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84 lines
2.6 KiB
84 lines
2.6 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/size_kernel.h"
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#include <climits>
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#include <memory>
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#include "common/debug/log.h"
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#include "common/op/ge_op_utils.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 "framework/common/types.h"
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#include "framework/common/util.h"
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#include "host_kernels/kernel_utils.h"
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#include "graph/passes/pass_utils.h"
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#include "inc/kernel_factory.h"
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#include "omg/omg_inner_types.h"
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namespace ge {
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namespace {
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const size_t kSizeInputSize = 1;
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const size_t kSizeOutputSize = 1;
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} // namespace
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Status SizeKernel::Compute(const NodePtr &node, std::vector<GeTensorPtr> &v_output) {
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GELOGD("SizeKernel in");
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if (node == nullptr) {
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GELOGE(FAILED, "parameter is null.");
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return FAILED;
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}
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OpDescPtr op_desc = node->GetOpDesc();
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if (op_desc == nullptr) {
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GELOGE(PARAM_INVALID, "node:%s opdesc is null", node->GetName().c_str());
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return PARAM_INVALID;
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}
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bool size_check = ((op_desc->GetInputsSize() != kSizeInputSize) || (op_desc->GetOutputsSize() != kSizeOutputSize));
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if (size_check) {
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GELOGW("SizeKernel input size check fail, GetInputsSize:%zu", op_desc->GetInputsSize());
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return NOT_CHANGED;
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}
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if (KernelUtils::IsUnknownShape(op_desc->GetInputDesc(0).GetShape())) {
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GELOGW("Input shape is unknown, ignore size kernel.");
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return NOT_CHANGED;
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}
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int64_t size = 1;
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// Calculate the number of elements of the sensor
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for (int64_t dim : op_desc->GetInputDesc(0).GetShape().GetDims()) {
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if (!CheckInt64MulOverflow(size, dim)) {
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GELOGE(INTERNAL_ERROR, "int64 overflow!");
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return INTERNAL_ERROR;
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}
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size *= dim;
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}
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std::vector<int64_t> data{size};
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Status ret = PassUtils::ConstructTensorDescWithData(op_desc->GetOutputDesc(0), data, v_output, true);
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if (ret != SUCCESS) {
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GELOGE(ret, "Size kernel construct tensor desc fail.");
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return ret;
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}
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GELOGD("Size kernel success");
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return SUCCESS;
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}
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REGISTER_KERNEL(SIZE, SizeKernel);
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} // namespace ge
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