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graphengine/ge/graph/passes/dimension_compute_pass.cc

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1.6 KiB

/**
* Copyright 2020 Huawei Technologies Co., Ltd
*
* 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.
*/
#include "graph/passes/dimension_compute_pass.h"
#include <memory>
#include <vector>
#include "common/debug/log.h"
#include "framework/common/debug/ge_log.h"
#include "framework/common/ge_inner_error_codes.h"
#include "graph/utils/attr_utils.h"
#include "inc/kernel.h"
namespace ge {
Status DimensionComputePass::Run(ge::NodePtr &node) {
GE_CHECK_NOTNULL(node);
auto op_kernel = folding_pass::GetKernelByType(node);
if (op_kernel == nullptr || folding_pass::IsNoNeedConstantFolding(node)) {
return SUCCESS;
}
std::vector<GeTensorPtr> outputs;
auto ret = op_kernel->Compute(node, outputs);
if (ret != SUCCESS) {
if (ret == NOT_CHANGED) {
return SUCCESS;
} else {
GELOGE(ret, "DimensionComputePass Compute failed");
return ret;
}
}
if (outputs.empty()) {
GELOGE(INTERNAL_ERROR,
"Failed to compute dims for node %s,"
" no output weight",
node->GetName().c_str());
return INTERNAL_ERROR;
}
return Folding(node, outputs);
}
} // namespace ge