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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include "paddle/phi/core/dense_tensor.h"
namespace phi {
/**
* @brief Bmm Kernel.
* Applies batched matrix multiplication to two tensors.
*
* Both of the two input tensors must be three-dimensional
* and share the same batch size.
* if x is a (b, m, k) tensor, y is a (b, k, n) tensor,
* the output will be a (b, m, n) tensor.
*
* @param ctx device context
* @param x The input tensor
* @param y The input tensor
* @param out The product Tensor
*/
template <typename T, typename Context>
void BmmKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& y,
DenseTensor* out);
} // namespace phi