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# Copyright 2024 The AI Edge Torch Authors. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
# ============================================================================== | ||
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"""Provides a configuration for the ai-edge-torch.""" | ||
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import functools | ||
import logging | ||
import os | ||
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__all__ = ["config"] | ||
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class _Config: | ||
"""ai-edge-torch global configs.""" | ||
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@property | ||
@functools.cache # pylint: disable=method-cache-max-size-none | ||
def use_torch_xla(self) -> bool: | ||
"""True if using torch_xla to lower torch ops to StableHLO. | ||
To use torch_xla as the lowering backend, set environment variable | ||
`USE_TORCH_XLA` to "true". | ||
""" | ||
var = os.environ.get("USE_TORCH_XLA", "false") | ||
var = var.lower().strip() | ||
if var in ("y", "yes", "t", "true", "on", "1"): | ||
return True | ||
elif var in ("n", "no", "f", "false", "off", "0"): | ||
return False | ||
else: | ||
logging.warning("Invalid USE_TORCH_XLA value is ignored: %s.", var) | ||
return False | ||
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@property | ||
def in_oss(self) -> bool: | ||
"""True if the code is not running in google internal environment.""" | ||
return True | ||
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config = _Config() |
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