72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
# Copyright The PyTorch Lightning team.
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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 typing import Any, Dict, List, Optional, Union
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import torch
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from pytorch_lightning.accelerators.accelerator import Accelerator
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from pytorch_lightning.utilities import device_parser
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from pytorch_lightning.utilities.imports import _TPU_AVAILABLE, _XLA_AVAILABLE
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if _XLA_AVAILABLE:
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import torch_xla.core.xla_model as xm
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class TPUAccelerator(Accelerator):
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"""Accelerator for TPU devices."""
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def get_device_stats(self, device: Union[str, torch.device]) -> Dict[str, Any]:
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"""Gets stats for the given TPU device.
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Args:
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device: TPU device for which to get stats
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Returns:
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A dictionary mapping the metrics (free memory and peak memory) to their values.
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"""
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memory_info = xm.get_memory_info(device)
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free_memory = memory_info["kb_free"]
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peak_memory = memory_info["kb_total"] - free_memory
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device_stats = {
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"avg. free memory (MB)": free_memory,
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"avg. peak memory (MB)": peak_memory,
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}
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return device_stats
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@staticmethod
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def parse_devices(devices: Union[int, str, List[int]]) -> Optional[Union[int, List[int]]]:
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"""Accelerator device parsing logic."""
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return device_parser.parse_tpu_cores(devices)
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@staticmethod
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def get_parallel_devices(devices: Union[int, List[int]]) -> List[int]:
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"""Gets parallel devices for the Accelerator."""
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if isinstance(devices, int):
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return list(range(devices))
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return devices
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@staticmethod
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def auto_device_count() -> int:
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"""Get the devices when set to auto."""
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return 8
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@staticmethod
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def is_available() -> bool:
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return _TPU_AVAILABLE
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@staticmethod
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def name() -> str:
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"""Name of the Accelerator."""
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return "tpu"
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