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b99c5ce8c1
Signed-off-by: yunruis <yunruis@nvidia.com> Signed-off-by: kduan <176893526+Kefeng-Duan@users.noreply.github.com> Signed-off-by: Kefeng-Duan <176893526+Kefeng-Duan@users.noreply.github.com> Co-authored-by: kduan <176893526+Kefeng-Duan@users.noreply.github.com>
37 lines
1.5 KiB
C++
37 lines
1.5 KiB
C++
/*
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* Copyright (c) 2022-2024, 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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*/
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#include <optional>
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#include <torch/extension.h>
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namespace th = torch;
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namespace torch_ext
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{
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th::Tensor& cublas_mm_out(
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th::Tensor const& mat_a, th::Tensor const& mat_b, std::optional<at::Tensor> const& bias, th::Tensor& out);
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th::Tensor cublas_mm(th::Tensor const& mat_a, th::Tensor const& mat_b, std::optional<at::Tensor> const& bias,
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std::optional<c10::ScalarType> out_dtype);
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th::Tensor cublas_scaled_mm(th::Tensor const& mat_a, th::Tensor const& mat_b, th::Tensor const& scale_a,
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th::Tensor const& scale_b, std::optional<at::Tensor> const& bias, std::optional<c10::ScalarType> out_dtype,
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bool to_userbuffers = false);
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th::Tensor cublas_scaled_mm_out(th::Tensor const& mat_a, th::Tensor const& mat_b, th::Tensor const& scale_a,
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th::Tensor const& scale_b, std::optional<at::Tensor> const& bias, th::Tensor& out);
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} // namespace torch_ext
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