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2026-07-13 12:40:42 +08:00

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C++

// 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/kernels/full_kernel.h"
#include "paddle/phi/kernels/funcs/blas/blas.h"
namespace phi {
template <typename T, typename Context>
void MvKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& vec,
DenseTensor* out) {
const auto& dim_x = x.dims();
// get data ptr
const T* x_data = x.data<T>();
const T* vec_data = vec.data<T>();
T* out_data = dev_ctx.template Alloc<T>(out);
if (out && out->numel() == 0) {
return;
}
// x.shape [10, 0], vec.shape [0], out.shape [10]
if (vec.numel() == 0) {
Full<T, Context>(dev_ctx, out->dims(), static_cast<T>(0), out);
return;
}
auto blas = funcs::GetBlas<Context, T>(dev_ctx);
blas.GEMV(false,
dim_x[0],
dim_x[1],
static_cast<T>(1),
x_data,
vec_data,
static_cast<T>(0),
out_data);
}
} // namespace phi