chore: import upstream snapshot with attribution
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from paddle.base import core
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from paddle.base.framework import (
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_current_expected_place,
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_get_paddle_place,
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)
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from . import ( # noqa: F401
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accuracy_compare,
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debugging,
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grad_scaler,
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)
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from .amp_lists import ( # noqa: F401
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black_list,
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white_list,
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)
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from .auto_cast import ( # noqa: F401
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amp_decorate,
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amp_guard,
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auto_cast,
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autocast,
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decorate,
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get_autocast_dtype,
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is_autocast_enabled,
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)
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from .grad_scaler import ( # noqa: F401
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AmpScaler,
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GradScaler,
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OptimizerState,
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)
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__all__ = [
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'auto_cast',
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'GradScaler',
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'decorate',
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'is_float16_supported',
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'is_bfloat16_supported',
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'is_autocast_enabled',
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'get_autocast_dtype',
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'get_autocast_cpu_dtype',
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'get_autocast_gpu_dtype',
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]
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get_autocast_cpu_dtype = get_autocast_dtype
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get_autocast_gpu_dtype = get_autocast_dtype
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def is_float16_supported(device: str | None = None) -> bool:
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"""
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Determine whether the place supports float16 in the auto-mixed-precision training.
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Args:
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device (str|None, optional): Specify the running device.
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It can be ``cpu``, ``gpu``, ``xpu``, ``gpu:x`` and ``xpu:x``,
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where ``x`` is the index of the GPUs or XPUs. if device is None, the device is the current device. Default: None.
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Examples:
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.. code-block:: pycon
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>>> import paddle
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>>> paddle.amp.is_float16_supported() # True or False
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False
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"""
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device = (
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_current_expected_place()
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if device is None
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else _get_paddle_place(device)
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)
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return core.is_float16_supported(device)
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def is_bfloat16_supported(device: str | None = None) -> bool:
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"""
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Determine whether the place supports bfloat16 in the auto-mixed-precision training.
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Args:
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device (str|None, optional): Specify the running device.
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It can be ``cpu``, ``gpu``, ``xpu``, ``gpu:x`` and ``xpu:x``,
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where ``x`` is the index of the GPUs or XPUs. if device is None, the device is the current device. Default: None.
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Examples:
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.. code-block:: pycon
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>>> import paddle
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>>> paddle.amp.is_bfloat16_supported() # True or False
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True
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"""
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device = (
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_current_expected_place()
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if device is None
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else _get_paddle_place(device)
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)
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return core.is_bfloat16_supported(device)
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