// Copyright (c) 2020 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 #include #include #include "paddle/fluid/framework/convert_utils.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/tensor_util.h" #include "paddle/fluid/operators/assign_value_op.h" #include "paddle/fluid/operators/eigen/eigen_function.h" #include "paddle/fluid/operators/elementwise/elementwise_op_function.h" #include "paddle/fluid/operators/utils.h" #include "paddle/fluid/platform/enforce.h" #include "paddle/phi/kernels/funcs/slice_utils.h" namespace paddle { namespace operators { using DDim = framework::DDim; // check whether the tensor with dimension of second can assign to the // tensor with dimension of first inline void CheckIsDimsMatch(const framework::DDim first, const framework::DDim second) { int ignore_axis1 = 0, ignore_axis2 = 0; for (; ignore_axis1 < first.size(); ++ignore_axis1) { if (first[ignore_axis1] != 1) { break; } } for (; ignore_axis2 < second.size(); ++ignore_axis2) { if (second[ignore_axis2] != 1) { break; } } if (second.size() == ignore_axis2) { // second tensor has only one value return; } if (first.size() - ignore_axis1 >= second.size() - ignore_axis2) { auto idx1 = first.size() - 1; auto idx2 = second.size() - 1; bool is_match = true; for (; idx2 >= ignore_axis2; idx2--) { if (first[idx1--] != second[idx2] && second[idx2] != 1) { is_match = false; break; } } if (is_match) { return; } } PADDLE_THROW(platform::errors::InvalidArgument( "The shape of tensor assigned value must match the shape " "of target shape: %d, but now shape is %d.", second.to_str(), first.to_str())); } } // namespace operators } // namespace paddle