mirror of
https://github.com/NVIDIA/Model-Optimizer.git
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90 lines
3.3 KiB
Python
90 lines
3.3 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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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"""Module to load C++ / CUDA extensions."""
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from pathlib import Path
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from modelopt.torch.utils import load_cpp_extension
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__all__ = ["get_cuda_ext", "get_cuda_ext_fp8", "get_cuda_ext_mx", "precompile"]
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path = Path(__file__).parent
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def get_cuda_ext(raise_if_failed: bool = False):
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"""Returns the cuda extention for tensor_quant."""
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if not hasattr(get_cuda_ext, "extension"):
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get_cuda_ext.extension = load_cpp_extension( # type:ignore[attr-defined]
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name="modelopt_cuda_ext",
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sources=[path / "src/tensor_quant.cpp", path / "src/tensor_quant_gpu.cu"],
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cuda_version_specifiers=">=11",
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raise_if_failed=raise_if_failed,
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)
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return get_cuda_ext.extension # type:ignore[attr-defined]
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def get_cuda_ext_fp8(raise_if_failed: bool = False):
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"""Returns the cuda extention for tensor_quant_fp8."""
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if not hasattr(get_cuda_ext_fp8, "extension"):
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get_cuda_ext_fp8.extension = load_cpp_extension( # type:ignore[attr-defined]
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name="modelopt_cuda_ext_fp8",
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sources=[path / "src/tensor_quant_fp8.cpp", path / "src/tensor_quant_gpu_fp8.cu"],
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cuda_version_specifiers=">=11.8",
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fail_msg=(
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"CUDA extension for FP8 quantization could not be built and loaded, FP8 simulated"
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" quantization will not be available."
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),
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raise_if_failed=raise_if_failed,
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)
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return get_cuda_ext_fp8.extension # type:ignore[attr-defined]
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def get_cuda_ext_mx(raise_if_failed: bool = False):
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"""Returns the cuda extention for tensor_quant_mx."""
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if not hasattr(get_cuda_ext_mx, "extension"):
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get_cuda_ext_mx.extension = load_cpp_extension( # type:ignore[attr-defined]
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name="modelopt_cuda_ext_mx",
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sources=[
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path / "src/tensor_quant_mx.cu",
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],
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cuda_version_specifiers=">=11.8",
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fail_msg=(
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"CUDA extension for MX quantization could not be built and loaded, MX simulated"
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" quantization will not be available."
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),
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extra_cuda_cflags=["--use_fast_math"],
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raise_if_failed=raise_if_failed,
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)
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return get_cuda_ext_mx.extension # type:ignore[attr-defined]
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def __getattr__(name):
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if name == "cuda_ext":
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return get_cuda_ext()
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elif name == "cuda_ext_fp8":
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return get_cuda_ext_fp8()
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elif name == "cuda_ext_mx":
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return get_cuda_ext_mx()
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else:
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raise AttributeError(f"module {__name__} has no attribute {name}")
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def precompile():
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"""Precompile the CUDA extensions."""
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print(get_cuda_ext())
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print(get_cuda_ext_fp8())
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print(get_cuda_ext_mx())
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