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