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196 lines
7.0 KiB
196 lines
7.0 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/maximum_kernel.h"
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#include <memory>
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#include <set>
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#include "common/debug/log.h"
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#include "common/fp16_t.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/utils/type_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 kMaximumInputNum = 2;
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const size_t kMaximumFirstInput = 0;
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const size_t kMaximumSecondInput = 1;
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const size_t kMaximumFirstOutput = 0;
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const std::set<DataType> kMaximumSupportedType = {DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8,
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DT_INT32, DT_INT64, DT_UINT32, DT_UINT64, DT_DOUBLE};
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#define DEFINE_FUNC_BY_TYPE(TYPE) \
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std::function<TYPE(TYPE const &, TYPE const &)> func_##TYPE = [](TYPE const &a, TYPE const &b) -> TYPE { \
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return (a > b ? a : b); \
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};
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#define SET_BCAST_COMPUTE_CASE(DTYPE, TYPE) \
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case DTYPE: \
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ret = bcast.BCastCompute(input, y_data_##TYPE, func_##TYPE); \
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break;
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#define SET_OUTPUT(DTYPE, TYPE) \
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case DTYPE: \
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if (output_ptr->SetData(reinterpret_cast<uint8_t *>(y_data_##TYPE.data()), y_data_##TYPE.size() * length) != \
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GRAPH_SUCCESS) { \
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GELOGW("GenData: SetData failed"); \
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} \
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break;
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DEFINE_FUNC_BY_TYPE(int8_t)
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DEFINE_FUNC_BY_TYPE(int16_t)
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DEFINE_FUNC_BY_TYPE(int32_t)
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DEFINE_FUNC_BY_TYPE(int64_t)
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DEFINE_FUNC_BY_TYPE(uint8_t)
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DEFINE_FUNC_BY_TYPE(uint16_t)
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DEFINE_FUNC_BY_TYPE(uint32_t)
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DEFINE_FUNC_BY_TYPE(uint64_t)
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DEFINE_FUNC_BY_TYPE(fp16_t)
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DEFINE_FUNC_BY_TYPE(float)
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DEFINE_FUNC_BY_TYPE(double)
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} // namespace
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Status MaximumKernel::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("MaximumKernel 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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Status ret = MaximumCheck(input);
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if (ret != SUCCESS) {
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return ret;
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}
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std::vector<int8_t> y_data_int8_t;
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std::vector<int16_t> y_data_int16_t;
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std::vector<int32_t> y_data_int32_t;
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std::vector<int64_t> y_data_int64_t;
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std::vector<uint8_t> y_data_uint8_t;
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std::vector<uint16_t> y_data_uint16_t;
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std::vector<uint32_t> y_data_uint32_t;
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std::vector<uint64_t> y_data_uint64_t;
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std::vector<fp16_t> y_data_fp16_t;
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std::vector<float> y_data_float;
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std::vector<double> y_data_double;
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if (input.empty()) {
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GELOGE(FAILED, "input is empty.");
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return FAILED;
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}
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DataType data_type = input[kMaximumFirstInput]->GetTensorDesc().GetDataType();
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BCast bcast;
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switch (data_type) {
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SET_BCAST_COMPUTE_CASE(DT_INT8, int8_t)
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SET_BCAST_COMPUTE_CASE(DT_INT16, int16_t)
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SET_BCAST_COMPUTE_CASE(DT_INT32, int32_t)
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SET_BCAST_COMPUTE_CASE(DT_INT64, int64_t)
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SET_BCAST_COMPUTE_CASE(DT_UINT8, uint8_t)
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SET_BCAST_COMPUTE_CASE(DT_UINT16, uint16_t)
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SET_BCAST_COMPUTE_CASE(DT_UINT32, uint32_t)
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SET_BCAST_COMPUTE_CASE(DT_UINT64, uint64_t)
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SET_BCAST_COMPUTE_CASE(DT_FLOAT16, fp16_t)
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SET_BCAST_COMPUTE_CASE(DT_FLOAT, float)
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SET_BCAST_COMPUTE_CASE(DT_DOUBLE, double)
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default:
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ret = NOT_CHANGED;
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break;
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}
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if (ret != SUCCESS) {
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GELOGW("BCastCompute fail, data_type: %s, ret: %s", TypeUtils::DataTypeToSerialString(data_type).c_str(),
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GET_ERRORNO_STR(ret).c_str());
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return NOT_CHANGED;
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}
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uint32_t length = 1;
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if (!TypeUtils::GetDataTypeLength(data_type, length)) {
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GELOGW("Can't GetDataTypeLength of data_type: %s", TypeUtils::DataTypeToSerialString(data_type).c_str());
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return NOT_CHANGED;
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}
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GeTensorPtr output_ptr = MakeShared<GeTensor>(op_desc_ptr->GetOutputDesc(kMaximumFirstOutput));
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if (output_ptr == nullptr) {
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GELOGE(MEMALLOC_FAILED, "Make shared failed");
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return MEMALLOC_FAILED;
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}
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output_ptr->MutableTensorDesc().SetShape(GeShape(bcast.GetOutputShape()));
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// only return GRAPH_SUCCESS here
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switch (data_type) {
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SET_OUTPUT(DT_INT8, int8_t)
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SET_OUTPUT(DT_INT16, int16_t)
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SET_OUTPUT(DT_INT32, int32_t)
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SET_OUTPUT(DT_INT64, int64_t)
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SET_OUTPUT(DT_UINT8, uint8_t)
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SET_OUTPUT(DT_UINT16, uint16_t)
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SET_OUTPUT(DT_UINT32, uint32_t)
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SET_OUTPUT(DT_UINT64, uint64_t)
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SET_OUTPUT(DT_FLOAT16, fp16_t)
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SET_OUTPUT(DT_FLOAT, float)
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SET_OUTPUT(DT_DOUBLE, double)
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default:
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break;
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}
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output_ptr->MutableTensorDesc().SetDataType(data_type);
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v_output.push_back(output_ptr);
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GELOGD("MaximumKernel success");
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return SUCCESS;
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}
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Status MaximumKernel::MaximumCheck(const std::vector<ConstGeTensorPtr> &input) {
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// check input number
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if (input.size() != kMaximumInputNum) {
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GELOGI("The number of input for Maximum must be %zu.", kMaximumInputNum);
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return NOT_CHANGED;
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}
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ConstGeTensorPtr input_x1 = input.at(kMaximumFirstInput);
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ConstGeTensorPtr input_x2 = input.at(kMaximumSecondInput);
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GE_CHECK_NOTNULL(input_x1);
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GE_CHECK_NOTNULL(input_x2);
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// check whether there is data in Tensor
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if ((input_x1->GetData().size() == 0) || (input_x2->GetData().size() == 0)) {
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GELOGI("Check data size fail. x1: %zu, x2: %zu", input_x1->GetData().size(), input_x2->GetData().size());
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return NOT_CHANGED;
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}
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// check whether the data types are the same
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DataType type = input_x1->GetTensorDesc().GetDataType();
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if (type != input_x2->GetTensorDesc().GetDataType()) {
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GELOGI("Data type of inputs for Maximum not matched.");
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return NOT_CHANGED;
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}
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// check if input data type is supported
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if (kMaximumSupportedType.find(type) == kMaximumSupportedType.end()) {
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GELOGI("Maximum does not support this Data type: %s", TypeUtils::DataTypeToSerialString(type).c_str());
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return NOT_CHANGED;
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}
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return SUCCESS;
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}
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REGISTER_KERNEL(MAXIMUM, MaximumKernel);
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} // namespace ge
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