mirror of
https://github.com/huggingface/lerobot.git
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CarolinePascal
ca6d764107
Add get_safe_autocast_context helper that only enters torch.autocast on devices supporting AMP (cuda, xpu, cpu) and falls back to a no-op on mps and unknown backends. Route the previously unconditional/underspecified autocasts (vla_jepa, groot, molmoact2, lerobot_eval) through it so autocast can be requested unconditionally without breaking on unsupported devices.
41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
# Copyright 2024 The HuggingFace Inc. team. 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 contextlib import nullcontext
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import pytest
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import torch
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from lerobot.utils.device_utils import get_safe_autocast_context
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@pytest.mark.parametrize(
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("device", "enabled", "expect_autocast"),
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[
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("cpu", True, True), # AMP-capable device -> real autocast
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(torch.device("cpu"), True, True), # accepts torch.device
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("cpu", False, False), # explicitly disabled -> no-op
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("mps", True, False), # AMP unsupported on mps -> no-op
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("privateuseone", True, False), # unknown device -> safe no-op
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],
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)
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def test_get_safe_autocast_context(device, enabled, expect_autocast):
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ctx = get_safe_autocast_context(device, dtype=torch.bfloat16, enabled=enabled)
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if expect_autocast:
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assert isinstance(ctx, torch.autocast)
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with ctx:
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assert torch.is_autocast_enabled("cpu")
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else:
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assert isinstance(ctx, nullcontext)
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