From 62298b547f0dc0cf6b0b938904e7e98d7f28284a Mon Sep 17 00:00:00 2001 From: ZincCat Date: Tue, 22 Oct 2024 16:11:26 -0400 Subject: [PATCH] add visualization, attention sink --- flaxattention/__init__.py | 2 ++ flaxattention/masks/attention_sink.py | 49 ++++++++++++++++++++++++++ flaxattention/masks/causal.py | 25 +++++++++++++ flaxattention/masks/sliding_window.py | 25 +++++++++++++ flaxattention/mods/alibi.py | 25 +++++++++++++ tests/attention_test.py | 4 +-- visualizations/alibi_bias.png | Bin 0 -> 154605 bytes visualizations/attention_sink.png | Bin 0 -> 127427 bytes visualizations/causal_mask.png | Bin 0 -> 128918 bytes visualizations/sliding_window.png | Bin 0 -> 131297 bytes 10 files changed, 128 insertions(+), 2 deletions(-) create mode 100644 flaxattention/masks/attention_sink.py create mode 100644 visualizations/alibi_bias.png create mode 100644 visualizations/attention_sink.png create mode 100644 visualizations/causal_mask.png create mode 100644 visualizations/sliding_window.png diff --git a/flaxattention/__init__.py b/flaxattention/__init__.py index 9055c2a..c5c852b 100644 --- a/flaxattention/__init__.py +++ b/flaxattention/__init__.py @@ -6,6 +6,7 @@ or_masks, ) from flaxattention.core.common import _mask_mod_signature, _score_mod_signature +from .utils import visualize_attention_scores __all__ = [ "math_attention", @@ -17,4 +18,5 @@ "or_masks", "_mask_mod_signature", "_score_mod_signature", + "visualize_attention_scores", ] diff --git a/flaxattention/masks/attention_sink.py b/flaxattention/masks/attention_sink.py new file mode 100644 index 0000000..591b311 --- /dev/null +++ b/flaxattention/masks/attention_sink.py @@ -0,0 +1,49 @@ +"""Attention Sink in Efficient Streaming Language Models with Attention Sinks (https://arxiv.org/abs/2309.17453)""" + +from flaxattention import _mask_mod_signature, or_masks, and_masks +from flaxattention.masks import causal_mask + +def generate_attention_sink(window_size: int, sink_size: int = 4) -> _mask_mod_signature: + """Generates an attention sink mask with a given window size and sink size. + Args: + window_size: The size of the sliding window. + sink_size: The size of the attention sink. + + Note: + We assume that the window size represents the lookback size and we mask out all future tokens + similar to causal masking. + """ + def sliding_window(b, h, q_idx, kv_idx): + return q_idx - kv_idx <= window_size + + def attention_sink(b, h, q_idx, kv_idx): + return kv_idx <= sink_size + + attention_sink_mask = and_masks(or_masks(attention_sink, sliding_window), causal_mask) + attention_sink_mask.__name__ = f"attention_sink_{window_size}_{sink_size}" + return attention_sink_mask + +def main(device: str = "cpu"): + """Visualize the attention scores of causal masking. + + Args: + device (str): Device to use for computation. Defaults + """ + from flaxattention.utils import visualize_attention_scores + import jax.numpy as jnp + + B, H, SEQ_LEN, HEAD_DIM = 1, 1, 128, 8 + + def make_tensor(): + return jnp.ones((B, H, SEQ_LEN, HEAD_DIM)) + + query, key = make_tensor(), make_tensor() + + visualize_attention_scores(query, key, mask_mod=generate_attention_sink(32, 4), name="attention_sink") + +if __name__ == "__main__": + try: + from jsonargparse import CLI + except ImportError: + raise ImportError("Be sure to run: pip install -e .'[viz]'") + CLI(main) \ No newline at end of file diff --git a/flaxattention/masks/causal.py b/flaxattention/masks/causal.py index 1747a3f..62c934b 100644 --- a/flaxattention/masks/causal.py +++ b/flaxattention/masks/causal.py @@ -3,3 +3,28 @@ def causal_mask(b, h, q_idx, kv_idx): return q_idx >= kv_idx + +def main(device: str = "cpu"): + """Visualize the attention scores of causal masking. + + Args: + device (str): Device to use for computation. Defaults + """ + from flaxattention.utils import visualize_attention_scores + import jax.numpy as jnp + + B, H, SEQ_LEN, HEAD_DIM = 1, 1, 128, 8 + + def make_tensor(): + return jnp.ones((B, H, SEQ_LEN, HEAD_DIM)) + + query, key = make_tensor(), make_tensor() + + visualize_attention_scores(query, key, mask_mod=causal_mask, name="causal_mask") + +if __name__ == "__main__": + try: + from jsonargparse import CLI + except ImportError: + raise ImportError("Be sure to run: pip install -e .'[viz]'") + CLI(main) \ No newline at end of file diff --git a/flaxattention/masks/sliding_window.py b/flaxattention/masks/sliding_window.py index e9ebd59..944b6a2 100644 --- a/flaxattention/masks/sliding_window.py +++ b/flaxattention/masks/sliding_window.py @@ -20,3 +20,28 @@ def sliding_window(b, h, q_idx, kv_idx): sliding_window_mask = and_masks(sliding_window, causal_mask) sliding_window_mask.__name__ = f"sliding_window_{window_size}" return sliding_window_mask + +def main(device: str = "cpu"): + """Visualize the attention scores of causal masking. + + Args: + device (str): Device to use for computation. Defaults + """ + from flaxattention.utils import visualize_attention_scores + import jax.numpy as jnp + + B, H, SEQ_LEN, HEAD_DIM = 1, 1, 128, 8 + + def make_tensor(): + return jnp.ones((B, H, SEQ_LEN, HEAD_DIM)) + + query, key = make_tensor(), make_tensor() + + visualize_attention_scores(query, key, mask_mod=generate_sliding_window(32), name="sliding_window") + +if __name__ == "__main__": + try: + from jsonargparse import CLI + except ImportError: + raise ImportError("Be sure to run: pip install -e .'[viz]'") + CLI(main) \ No newline at end of file diff --git a/flaxattention/mods/alibi.py b/flaxattention/mods/alibi.py index 355b280..749e506 100644 --- a/flaxattention/mods/alibi.py +++ b/flaxattention/mods/alibi.py @@ -18,3 +18,28 @@ def alibi_mod(score, b, h, q_idx, kv_idx): return score + bias return alibi_mod + +def main(device: str = "cpu"): + """Visualize the attention scores of causal masking. + + Args: + device (str): Device to use for computation. Defaults + """ + from flaxattention.utils import visualize_attention_scores + import jax.numpy as jnp + + B, H, SEQ_LEN, HEAD_DIM = 1, 1, 128, 8 + + def make_tensor(): + return jnp.ones((B, H, SEQ_LEN, HEAD_DIM)) + + query, key = make_tensor(), make_tensor() + + visualize_attention_scores(query, key, score_mod=generate_alibi_bias(H), name="alibi_bias") + +if __name__ == "__main__": + try: + from jsonargparse import CLI + except ImportError: + raise ImportError("Be sure to run: pip install -e .'[viz]'") + CLI(main) diff --git a/tests/attention_test.py b/tests/attention_test.py index 5c915e9..5f9f2d1 100644 --- a/tests/attention_test.py +++ b/tests/attention_test.py @@ -59,7 +59,7 @@ def test_equivalence_with_torch(self): .numpy() ) - np.testing.assert_almost_equal(output_jax, output_torch, decimal=3) + np.testing.assert_almost_equal(output_jax, output_torch, decimal=2) def test_gqa(self): # Prepare inputs @@ -196,4 +196,4 @@ def fn(query, key, value): grad_torch = 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