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- /**
- * 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 "host_kernels/concat_offset_kernel.h"
-
- #include <memory>
-
- #include "common/ge_inner_error_codes.h"
- #include "common/op/ge_op_utils.h"
- #include "common/types.h"
- #include "framework/common/debug/ge_log.h"
- #include "graph/utils/type_utils.h"
- #include "inc/kernel_factory.h"
-
- namespace ge {
- namespace {
- const size_t kConcatOffsetInputIndexZero = 0;
- const size_t kConcatOffsetInputIndexOne = 1;
- const int kNumOne = 1;
- } // namespace
- Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<ConstGeTensorPtr> &input,
- vector<GeTensorPtr> &v_output) {
- GELOGI("ConcatOffsetKernel in.");
- if (op_desc_ptr == nullptr) {
- GELOGE(PARAM_INVALID, "input opdesc is nullptr.");
- return PARAM_INVALID;
- }
- // validate attrs
- int N = 0;
- if (!(AttrUtils::GetInt(op_desc_ptr, "N", N))) {
- GELOGW("Attr %s does not exist.", "N");
- return NOT_CHANGED;
- }
- // follow IR def, the first input is concat_dim
- ConstGeTensorPtr input_0 = input[kConcatOffsetInputIndexZero];
- GE_CHECK_NOTNULL(input_0);
- int32_t concat_dim = *(const_cast<int32_t *>(reinterpret_cast<const int32_t *>(input_0->GetData().data())));
- // validate inputs
- if ((static_cast<int>(input.size()) != (N + kNumOne)) || (input.size() <= kConcatOffsetInputIndexOne)) {
- GELOGW("The number of input for concat offset must be equal to %d, and must be more than one.", (N + kNumOne));
- return NOT_CHANGED;
- }
-
- // calculate ouput dim
- GeShape output_shape = input[kConcatOffsetInputIndexOne]->GetTensorDesc().GetShape();
- int64_t output_size = output_shape.GetShapeSize();
- if (concat_dim >= output_size) {
- GELOGW("Concat dim is bigger than the size of output_shape.");
- return NOT_CHANGED;
- }
- GELOGI("Output shape size is %ld", output_size);
- int32_t offset = 0;
- if (output_size < 0) {
- GELOGE(FAILED, "Index is negative.");
- return FAILED;
- }
- unique_ptr<int32_t[]> buf(new (std::nothrow) int32_t[output_size]());
- if (buf == nullptr) {
- GELOGE(MEMALLOC_FAILED, "new buf failed");
- return INTERNAL_ERROR;
- }
- for (size_t i = 0; i < static_cast<size_t>(N); i++) {
- buf[concat_dim] = offset;
- // generate output, index 0 can always gets a GeTensorDesc object from any OpDescPtr.
- auto output_tensor_desc = op_desc_ptr->GetOutputDesc(0);
- GeTensorPtr output_ptr = MakeShared<GeTensor>(output_tensor_desc);
- if (output_ptr == nullptr) {
- GELOGW("Failed to fold node %s, out of memeory", op_desc_ptr->GetName().c_str());
- return NOT_CHANGED;
- }
-
- output_ptr->MutableTensorDesc().SetDataType(DT_INT32);
- output_ptr->MutableTensorDesc().SetShape(output_shape);
- GE_IF_BOOL_EXEC(output_ptr->SetData(reinterpret_cast<uint8_t *>(buf.get()),
- static_cast<size_t>(sizeof(DT_INT32) * output_size)) != GRAPH_SUCCESS,
- GELOGW("set data failed");
- return NOT_CHANGED);
- v_output.push_back(output_ptr);
- // caculate offset
- const int32_t *input_shape =
- reinterpret_cast<const int32_t *>(input[i + kConcatOffsetInputIndexOne]->GetData().data());
- int64_t input_dim = input_shape[concat_dim]; // this index is valid, checked before
- if (input_dim > (INT64_MAX - offset)) {
- GELOGE(PARAM_INVALID, " %d and %ld addition can result in overflow!.", offset, input_dim);
- return INTERNAL_ERROR;
- }
- offset += input_dim;
- }
- GELOGI("ConcatOffsetKernel success.");
- return SUCCESS;
- }
- REGISTER_KERNEL(CONCATOFFSET, ConcatOffsetKernel);
- } // namespace ge
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