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89 lines
3.2 KiB
89 lines
3.2 KiB
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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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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*/
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#include "host_kernels/broadcast_gradient_args_kernel.h"
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#include <vector>
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#include "common/op/ge_op_utils.h"
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#include "common/types.h"
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#include "common/util.h"
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#include "framework/common/debug/ge_log.h"
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#include "framework/common/ge_inner_error_codes.h"
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#include "graph/common/bcast.h"
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#include "graph/passes/pass_utils.h"
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#include "inc/kernel_factory.h"
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namespace ge {
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namespace {
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const size_t kBCastGradArgsInputsSize = 2;
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const size_t kBCastGradArgsOutputsSize = 2;
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} // namespace
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Status BroadcastGradientArgsKernel::Compute(const OpDescPtr op_desc_ptr, const std::vector<ConstGeTensorPtr> &input,
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std::vector<GeTensorPtr> &v_output) {
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GELOGD("BroadcastGradientArgs kernel in");
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if (op_desc_ptr == nullptr) {
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GELOGE(PARAM_INVALID, "Parameter's invalid, Input opDescPtr is nullptr.");
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return PARAM_INVALID;
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}
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// check input size
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bool size_check_fail =
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(op_desc_ptr->GetAllInputsDesc().size() != kBCastGradArgsInputsSize || input.size() != kBCastGradArgsInputsSize ||
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op_desc_ptr->GetAllOutputsDesc().size() != kBCastGradArgsOutputsSize);
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if (size_check_fail) {
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GELOGW(
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"input/output size error. InDesc size:%zu,"
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"OutDesc size:%zu, in size:%zu ",
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op_desc_ptr->GetAllInputsDesc().size(), op_desc_ptr->GetAllOutputsDesc().size(), input.size());
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return NOT_CHANGED;
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}
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vector<int64_t> x1_dims;
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vector<int64_t> x2_dims;
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DataType x1_data_type = op_desc_ptr->GetInputDesc(0).GetDataType();
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DataType x2_data_type = op_desc_ptr->GetInputDesc(1).GetDataType();
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bool result = (OpUtils::GetShapeDataFromConstTensor(input[0], x1_data_type, x1_dims) == SUCCESS) &&
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(OpUtils::GetShapeDataFromConstTensor(input[1], x2_data_type, x2_dims) == SUCCESS);
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if (!result) {
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GELOGE(PARAM_INVALID, "Get shape data from const tensor fail.");
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return PARAM_INVALID;
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}
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BCast bcast;
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Status ret = bcast.GenerateBcastInfo(x1_dims, x2_dims);
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if (ret != SUCCESS) {
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GELOGE(ret, "Generate bcast info fail.");
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return ret;
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}
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vector<vector<int64_t>> grad_reduce_idx;
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grad_reduce_idx.push_back(bcast.GetGradXReduceIdx());
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grad_reduce_idx.push_back(bcast.GetGradYReduceIdx());
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for (size_t i = 0; i < grad_reduce_idx.size(); i++) {
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ret = PassUtils::ConstructTensorDescWithData(op_desc_ptr->GetOutputDesc(i), grad_reduce_idx[i], v_output);
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if (ret != SUCCESS) {
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GELOGE(ret, "BroadcastGradientArgs kernel construct tensor desc fail");
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return ret;
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}
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}
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return SUCCESS;
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}
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REGISTER_KERNEL(BROADCASTGRADIENTARGS, BroadcastGradientArgsKernel);
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} // namespace ge
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