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42 lines
1.6 KiB
Python
42 lines
1.6 KiB
Python
# Copyright (c) 2020, NVIDIA CORPORATION. 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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import functools
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import importlib.metadata
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from typing import Tuple
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import packaging
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import torch
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from nemo.utils.import_utils import safe_import_from
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# Check if Transformer Engine has quantized tensor classes
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Float8Tensor, HAVE_TE_FLOAT8TENSOR = safe_import_from("transformer_engine.pytorch.float8_tensor", "Float8Tensor")
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MXFP8Tensor, HAVE_TE_MXFP8TENSOR = safe_import_from("transformer_engine.pytorch.mxfp8_tensor", "MXFP8Tensor")
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def is_float8tensor(tensor: torch.Tensor) -> bool:
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"""Check if a tensor is a Transformer Engine Float8Tensor"""
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return HAVE_TE_FLOAT8TENSOR and isinstance(tensor, Float8Tensor)
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def is_mxfp8tensor(tensor: torch.Tensor) -> bool:
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"""Check if a tensor is a Transformer Engine MXFP8Tensor"""
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return HAVE_TE_MXFP8TENSOR and isinstance(tensor, MXFP8)
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@functools.lru_cache(maxsize=None)
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def te_version() -> Tuple[int, ...]:
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"""Transformer Engine version"""
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return packaging.version.Version(importlib.metadata.version("transformer-engine")).release
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