42d..f466c6449 100644 --- a/sharktank/sharktank/utils/export_artifacts.py +++ b/sharktank/sharktank/utils/export_artifacts.py @@ -81,7 +81,7 @@ def export_to_mlir( if return_code != 0: logger.error("Error exporting mlir: ", return_code) else: - logger.info(f"Exported to mlir successfully: {mlir_path}!") + logger.info(f"Exported to mlir successfully: {mlir_path}") def compile_to_vmfb( self, From f5c4fef1e3c3379cd93cce4e58cb00b846b01f16 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Fri, 25 Oct 2024 04:22:02 -0500 Subject: [PATCH 24/51] Update vmfb runner module name dynamically --- sharktank/sharktank/evaluate/perplexity_vmfb.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/sharktank/sharktank/evaluate/perplexity_vmfb.py b/sharktank/sharktank/evaluate/perplexity_vmfb.py index 92313b32d..f1900e6e3 100644 --- a/sharktank/sharktank/evaluate/perplexity_vmfb.py +++ b/sharktank/sharktank/evaluate/perplexity_vmfb.py @@ -176,7 +176,7 @@ def get_prompts(self): s.replace("\n", "").rstrip() for s in test_prompts if s != "" and len(s.split()) >= 20 and s.count("=") < 2 - ][0:4] + ] logger.info(f" num_test_prompts: {len(test_prompts)}") @@ -208,7 +208,7 @@ def prefill_vmfb(self, token_batch, i): ) seq_block_ids = self.batch.pad_block_ids() - prefill_logits = self.runner.ctx.modules.module.prefill_bs4( + prefill_logits = self.runner.ctx.modules.module[f"prefill_bs{self.bs}"]( token_batch, self.seq_lens_batch, seq_block_ids, @@ -239,7 +239,7 @@ def decode_vmfb(self, token_batch, i): self.batch.allocate_seq_block_ids() seq_block_ids = self.batch.pad_block_ids() - decode_logits = self.runner.ctx.modules.module.decode_bs4( + decode_logits = self.runner.ctx.modules.module[f"decode_bs{self.bs}"]( token_batch, self.seq_lens_batch, start_positions, From 3a9105142b7701c25beb7b73d02f8ad5bb085103 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Fri, 25 Oct 2024 11:16:46 -0500 Subject: [PATCH 25/51] Update llallama3_8B_f16_decomposed_vmfb perplexities --- .../evaluate/baseline_perplexity_scores.json | 202 +++++++++--------- 1 file changed, 101 insertions(+), 101 deletions(-) diff --git a/sharktank/tests/evaluate/baseline_perplexity_scores.json b/sharktank/tests/evaluate/baseline_perplexity_scores.json index fa353d136..b613809ed 100644 --- a/sharktank/tests/evaluate/baseline_perplexity_scores.json +++ b/sharktank/tests/evaluate/baseline_perplexity_scores.json @@ -212,108 +212,108 @@ }, "llama3_8B_f16_decomposed_vmfb": { "perplexities": [ - 6.677369, - 21.807926, - 15.424338, - 17.332415, - 14.951956, - 7.913092, - 8.728321, - 22.425966, - 8.184698, - 20.977249, - 7.088408, - 14.574989, - 9.036912, - 7.277581, - 16.132208, - 6.685175, - 6.525683, - 7.080791, - 10.680925, - 9.034086, - 10.639015, - 41.102894, - 11.723896, - 64.305908, - 47.054577, - 19.9259, - 18.918842, - 13.842684, - 9.974381, - 5.919641, - 10.181265, - 23.609016, - 14.340417, - 9.712208, - 5.602878, - 14.088163, - 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+ 10188.37793, + 5519.487305, + 10712.731445, + 4132.742188, + 12887.806641, + 6262.628906, + 17117.361328, + 10427.929688, + 42412.0, + 21811.390625, + 6171.995605, + 17588.886719, + 6537.535156, + 8773.981445, + 14319.901367, + 35847.394531, + 10555.681641, + 5562.47998, + 8986.163086, + 6192.861328, + 13730.34668, + 10742.932617, + 12502.827148 ], - "mean_perplexity": 14.930181 + "mean_perplexity": 12545.168862 }, "llama3_405B_f16_decomposed_vmfb": { From 006c5d4a2e2d78f3264044bb00561cb555e5e6a9 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Fri, 25 Oct 2024 15:36:33 -0500 Subject: [PATCH 26/51] Move CI to mi300x-3 --- .github/workflows/ci_eval.yaml | 2 +- sharktank/conftest.py | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 27b6c94e6..5ac553052 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -22,7 +22,7 @@ jobs: strategy: matrix: version: [3.11] - runs-on: [llama-mi300] + runs-on: [llama-mi300x-3] fail-fast: false runs-on: ${{matrix.runs-on}} defaults: diff --git a/sharktank/conftest.py b/sharktank/conftest.py index 026424693..f9ba99b2f 100644 --- a/sharktank/conftest.py +++ b/sharktank/conftest.py @@ -76,7 +76,7 @@ def pytest_addoption(parser): "--llama3-8b-tokenizer-path", type=Path, action="store", - default="/data/extra/models/llama3.1_8B/tokenizer_config.json", + default="/data/llama-3.1/8b/tokenizer_config.json", help="Llama3.1 8b tokenizer path, defaults to 30F CI system path", ) @@ -92,7 +92,7 @@ def pytest_addoption(parser): "--llama3-8b-f16-model-path", type=Path, action="store", - default="/data/extra/models/llama3.1_8B/llama8b_f16.irpa", + default="/data/llama-3.1/8b/llama8b_f16.irpa", help="Llama3.1 8b model path, defaults to 30F CI system path", ) @@ -132,7 +132,7 @@ def pytest_addoption(parser): "--llama3-405b-tokenizer-path", type=Path, action="store", - default="/data/extra/models/llama3.1_405B/tokenizer_config.json", + default="/data/llama-3.1/405b/tokenizer_config.json", help="Llama3.1 405b tokenizer path, defaults to 30F CI system path", ) @@ -148,7 +148,7 @@ def pytest_addoption(parser): "--llama3-405b-f16-model-path", type=Path, action="store", - default="/data/extra/models/llama3.1_405B/llama405b_fp16.irpa", + default="/data/llama-3.1/405b/llama405b_fp16.irpa", help="Llama3.1 405b model path, defaults to 30F CI system path", ) From 7fe9594f9e0ef8eda2c34e47c43f5a71e4df43d0 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Fri, 25 Oct 2024 19:03:02 -0500 Subject: [PATCH 27/51] Address review comments --- .github/workflows/ci_eval.yaml | 4 ++-- sharktank/conftest.py | 1 + 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 5ac553052..e20cbe050 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -60,7 +60,7 @@ jobs: pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - name: Run perplexity test with vmfb - run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun + run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun # test_perplexity_torch: # timeout-minutes: 1000 @@ -106,4 +106,4 @@ jobs: # pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ # - name: Run perplexity test in eager mode - # run: pytest -n 4 -v -s sharktank/tests/evaluate/perplexity_torch_test.py --longrun + # run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_torch_test.py --longrun diff --git a/sharktank/conftest.py b/sharktank/conftest.py index f9ba99b2f..b7415b427 100644 --- a/sharktank/conftest.py +++ b/sharktank/conftest.py @@ -72,6 +72,7 @@ def pytest_addoption(parser): help="Enable long and slow tests", ) + # TODO: Remove all hardcoded paths in CI tests parser.addoption( "--llama3-8b-tokenizer-path", type=Path, From 03baccbd5d87b28ad4d39fb981227727a68e3836 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Fri, 25 Oct 2024 19:04:11 -0500 Subject: [PATCH 28/51] Revert debug to info logging --- sharktank/sharktank/utils/export_artifacts.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sharktank/sharktank/utils/export_artifacts.py b/sharktank/sharktank/utils/export_artifacts.py index f466c6449..6e603ae1c 100644 --- a/sharktank/sharktank/utils/export_artifacts.py +++ b/sharktank/sharktank/utils/export_artifacts.py @@ -75,7 +75,7 @@ def export_to_mlir( cwd = self.sharktank_dir + "/sharktank" - logger.debug(f"Exporting mlir:\n" f"cd {cwd} && {cmd}") + logger.info(f"Exporting mlir:\n" f"cd {cwd} && {cmd}") proc = subprocess.run(cmd, shell=True, capture_output=True, cwd=cwd) return_code = proc.returncode if return_code != 0: From 52a6fc1999d04225bcd2771553a950e29a47ff1c Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Fri, 25 Oct 2024 19:14:48 -0500 Subject: [PATCH 29/51] Test --- .github/workflows/ci_eval.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index e20cbe050..492628dcb 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -58,7 +58,10 @@ jobs: pip install --no-compile -f https://iree.dev/pip-release-links.html --src deps \ -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - + - name: test1 + run: cd /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank && python3 -m sharktank.examples.export_paged_llm_v1 --irpa-file /data/llama-3.1/8b/llama8b_f16.irpa --output-mlir /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.mlir --output-config /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.json --bs 100 --attention-kernel decomposed --tensor-parallelism-size 1 + - name: test2 + run: cd /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform && python3 -m sharktank.examples.export_paged_llm_v1 --irpa-file /data/llama-3.1/8b/llama8b_f16.irpa --output-mlir /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.mlir --output-config /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.json --bs 100 --attention-kernel decomposed --tensor-parallelism-size 1 - name: Run perplexity test with vmfb run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun From d1ed9a2e294ebd74605e69c8693b272bbb081393 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Fri, 25 Oct 2024 19:33:04 -0500 Subject: [PATCH 30/51] Update export mlir to remove tensor_parallelism_size arg --- .github/workflows/ci_eval.yaml | 4 +--- sharktank/sharktank/utils/export_artifacts.py | 6 +++--- 2 files changed, 4 insertions(+), 6 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 492628dcb..994cbdbe1 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -59,9 +59,7 @@ jobs: -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - name: test1 - run: cd /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank && python3 -m sharktank.examples.export_paged_llm_v1 --irpa-file /data/llama-3.1/8b/llama8b_f16.irpa --output-mlir /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.mlir --output-config /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.json --bs 100 --attention-kernel decomposed --tensor-parallelism-size 1 - - name: test2 - run: cd /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform && python3 -m sharktank.examples.export_paged_llm_v1 --irpa-file /data/llama-3.1/8b/llama8b_f16.irpa --output-mlir /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.mlir --output-config /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.json --bs 100 --attention-kernel decomposed --tensor-parallelism-size 1 + run: cd /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank && python3 -m sharktank.examples.export_paged_llm_v1 --irpa-file /data/llama-3.1/8b/llama8b_f16.irpa --output-mlir /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.mlir --output-config /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.json --bs 100 --attention-kernel decomposed - name: Run perplexity test with vmfb run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun diff --git a/sharktank/sharktank/utils/export_artifacts.py b/sharktank/sharktank/utils/export_artifacts.py index 6e603ae1c..7d54c1e86 100644 --- a/sharktank/sharktank/utils/export_artifacts.py +++ b/sharktank/sharktank/utils/export_artifacts.py @@ -63,9 +63,9 @@ def export_to_mlir( export_args.append(self.attention_kernel) elif self.attention_kernel == "torch_sdpa": raise NotImplementedError("attention_kernel torch_sdpa not implemented yet") - if self.tensor_parallelism_size: - export_args.append("--tensor-parallelism-size") - export_args.append(str(self.tensor_parallelism_size)) + # if self.tensor_parallelism_size: + # export_args.append("--tensor-parallelism-size") + # export_args.append(str(self.tensor_parallelism_size)) cmd = subprocess.list2cmdline(export_args) From 1876f54b6c5d88781790158700bf46a915fbbe80 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Fri, 25 Oct 2024 19:38:02 -0500 Subject: [PATCH 31/51] Make non_decomposed version the default --- .../tests/evaluate/perplexity_torch_test.py | 16 ++++++++-------- sharktank/tests/evaluate/perplexity_vmfb_test.py | 16 ++++++++-------- 2 files changed, 16 insertions(+), 16 deletions(-) diff --git a/sharktank/tests/evaluate/perplexity_torch_test.py b/sharktank/tests/evaluate/perplexity_torch_test.py index 54af77a9e..b2b098ae7 100644 --- a/sharktank/tests/evaluate/perplexity_torch_test.py +++ b/sharktank/tests/evaluate/perplexity_torch_test.py @@ -55,11 +55,11 @@ def test_llama3_8B_f16_decomposed(self): reason="Non-decomposed attention is not supported yet", ) @longrun - def test_llama3_8B_f16_non_decomposed(self): + def test_llama3_8B_f16(self): # Llama 3.1 8B non-decomposed - model_name = "llama3_8B_f16_non_decomposed" + model_name = "llama3_8B_f16" baseline_perplexity = self.baseline_perplexity[model_name] current_perplexity = perplexity_torch.main( @@ -116,11 +116,11 @@ def test_llama3_8B_fp8_decomposed(self): reason="Non-decomposed attention is not supported yet", ) @longrun - def test_llama3_8B_fp8_non_decomposed(self): + def test_llama3_8B_fp8(self): # Llama 3.1 8B non-decomposed - model_name = "llama3_8B_fp8_non_decomposed" + model_name = "llama3_8B_fp8" baseline_perplexity = self.baseline_perplexity[model_name] current_perplexity = perplexity_torch.main( @@ -175,11 +175,11 @@ def test_llama3_405B_f16_decomposed(self): reason="Non-decomposed attention is not supported yet", ) @longrun - def test_llama3_405B_f16_non_decomposed(self): + def test_llama3_405B_f16(self): # Llama 3.1 405B non-decomposed - model_name = "llama3_405B_f16_non_decomposed" + model_name = "llama3_405B_f16" baseline_perplexity = self.baseline_perplexity[model_name] current_perplexity = perplexity_torch.main( @@ -238,11 +238,11 @@ def test_llama3_405B_fp8_decomposed(self): reason="Non-decomposed attention is not supported yet", ) @longrun - def test_llama3_405B_fp8_non_decomposed(self): + def test_llama3_405B_fp8(self): # Llama 3.1 405B non-decomposed - model_name = "llama3_405B_fp8_non_decomposed" + model_name = "llama3_405B_fp8" baseline_perplexity = self.baseline_perplexity[model_name] current_perplexity = perplexity_torch.main( diff --git a/sharktank/tests/evaluate/perplexity_vmfb_test.py b/sharktank/tests/evaluate/perplexity_vmfb_test.py index d5d9daa6d..6ad187d21 100644 --- a/sharktank/tests/evaluate/perplexity_vmfb_test.py +++ b/sharktank/tests/evaluate/perplexity_vmfb_test.py @@ -63,11 +63,11 @@ def test_llama3_8B_f16_decomposed(self): reason="Non-decomposed attention is not supported yet", ) @longrun - def test_llama3_8B_f16_non_decomposed(self): + def test_llama3_8B_f16(self): # Llama 3.1 8B non-decomposed - model_name = "llama3_8B_f16_non_decomposed_vmfb" + model_name = "llama3_8B_f16_vmfb" baseline_perplexity = self.baseline_perplexity[model_name] current_perplexity = perplexity_vmfb.main( @@ -133,11 +133,11 @@ def test_llama3_8B_fp8_decomposed(self): reason="Non-decomposed attention is not supported yet", ) @longrun - def test_llama3_8B_fp8_non_decomposed(self): + def test_llama3_8B_fp8(self): # Llama 3.1 8B non-decomposed - model_name = "llama3_8B_fp8_non_decomposed_vmfb" + model_name = "llama3_8B_fp8_vmfb" baseline_perplexity = self.baseline_perplexity[model_name] current_perplexity = perplexity_vmfb.main( @@ -200,11 +200,11 @@ def test_llama3_405B_f16_decomposed(self): reason="Non-decomposed attention is not supported yet", ) @longrun - def test_llama3_405B_f16_non_decomposed(self): + def test_llama3_405B_f16(self): # Llama 3.1 405B non-decomposed - model_name = "llama3_405B_f16_non_decomposed_vmfb" + model_name = "llama3_405B_f16_vmfb" baseline_perplexity = self.baseline_perplexity[model_name] current_perplexity = perplexity_vmfb.main( @@ -270,11 +270,11 @@ def test_llama3_405B_fp8_decomposed(self): reason="Non-decomposed attention is not supported yet", ) @longrun - def test_llama3_405B_fp8_non_decomposed(self): + def test_llama3_405B_fp8(self): # Llama 3.1 405B non-decomposed - model_name = "llama3_405B_fp8_non_decomposed_vmfb" + model_name = "llama3_405B_fp8_vmfb" baseline_perplexity = self.baseline_perplexity[model_name] current_perplexity = perplexity_vmfb.main( From 563f72e94d4714097773b2d4b4986277147f91ec Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Sat, 26 Oct 2024 00:31:32 -0500 Subject: [PATCH 32/51] Fix export cmd string parsing issues --- .../sharktank/evaluate/perplexity_vmfb.py | 20 ++++--- sharktank/sharktank/utils/export_artifacts.py | 55 ++++++++++++------- 2 files changed, 48 insertions(+), 27 deletions(-) diff --git a/sharktank/sharktank/evaluate/perplexity_vmfb.py b/sharktank/sharktank/evaluate/perplexity_vmfb.py index f1900e6e3..fedf7c1c9 100644 --- a/sharktank/sharktank/evaluate/perplexity_vmfb.py +++ b/sharktank/sharktank/evaluate/perplexity_vmfb.py @@ -91,7 +91,9 @@ def wrapper(*args, **kwargs): func_name = func.__name__ if func_name == "get_perplexity": - func_name = "Total time" + func_name = f"Total time to calculate perplexity" + elif func_name == "compile_model": + func_name = f"Total time to export and compile" logger.info(f" {func_name}: {time_taken}") return result @@ -115,8 +117,12 @@ def print_token_comparison(self, i): @timeit def compile_model(self, weight_path_str): + self.weight_path_str = weight_path_str + + logger.info(f"Compiling: {self.weight_path_str}") + export_artifacts = ExportArtifacts( - irpa_path=weight_path_str, + irpa_path=self.weight_path_str, batch_size=self.bs, iree_hip_target=self.iree_hip_target, iree_hal_target_backends=self.iree_hal_target_backends, @@ -127,7 +133,7 @@ def compile_model(self, weight_path_str): return vmfb_path @timeit - def load_model(self, weight_path, tokenizer, vmfb_path, weight_path_str): + def load_model(self, weight_path, tokenizer, vmfb_path): config = LlamaModelConfig( hp=configs.LlamaHParams.from_gguf_props(weight_path.properties), @@ -154,11 +160,10 @@ def load_model(self, weight_path, tokenizer, vmfb_path, weight_path_str): self.generator = TorchGenerator(model, tokenizer) - self.weight_path_str = weight_path_str self.runner = vmfbRunner( device=self.iree_device, vmfb_path=vmfb_path, - external_weight_path=weight_path_str, + external_weight_path=self.weight_path_str, ) @timeit @@ -178,8 +183,6 @@ def get_prompts(self): if s != "" and len(s.split()) >= 20 and s.count("=") < 2 ] - logger.info(f" num_test_prompts: {len(test_prompts)}") - self.bs = len(test_prompts) return test_prompts @@ -379,9 +382,10 @@ def run_perplexity( ) test_prompts = perplexity.get_prompts() + logger.info(f" Total test prompts: {len(test_prompts)}") vmfb_path = perplexity.compile_model(weight_path_str) - perplexity.load_model(weight_path, tokenizer, vmfb_path, weight_path_str) + perplexity.load_model(weight_path, tokenizer, vmfb_path) ppl = perplexity.get_perplexity(test_prompts) return ppl diff --git a/sharktank/sharktank/utils/export_artifacts.py b/sharktank/sharktank/utils/export_artifacts.py index 7d54c1e86..5d9c6d205 100644 --- a/sharktank/sharktank/utils/export_artifacts.py +++ b/sharktank/sharktank/utils/export_artifacts.py @@ -5,9 +5,11 @@ # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception import os -from pathlib import Path import subprocess import logging +import time +from pathlib import Path +from datetime import timedelta import iree.compiler as ireec @@ -40,6 +42,24 @@ def __init__( self.attention_kernel = attention_kernel self.tensor_parallelism_size = tensor_parallelism_size + def timeit(func): + def wrapper(*args, **kwargs): + start = time.time() + result = func(*args, **kwargs) + end = time.time() + seconds = end - start + time_taken = abs(timedelta(seconds=round(seconds))) + + if seconds < 1: + time_taken = f" {seconds * 1000} ms" + + func_name = func.__name__ + logger.info(f" {func_name}: {time_taken}") + return result + + return wrapper + + @timeit def export_to_mlir( self, mlir_path: str, @@ -50,7 +70,7 @@ def export_to_mlir( "-m", "sharktank.examples.export_paged_llm_v1", "--irpa-file", - str(self.irpa_path), + self.irpa_path, "--output-mlir", mlir_path, "--output-config", @@ -63,31 +83,28 @@ def export_to_mlir( export_args.append(self.attention_kernel) elif self.attention_kernel == "torch_sdpa": raise NotImplementedError("attention_kernel torch_sdpa not implemented yet") - # if self.tensor_parallelism_size: - # export_args.append("--tensor-parallelism-size") - # export_args.append(str(self.tensor_parallelism_size)) + cwd = self.sharktank_dir cmd = subprocess.list2cmdline(export_args) - logger.info( - f"export_args: {export_args}\n self.sharktank_dir: {self.sharktank_dir}" - ) - - cwd = self.sharktank_dir + "/sharktank" - logger.info(f"Exporting mlir:\n" f"cd {cwd} && {cmd}") - proc = subprocess.run(cmd, shell=True, capture_output=True, cwd=cwd) - return_code = proc.returncode - if return_code != 0: - logger.error("Error exporting mlir: ", return_code) + + proc = subprocess.run(export_args, capture_output=True, cwd=cwd, text=True) + if proc.returncode != 0: + logger.error( + f"Error exporting mlir with export_paged_llm_v1.py\n" + f"{proc.stdout+proc.stderr}" + ) else: - logger.info(f"Exported to mlir successfully: {mlir_path}") + logger.info(f"Exported to mlir successfully:\n" f"{proc.stdout}") + @timeit def compile_to_vmfb( self, mlir_path, vmfb_path, ): + # TODO: Control flag to enable multiple backends compile_flags = ["--iree-hip-target=" + self.iree_hip_target] try: @@ -98,9 +115,9 @@ def compile_to_vmfb( output_file=vmfb_path, ) except Exception as error: - logger.error("Error running iree-compile: ", error) - - logger.info(f"Compiled to vmfb successfully: {vmfb_path}") + logger.error(f"Error running iree-compile:\n" f"{error}") + else: + logger.info(f"Compiled to vmfb successfully:\n" f"{vmfb_path}") def create_file(self, suffix, prefix): file_path = Path(prefix).with_suffix(suffix) From 4607fb2f706234f01852c76d66b917ea75c53eed Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Sat, 26 Oct 2024 00:35:57 -0500 Subject: [PATCH 33/51] Upgrade to latest iree to resolve dynamo error --- .github/workflows/ci_eval.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 994cbdbe1..ebda57661 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -58,6 +58,14 @@ jobs: pip install --no-compile -f https://iree.dev/pip-release-links.html --src deps \ -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ + + # Try with the latest nightly releases, not what iree-turbine pins. + # We could also pin to a known working or stable version. + # This should eventually stabilize. Do the best we can for now. + pip install -f https://iree.dev/pip-release-links.html --upgrade \ + iree-compiler \ + iree-runtime \ + "numpy<2.0" - name: test1 run: cd /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank && python3 -m sharktank.examples.export_paged_llm_v1 --irpa-file /data/llama-3.1/8b/llama8b_f16.irpa --output-mlir /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.mlir --output-config /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.json --bs 100 --attention-kernel decomposed - name: Run perplexity test with vmfb From 19e29d9bdbbd9bd1c34abf88fe650de31b37111d Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 03:04:35 -0500 Subject: [PATCH 34/51] Add error handling if mlir export fails --- sharktank/sharktank/utils/export_artifacts.py | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/sharktank/sharktank/utils/export_artifacts.py b/sharktank/sharktank/utils/export_artifacts.py index 5d9c6d205..b7e7bb2d4 100644 --- a/sharktank/sharktank/utils/export_artifacts.py +++ b/sharktank/sharktank/utils/export_artifacts.py @@ -98,6 +98,8 @@ def export_to_mlir( else: logger.info(f"Exported to mlir successfully:\n" f"{proc.stdout}") + return proc.returncode + @timeit def compile_to_vmfb( self, @@ -146,14 +148,15 @@ def get_artifacts(self): ) if self.attention_kernel == "decomposed": - self.export_to_mlir( + returncode = self.export_to_mlir( mlir_path=mlir_path, json_path=json_path, ) - self.compile_to_vmfb( - mlir_path=mlir_path, - vmfb_path=vmfb_path, - ) + if returncode == 0: + self.compile_to_vmfb( + mlir_path=mlir_path, + vmfb_path=vmfb_path, + ) return vmfb_path From 493feeb15028e476ecd2a820e10b43bf4dc02c9f Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 03:04:52 -0500 Subject: [PATCH 35/51] Update perplexity scores --- .../evaluate/baseline_perplexity_scores.json | 202 +++++++++--------- 1 file changed, 101 insertions(+), 101 deletions(-) diff --git a/sharktank/tests/evaluate/baseline_perplexity_scores.json b/sharktank/tests/evaluate/baseline_perplexity_scores.json index b613809ed..e824be52c 100644 --- a/sharktank/tests/evaluate/baseline_perplexity_scores.json +++ b/sharktank/tests/evaluate/baseline_perplexity_scores.json @@ -212,108 +212,108 @@ }, "llama3_8B_f16_decomposed_vmfb": { "perplexities": [ - 21394.824219, - 21544.3125, - 14821.359375, - 16374.799805, - 8942.28125, - 9946.700195, - 16440.865234, - 10721.15332, - 9675.765625, - 14437.389648, - 27061.357422, - 8576.095703, - 22894.248047, - 8205.601562, - 4902.503906, - 14098.294922, - 11953.639648, - 9046.456055, - 7345.877441, - 14587.374023, - 20542.126953, - 14990.035156, - 15217.208984, - 22458.199219, - 17894.568359, - 11072.371094, - 11668.830078, - 11384.431641, - 7894.328125, - 7638.759277, - 10262.393555, - 16722.433594, - 5746.149902, - 7049.083984, - 7314.810547, - 7159.469238, - 8198.553711, - 5917.909668, - 12120.987305, - 13357.332031, - 6877.470215, - 7771.493164, - 13632.90625, - 7473.57959, - 8513.025391, - 5848.255371, - 21835.617188, - 13271.357422, - 45267.539062, - 13817.6875, - 14733.533203, - 14010.263672, - 27900.892578, - 8016.948242, - 6842.378418, - 10149.141602, - 7411.538574, - 17125.933594, - 4876.651855, - 8817.567383, - 13022.648438, - 10516.925781, - 6493.474609, - 6885.805176, - 13201.474609, - 9690.910156, - 2992.262695, - 12565.056641, - 13803.712891, - 12151.033203, - 10440.636719, - 16468.451172, - 13720.111328, - 9114.548828, - 14827.0, - 11495.735352, - 6366.992676, - 10188.37793, - 5519.487305, - 10712.731445, - 4132.742188, - 12887.806641, - 6262.628906, - 17117.361328, - 10427.929688, - 42412.0, - 21811.390625, - 6171.995605, - 17588.886719, - 6537.535156, - 8773.981445, - 14319.901367, - 35847.394531, - 10555.681641, - 5562.47998, - 8986.163086, - 6192.861328, - 13730.34668, - 10742.932617, - 12502.827148 + 21419.466797, + 21546.818359, + 14827.014648, + 16375.65918, + 8945.300781, + 9944.508789, + 16438.810547, + 10728.957031, + 9669.796875, + 14450.475586, + 27094.927734, + 8578.132812, + 22942.267578, + 8198.905273, + 4902.405762, + 14073.242188, + 11952.408203, + 9045.265625, + 7347.615234, + 14579.709961, + 20511.626953, + 15005.15332, + 15205.226562, + 22462.205078, + 17937.900391, + 11057.017578, + 11663.111328, + 11390.241211, + 7898.138672, + 7637.557129, + 10265.848633, + 16729.228516, + 5744.851074, + 7046.032227, + 7316.122559, + 7153.626953, + 8192.285156, + 5918.197266, + 12119.681641, + 13367.679688, + 6873.890137, + 7742.501953, + 13619.378906, + 7469.197754, + 8517.003906, + 5852.495605, + 21839.90625, + 13266.838867, + 45137.652344, + 13815.619141, + 14725.118164, + 14006.322266, + 27869.220703, + 8008.710449, + 6843.859863, + 10156.393555, + 7417.569824, + 17133.203125, + 4873.34668, + 8810.631836, + 13012.022461, + 10515.050781, + 6490.756348, + 6884.498535, + 13199.611328, + 9676.604492, + 2992.313965, + 12557.617188, + 13808.018555, + 12141.337891, + 10426.229492, + 16427.511719, + 13736.017578, + 9114.052734, + 14844.96875, + 11502.46875, + 6369.100098, + 10188.533203, + 5520.150391, + 10693.388672, + 4136.566895, + 12878.518555, + 6268.281738, + 17126.113281, + 10425.692383, + 42463.15625, + 21795.568359, + 6170.659668, + 17573.275391, + 6537.691406, + 8774.048828, + 14328.767578, + 35863.398438, + 10549.089844, + 5560.846191, + 8987.045898, + 6189.242188, + 13732.914062, + 10735.333984, + 12495.99707 ], - "mean_perplexity": 12545.168862 + "mean_perplexity": 12543.547432 }, "llama3_405B_f16_decomposed_vmfb": { From b65c8825d3e0a2fa43db350a560e42c973f42eaf Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 12:56:30 -0500 Subject: [PATCH 36/51] test benchmark export --- .github/workflows/ci_eval.yaml | 3 +++ sharktank/tests/models/llama/benchmark_amdgpu_tests.py | 6 +++--- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index ebda57661..d70af3004 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -66,6 +66,9 @@ jobs: iree-compiler \ iree-runtime \ "numpy<2.0" + + - name: test benchmark + run: pytest sharktank/tests/models/llama/benchmark_amdgpu_tests.py -v -s --longrun -k 'testBenchmark8B_f16_Decomposed' - name: test1 run: cd /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank && python3 -m sharktank.examples.export_paged_llm_v1 --irpa-file /data/llama-3.1/8b/llama8b_f16.irpa --output-mlir /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.mlir --output-config /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.json --bs 100 --attention-kernel decomposed - name: Run perplexity test with vmfb diff --git a/sharktank/tests/models/llama/benchmark_amdgpu_tests.py b/sharktank/tests/models/llama/benchmark_amdgpu_tests.py index 174fcbe87..0d234466e 100644 --- a/sharktank/tests/models/llama/benchmark_amdgpu_tests.py +++ b/sharktank/tests/models/llama/benchmark_amdgpu_tests.py @@ -137,9 +137,9 @@ def get_export_cmd( raise NotImplementedError( "attention_kernel torch_sdpa not yet plumbed through" ) - if tensor_parallelism_size: - export_args.append("--tensor-parallelism-size") - export_args.append(str(tensor_parallelism_size)) + # if tensor_parallelism_size: + # export_args.append("--tensor-parallelism-size") + # export_args.append(str(tensor_parallelism_size)) cmd = subprocess.list2cmdline(export_args) return cmd From ea311e8c1507b8abd163ba80018247c875b57283 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 13:01:54 -0500 Subject: [PATCH 37/51] test benchmark export --- .github/workflows/ci_eval.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index d70af3004..cff813f1f 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -67,6 +67,8 @@ jobs: iree-runtime \ "numpy<2.0" + - name: Fetch reqs + run: pip list - name: test benchmark run: pytest sharktank/tests/models/llama/benchmark_amdgpu_tests.py -v -s --longrun -k 'testBenchmark8B_f16_Decomposed' - name: test1 From b2206887d1d78cc68e7b43127b7dd35763f7ee87 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 13:41:06 -0500 Subject: [PATCH 38/51] Remove export tests --- .github/workflows/ci_eval.yaml | 7 ------- 1 file changed, 7 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index cff813f1f..37a24eda2 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -66,13 +66,6 @@ jobs: iree-compiler \ iree-runtime \ "numpy<2.0" - - - name: Fetch reqs - run: pip list - - name: test benchmark - run: pytest sharktank/tests/models/llama/benchmark_amdgpu_tests.py -v -s --longrun -k 'testBenchmark8B_f16_Decomposed' - - name: test1 - run: cd /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/sharktank && python3 -m sharktank.examples.export_paged_llm_v1 --irpa-file /data/llama-3.1/8b/llama8b_f16.irpa --output-mlir /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.mlir --output-config /home/nod/actions-runner-llama/_work/SHARK-Platform/SHARK-Platform/tmp_perplexity_ci_artifacts/llama8b_f16_decomposed.json --bs 100 --attention-kernel decomposed - name: Run perplexity test with vmfb run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun From 09796b71f0578f24edac19161c5d3b1f2fe2eebf Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 14:47:00 -0500 Subject: [PATCH 39/51] Remove hardcoded paths --- .github/workflows/ci_eval.yaml | 12 +++++- sharktank/conftest.py | 69 ---------------------------------- 2 files changed, 10 insertions(+), 71 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 1b1d153aa..db056b6cd 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -67,7 +67,12 @@ jobs: iree-runtime \ "numpy<2.0" - name: Run perplexity test with vmfb - run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --iree-device='hip://7' --longrun + run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py \ + --longrun \ + --iree-device='hip://7' \ + --iree-hip-target='gfx942' \ + --llama3-8b-f16-model-path=/data/extra/models/llama3.1_8B/llama8b_f16.irpa \ + --llama3-8b-tokenizer-path=/data/extra/models/llama3.1_8B/tokenizer_config.json # test_perplexity_torch: # timeout-minutes: 1000 @@ -113,4 +118,7 @@ jobs: # pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ # - name: Run perplexity test in eager mode - # run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_torch_test.py --longrun + # run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py \ + # --longrun \ + # --llama3-8b-f16-model-path=/data/extra/models/llama3.1_8B/llama8b_f16.irpa \ + # --llama3-8b-tokenizer-path=/data/extra/models/llama3.1_8B/tokenizer_config.json diff --git a/sharktank/conftest.py b/sharktank/conftest.py index b7415b427..2076c39eb 100644 --- a/sharktank/conftest.py +++ b/sharktank/conftest.py @@ -77,23 +77,13 @@ def pytest_addoption(parser): "--llama3-8b-tokenizer-path", type=Path, action="store", - default="/data/llama-3.1/8b/tokenizer_config.json", help="Llama3.1 8b tokenizer path, defaults to 30F CI system path", ) - parser.addoption( - "--llama3-8b-json-path", - type=Path, - action="store", - default="/data/extra/models/llama3.1_8B/llama8b_test.json", - help="Llama3.1 8b fp8 parameters json path", - ) - parser.addoption( "--llama3-8b-f16-model-path", type=Path, action="store", - default="/data/llama-3.1/8b/llama8b_f16.irpa", help="Llama3.1 8b model path, defaults to 30F CI system path", ) @@ -105,51 +95,17 @@ def pytest_addoption(parser): help="Llama3.1 8b fp8 model path", ) - parser.addoption( - "--llama3-8b-f16-mlir-path", - type=Path, - action="store", - default="/data/extra/models/llama3.1_8B/llama8b_f16_test.mlir", - help="Llama3.1 8b mlir path, defaults to 30F CI system path", - ) - - parser.addoption( - "--llama3-8b-fp8-mlir-path", - type=Path, - action="store", - default=None, - help="Llama3.1 8b fp8 mlir path", - ) - - parser.addoption( - "--llama3-8b-f16-vmfb-path", - type=Path, - action="store", - default="/data/extra/models/llama3.1_8B/llama8b_f16.vmfb", - help="Llama3.1 8b fp16 vmfb path, defaults to 30F CI system path", - ) - parser.addoption( "--llama3-405b-tokenizer-path", type=Path, action="store", - default="/data/llama-3.1/405b/tokenizer_config.json", help="Llama3.1 405b tokenizer path, defaults to 30F CI system path", ) - parser.addoption( - "--llama3-405b-json-path", - type=Path, - action="store", - default="/data/extra/models/llama3.1_405B/llama405b_test.json", - help="Llama3.1 405b fp8 parameters json path", - ) - parser.addoption( "--llama3-405b-f16-model-path", type=Path, action="store", - default="/data/llama-3.1/405b/llama405b_fp16.irpa", help="Llama3.1 405b model path, defaults to 30F CI system path", ) @@ -161,30 +117,6 @@ def pytest_addoption(parser): help="Llama3.1 405b fp8 model path", ) - parser.addoption( - "--llama3-405b-f16-mlir-path", - type=Path, - action="store", - default="/data/extra/models/llama3.1_405B/llama405b_fp16_test.mlir", - help="Llama3.1 405b mlir path, defaults to 30F CI system path", - ) - - parser.addoption( - "--llama3-405b-fp8-mlir-path", - type=Path, - action="store", - default=None, - help="Llama3.1 405b fp8 mlir path", - ) - - parser.addoption( - "--llama3-405b-f16-vmfb-path", - type=Path, - action="store", - default="/data/extra/models/llama3.1_405B/llama405b_fp16.vmfb", - help="Llama3.1 405b fp16 vmfb path, defaults to 30F CI system path", - ) - parser.addoption( "--baseline-perplexity-scores", type=Path, @@ -203,7 +135,6 @@ def pytest_addoption(parser): parser.addoption( "--iree-hip-target", action="store", - default="gfx942", help="Specify the iree-hip target version (e.g., gfx942)", ) From 8069f24cbd39f86c45462449143949b269ce05c1 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 14:47:43 -0500 Subject: [PATCH 40/51] Xfail 405b as sharding vmfb is unsupported --- sharktank/tests/evaluate/perplexity_vmfb_test.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/sharktank/tests/evaluate/perplexity_vmfb_test.py b/sharktank/tests/evaluate/perplexity_vmfb_test.py index 6ad187d21..3a6950ad6 100644 --- a/sharktank/tests/evaluate/perplexity_vmfb_test.py +++ b/sharktank/tests/evaluate/perplexity_vmfb_test.py @@ -164,6 +164,9 @@ def test_llama3_8B_fp8(self): msg=f"Current perplexity deviates baseline by {perplexity_difference}", ) + @pytest.mark.xfail( + reason="Sharding is not supported yet", + ) @longrun def test_llama3_405B_f16_decomposed(self): @@ -267,7 +270,7 @@ def test_llama3_405B_fp8_decomposed(self): ) @pytest.mark.xfail( - reason="Non-decomposed attention is not supported yet", + reason="FP8 model is unsupported", ) @longrun def test_llama3_405B_fp8(self): From fb78644401fa64a9a98740acc8b2eb00228013c9 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 14:53:35 -0500 Subject: [PATCH 41/51] Update mi-300x-3 path --- .github/workflows/ci_eval.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index db056b6cd..080641909 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -71,8 +71,8 @@ jobs: --longrun \ --iree-device='hip://7' \ --iree-hip-target='gfx942' \ - --llama3-8b-f16-model-path=/data/extra/models/llama3.1_8B/llama8b_f16.irpa \ - --llama3-8b-tokenizer-path=/data/extra/models/llama3.1_8B/tokenizer_config.json + --llama3-8b-f16-model-path=/data/llama-3.1/8b/llama8b_f16.irpa \ + --llama3-8b-tokenizer-path=/data/llama-3.1/8b/tokenizer_config.json # test_perplexity_torch: # timeout-minutes: 1000 @@ -120,5 +120,5 @@ jobs: # - name: Run perplexity test in eager mode # run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py \ # --longrun \ - # --llama3-8b-f16-model-path=/data/extra/models/llama3.1_8B/llama8b_f16.irpa \ - # --llama3-8b-tokenizer-path=/data/extra/models/llama3.1_8B/tokenizer_config.json + # --llama3-8b-f16-model-path=/data/llama-3.1/8b/llama8b_f16.irpa \ + # --llama3-8b-tokenizer-path=/data/llama-3.1/8b/tokenizer_config.json From c3aa964d31550e9f5aeb4482dc94a3cfeb6204d1 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 15:58:43 -0500 Subject: [PATCH 42/51] Test pytest command --- .github/workflows/ci_eval.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 080641909..0c10fe2a5 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -67,8 +67,7 @@ jobs: iree-runtime \ "numpy<2.0" - name: Run perplexity test with vmfb - run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py \ - --longrun \ + run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --longrun \ --iree-device='hip://7' \ --iree-hip-target='gfx942' \ --llama3-8b-f16-model-path=/data/llama-3.1/8b/llama8b_f16.irpa \ From 7d277d37b99eba0dedc8c85f89070ebdcdcd75c9 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 16:09:43 -0500 Subject: [PATCH 43/51] Test pytest command --- .github/workflows/ci_eval.yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 0c10fe2a5..273bfe3ef 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -67,11 +67,7 @@ jobs: iree-runtime \ "numpy<2.0" - name: Run perplexity test with vmfb - run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --longrun \ - --iree-device='hip://7' \ - --iree-hip-target='gfx942' \ - --llama3-8b-f16-model-path=/data/llama-3.1/8b/llama8b_f16.irpa \ - --llama3-8b-tokenizer-path=/data/llama-3.1/8b/tokenizer_config.json + run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --longrun --iree-device='hip://7' --iree-hip-target='gfx942' --llama3-8b-f16-model-path=/data/llama-3.1/8b/llama8b_f16.irpa --llama3-8b-tokenizer-path=/data/llama-3.1/8b/tokenizer_config.json # test_perplexity_torch: # timeout-minutes: 1000 From 5f5408495737bf0e9fff687f4feb9a4d047593ec Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 17:52:38 -0500 Subject: [PATCH 44/51] Revert benchmarking test changes --- sharktank/tests/models/llama/benchmark_amdgpu_tests.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/sharktank/tests/models/llama/benchmark_amdgpu_tests.py b/sharktank/tests/models/llama/benchmark_amdgpu_tests.py index 0d234466e..174fcbe87 100644 --- a/sharktank/tests/models/llama/benchmark_amdgpu_tests.py +++ b/sharktank/tests/models/llama/benchmark_amdgpu_tests.py @@ -137,9 +137,9 @@ def get_export_cmd( raise NotImplementedError( "attention_kernel torch_sdpa not yet plumbed through" ) - # if tensor_parallelism_size: - # export_args.append("--tensor-parallelism-size") - # export_args.append(str(tensor_parallelism_size)) + if tensor_parallelism_size: + export_args.append("--tensor-parallelism-size") + export_args.append(str(tensor_parallelism_size)) cmd = subprocess.list2cmdline(export_args) return cmd From 052f24a8728182b84083354e08659d39cc06759a Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 18:15:08 -0500 Subject: [PATCH 45/51] Revert debug changes --- .github/workflows/ci_eval.yaml | 86 +++++++++---------- .../tests/evaluate/perplexity_vmfb_test.py | 2 +- 2 files changed, 42 insertions(+), 46 deletions(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 273bfe3ef..55aef5ac5 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -1,7 +1,6 @@ name: Evaluation Tests on: - pull_request: workflow_dispatch: schedule: # Weekdays nightly at 07:00 UTC = 23:00 PST / 00:00 PDT. @@ -69,51 +68,48 @@ jobs: - name: Run perplexity test with vmfb run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --longrun --iree-device='hip://7' --iree-hip-target='gfx942' --llama3-8b-f16-model-path=/data/llama-3.1/8b/llama8b_f16.irpa --llama3-8b-tokenizer-path=/data/llama-3.1/8b/tokenizer_config.json - # test_perplexity_torch: - # timeout-minutes: 1000 - # name: "Evaluation Tests - perplexity_torch" - # strategy: - # matrix: - # version: [3.11] - # runs-on: [llama-mi300] - # fail-fast: false - # runs-on: ${{matrix.runs-on}} - # defaults: - # run: - # shell: bash - # env: - # PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache" - # SHARK_PLATFORM_REPO_ROOT: ${{ github.workspace }} - # steps: - # - name: "Setting up Python" - # id: setup_python - # uses: actions/setup-python@v3 - # with: - # python-version: ${{matrix.version}} + test_perplexity_torch: + timeout-minutes: 1000 + name: "Evaluation Tests - perplexity_torch" + strategy: + matrix: + version: [3.11] + runs-on: [llama-mi300x-3] + fail-fast: false + runs-on: ${{matrix.runs-on}} + defaults: + run: + shell: bash + env: + PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache" + SHARK_PLATFORM_REPO_ROOT: ${{ github.workspace }} + steps: + - name: "Setting up Python" + id: setup_python + uses: actions/setup-python@v3 + with: + python-version: ${{matrix.version}} - # - name: "Checkout Code" - # uses: actions/checkout@v3 + - name: "Checkout Code" + uses: actions/checkout@v3 - # - name: Cache Pip Packages - # uses: actions/cache@v4 - # id: cache-pip - # with: - # path: ${{ env.PIP_CACHE_DIR }} - # key: pip-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*requirements.txt') }} + - name: Cache Pip Packages + uses: actions/cache@v4 + id: cache-pip + with: + path: ${{ env.PIP_CACHE_DIR }} + key: pip-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*requirements.txt') }} - # - name: Install sharktank deps - # run: | - # python -m pip install --no-compile --upgrade pip - # # Note: We install in three steps in order to satisfy requirements - # # from non default locations first. Installing the PyTorch CPU - # # wheels saves multiple minutes and a lot of bandwidth on runner setup. - # pip install --no-compile -r pytorch-cpu-requirements.txt - # pip install --no-compile -f https://iree.dev/pip-release-links.html --src deps \ - # -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" - # pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ + - name: Install sharktank deps + run: | + python -m pip install --no-compile --upgrade pip + # Note: We install in three steps in order to satisfy requirements + # from non default locations first. Installing the PyTorch CPU + # wheels saves multiple minutes and a lot of bandwidth on runner setup. + pip install --no-compile -r pytorch-cpu-requirements.txt + pip install --no-compile -f https://iree.dev/pip-release-links.html --src deps \ + -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" + pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - # - name: Run perplexity test in eager mode - # run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py \ - # --longrun \ - # --llama3-8b-f16-model-path=/data/llama-3.1/8b/llama8b_f16.irpa \ - # --llama3-8b-tokenizer-path=/data/llama-3.1/8b/tokenizer_config.json + - name: Run perplexity test in eager mode + run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --longrun --llama3-8b-f16-model-path=/data/llama-3.1/8b/llama8b_f16.irpa --llama3-8b-tokenizer-path=/data/llama-3.1/8b/tokenizer_config.json diff --git a/sharktank/tests/evaluate/perplexity_vmfb_test.py b/sharktank/tests/evaluate/perplexity_vmfb_test.py index 3a6950ad6..8b3fc80dc 100644 --- a/sharktank/tests/evaluate/perplexity_vmfb_test.py +++ b/sharktank/tests/evaluate/perplexity_vmfb_test.py @@ -130,7 +130,7 @@ def test_llama3_8B_fp8_decomposed(self): ) @pytest.mark.xfail( - reason="Non-decomposed attention is not supported yet", + reason="FP8 model is unsupported", ) @longrun def test_llama3_8B_fp8(self): From a9227c7b88858d0a109f82eef44b18ac7b2f92dc Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 18:29:12 -0500 Subject: [PATCH 46/51] Xfail 405b eager mode perplexity till sharding is fixed --- sharktank/tests/evaluate/perplexity_vmfb_test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sharktank/tests/evaluate/perplexity_vmfb_test.py b/sharktank/tests/evaluate/perplexity_vmfb_test.py index 8b3fc80dc..0003c2afd 100644 --- a/sharktank/tests/evaluate/perplexity_vmfb_test.py +++ b/sharktank/tests/evaluate/perplexity_vmfb_test.py @@ -165,7 +165,7 @@ def test_llama3_8B_fp8(self): ) @pytest.mark.xfail( - reason="Sharding is not supported yet", + reason="Sharding needs to be fixed", ) @longrun def test_llama3_405B_f16_decomposed(self): From 31aebbd7279c4e632e08e8a50f143220651938ef Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 18:42:21 -0500 Subject: [PATCH 47/51] Add xfail to 405b as sharding needs to be fixed --- sharktank/tests/evaluate/perplexity_torch_test.py | 3 +++ sharktank/tests/evaluate/perplexity_vmfb_test.py | 2 +- 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/sharktank/tests/evaluate/perplexity_torch_test.py b/sharktank/tests/evaluate/perplexity_torch_test.py index b2b098ae7..042132f20 100644 --- a/sharktank/tests/evaluate/perplexity_torch_test.py +++ b/sharktank/tests/evaluate/perplexity_torch_test.py @@ -143,6 +143,9 @@ def test_llama3_8B_fp8(self): msg=f"Current perplexity deviates baseline by {perplexity_difference}", ) + @pytest.mark.xfail( + reason="Sharding needs to be fixed", + ) @longrun def test_llama3_405B_f16_decomposed(self): diff --git a/sharktank/tests/evaluate/perplexity_vmfb_test.py b/sharktank/tests/evaluate/perplexity_vmfb_test.py index 0003c2afd..93ffbe61c 100644 --- a/sharktank/tests/evaluate/perplexity_vmfb_test.py +++ b/sharktank/tests/evaluate/perplexity_vmfb_test.py @@ -165,7 +165,7 @@ def test_llama3_8B_fp8(self): ) @pytest.mark.xfail( - reason="Sharding needs to be fixed", + reason="Sharding is unsupported", ) @longrun def test_llama3_405B_f16_decomposed(self): From 461034bca7efba84bc59c976ba0d1dd3d295a5eb Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 18:55:16 -0500 Subject: [PATCH 48/51] Final testing --- .github/workflows/ci_eval.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 55aef5ac5..3936a356b 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -1,6 +1,7 @@ name: Evaluation Tests on: + pull_request: workflow_dispatch: schedule: # Weekdays nightly at 07:00 UTC = 23:00 PST / 00:00 PDT. From 22da6e76cdc333558fc029cc940b9f197b2d2303 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 21:26:33 -0500 Subject: [PATCH 49/51] Fix CI test script --- .github/workflows/ci_eval.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 3936a356b..4eebdaf06 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -113,4 +113,4 @@ jobs: pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ - name: Run perplexity test in eager mode - run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --longrun --llama3-8b-f16-model-path=/data/llama-3.1/8b/llama8b_f16.irpa --llama3-8b-tokenizer-path=/data/llama-3.1/8b/tokenizer_config.json + run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_torch_test.py --longrun --llama3-8b-f16-model-path=/data/llama-3.1/8b/llama8b_f16.irpa --llama3-8b-tokenizer-path=/data/llama-3.1/8b/tokenizer_config.json From fe4988a46b51d2936e544a7c24ea6a7c4116a98b Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 23:36:24 -0500 Subject: [PATCH 50/51] Remove CI debugging --- .github/workflows/ci_eval.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/ci_eval.yaml b/.github/workflows/ci_eval.yaml index 4eebdaf06..a528cfa13 100644 --- a/.github/workflows/ci_eval.yaml +++ b/.github/workflows/ci_eval.yaml @@ -1,7 +1,6 @@ name: Evaluation Tests on: - pull_request: workflow_dispatch: schedule: # Weekdays nightly at 07:00 UTC = 23:00 PST / 00:00 PDT. From e2c6c17a4c6e3336238b893f3e454a7c99030a96 Mon Sep 17 00:00:00 2001 From: archana-ramalingam Date: Mon, 28 Oct 2024 23:50:26 -0500 Subject: [PATCH 51/51] Remove dummy 405b vmfb baseline numbers --- .../evaluate/baseline_perplexity_scores.json | 106 ------------------ 1 file changed, 106 deletions(-) diff --git a/sharktank/tests/evaluate/baseline_perplexity_scores.json b/sharktank/tests/evaluate/baseline_perplexity_scores.json index e824be52c..d9d0d454b 100644 --- a/sharktank/tests/evaluate/baseline_perplexity_scores.json +++ b/sharktank/tests/evaluate/baseline_perplexity_scores.json @@ -314,111 +314,5 @@ 12495.99707 ], "mean_perplexity": 12543.547432 - }, - - "llama3_405B_f16_decomposed_vmfb": { - "perplexities": [ - 2.170036, - 8.014498, - 3.743922, - 10.629776, - 8.965701, - 2.884743, - 2.886767, - 3.853816, - 2.73785, - 15.235562, - 2.65135, - 1.970936, - 5.08259, - 2.507602, - 7.571635, - 3.005182, - 1.904492, - 3.182651, - 6.249443, - 4.661795, - 12.68933, - 35.432453, - 5.50336, - 60.950359, - 18.433432, - 5.001391, - 4.814827, - 2.99482, - 2.697508, - 2.617349, - 2.359061, - 16.697233, - 2.145065, - 2.1207, - 2.496015, - 1.822896, - 4.671626, - 2.389186, - 2.701802, - 1.921128, - 2.236057, - 4.741998, - 4.946936, - 2.758695, - 2.446043, - 2.146302, - 8.72202, - 4.180647, - 11.449497, - 13.429152, - 3.72468, - 2.407385, - 3.592854, - 5.412414, - 3.189998, - 4.186216, - 1.642744, - 2.279058, - 1.855652, - 3.453852, - 1.436223, - 1.516955, - 1.716439, - 4.715765, - 21.48657, - 2.208737, - 6.420449, - 2.001433, - 2.400955, - 3.543744, - 3.054271, - 7.904545, - 1.950376, - 3.983746, - 6.28265, - 2.64157, - 5.473378, - 3.444444, - 1.926046, - 3.092915, - 3.996159, - 3.125222, - 1.718025, - 3.856093, - 3.041075, - 11.798485, - 14.881112, - 5.631516, - 4.407883, - 4.840533, - 21.351448, - 2.065821, - 6.658993, - 28.123312, - 1.673253, - 3.729975, - 5.336116, - 8.579758, - 2.979404, - 1.915619 - ], - "mean_perplexity": 6.060831 } }