wehub-resource-sync
96 lines
3.3 KiB
C++
96 lines
3.3 KiB
C++
// Copyright (c) 2023 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/backends/onednn/matmul_utils.h"
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namespace phi {
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namespace funcs {
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DDim RowMatrixDimsFromVector(const DDim& x_dim) {
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return x_dim.size() > 1 ? x_dim : common::make_ddim({1, x_dim[0]});
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}
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DDim ColumnMatrixDimsFromVector(const DDim& y_dim) {
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return y_dim.size() > 1 ? y_dim : common::make_ddim({y_dim[0], 1});
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}
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std::vector<int64_t> TransposeAxis(const std::vector<int64_t>& x,
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const std::vector<int>& axis) {
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size_t in_rank = x.size();
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size_t axis_size = axis.size();
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auto axis_set = std::set<int>(axis.begin(), axis.end());
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PADDLE_ENFORCE_EQ(
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axis_set.size(),
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axis_size,
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errors::InvalidArgument("In an axis array, elements must be unique."));
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PADDLE_ENFORCE_EQ(
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in_rank,
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axis_size,
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errors::InvalidArgument("The input dimension's size "
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"should be equal to the axis's size. "
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"But received dimension is %d, "
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"axis's size is %d",
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in_rank,
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axis_size));
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PADDLE_ENFORCE_LT(*std::max_element(axis.begin(), axis.end()),
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axis_size,
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errors::InvalidArgument(
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"Axis values must be ranging from 0 to (dims - 1)."));
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std::vector<int64_t> new_x(x.size());
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for (size_t i = 0; i < x.size(); i++) {
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new_x[i] = x[axis[i]];
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}
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return new_x;
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}
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std::vector<int64_t> GetInputStrides(const std::string input_name,
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const DDim& input_dims,
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const bool transpose_input,
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std::vector<int> shape,
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std::vector<int> axis) {
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auto new_dims = input_dims;
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if (!shape.empty() && !axis.empty()) {
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new_dims = input_dims.reshape(shape).transpose(axis);
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}
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auto& MatrixDimsFromVector =
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input_name == "X" ? RowMatrixDimsFromVector : ColumnMatrixDimsFromVector;
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MatDescriptor mat_dim = CreateMatrixDescriptor(
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MatrixDimsFromVector(new_dims), 0, transpose_input);
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std::vector<int64_t> strides;
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if (!shape.empty()) {
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auto shape2 = input_dims.reshape(shape);
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strides.push_back(1);
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for (auto i = shape2.size() - 1; i > 0; --i) {
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strides.insert(strides.begin(),
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strides.front() * static_cast<int64_t>(shape2[i]));
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}
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strides = TransposeAxis(strides, axis);
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if (shape.size() == 2)
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strides.insert(strides.begin(),
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static_cast<int64_t>(shape[0] * shape[1]));
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mat_dim.stride_ = strides[0];
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if (mat_dim.trans_) std::swap(*strides.rbegin(), *(++strides.rbegin()));
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}
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return strides;
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}
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} // namespace funcs
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} // namespace phi
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