42 lines
1.3 KiB
C++
42 lines
1.3 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. 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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#pragma once
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#include "paddle/phi/core/dense_tensor.h"
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namespace phi {
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/**
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* @brief Bmm Kernel.
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* Applies batched matrix multiplication to two tensors.
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*
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* Both of the two input tensors must be three-dimensional
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* and share the same batch size.
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* if x is a (b, m, k) tensor, y is a (b, k, n) tensor,
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* the output will be a (b, m, n) tensor.
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*
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* @param ctx device context
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* @param x The input tensor
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* @param y The input tensor
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* @param out The product Tensor
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*/
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template <typename T, typename Context>
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void BmmKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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DenseTensor* out);
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} // namespace phi
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