wehub-resource-sync
56 lines
1.9 KiB
C++
56 lines
1.9 KiB
C++
// Copyright (c) 2018 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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#include "paddle/phi/kernels/funcs/blas/blas.h"
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namespace phi {
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namespace funcs {
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MatDescriptor CreateMatrixDescriptor(const DDim &tensor_dim,
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int num_flatten_cols,
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bool trans) {
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PADDLE_ENFORCE_GT(
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tensor_dim.size(),
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1,
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common::errors::InvalidArgument("The tensor dim size should be greater "
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"than 1, but received dim size is %d",
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tensor_dim.size()));
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MatDescriptor retv;
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if (num_flatten_cols > 1) {
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auto flatten_dim = common::flatten_to_2d(tensor_dim, num_flatten_cols);
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retv.height_ = flatten_dim[0];
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retv.width_ = flatten_dim[1];
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} else {
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if (tensor_dim.size() == 2) {
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retv.height_ = tensor_dim[0];
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retv.width_ = tensor_dim[1];
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} else {
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auto dim_vec = vectorize(tensor_dim);
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retv.batch_size_ = 1;
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for (size_t i = 0; i < dim_vec.size() - 2; ++i) {
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retv.batch_size_ *= dim_vec[i];
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}
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retv.height_ = dim_vec[dim_vec.size() - 2];
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retv.width_ = dim_vec[dim_vec.size() - 1];
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retv.stride_ = retv.height_ * retv.width_;
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}
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}
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if (trans) {
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std::swap(retv.width_, retv.height_);
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}
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retv.trans_ = trans;
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return retv;
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}
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} // namespace funcs
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} // namespace phi
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