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/**
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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 "c_ops/abs.h"
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namespace mindspore {
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REGISTER_PRIMITIVE_C(kNameAbs, Abs);
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} // namespace mindspore
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@ -1,51 +0,0 @@
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/**
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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 "c_ops/apply_momentum.h"
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#include "c_ops/op_utils.h"
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#include "utils/check_convert_utils.h"
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namespace mindspore {
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void ApplyMomentum::Init(bool use_nesterov, bool use_locking, float gradient_scale) {
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this->set_use_nesterov(use_nesterov);
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this->set_use_locking(use_locking);
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this->set_gradient_scale(gradient_scale);
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}
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void ApplyMomentum::set_use_nesterov(bool use_nesterov) { this->AddAttr(kUseNesterov, MakeValue(use_nesterov)); }
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void ApplyMomentum::set_use_locking(bool use_locking) { this->AddAttr(kUseLocking, MakeValue(use_locking)); }
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void ApplyMomentum::set_gradient_scale(float gradient_scale) {
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this->AddAttr(kGradientScale, MakeValue(gradient_scale));
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}
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bool ApplyMomentum::get_use_nesterov() const {
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auto value_ptr = GetAttr(kUseNesterov);
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return GetValue<bool>(value_ptr);
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}
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bool ApplyMomentum::get_use_locking() const {
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auto value_ptr = GetAttr(kUseLocking);
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return GetValue<bool>(value_ptr);
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}
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float ApplyMomentum::get_gradient_scale() {
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auto value_ptr = GetAttr(kGradientScale);
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return GetValue<float>(value_ptr);
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}
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REGISTER_PRIMITIVE_C(kNameApplyMomentum, ApplyMomentum);
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} // namespace mindspore
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@ -1,54 +0,0 @@
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/**
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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 "c_ops/audio_spectrogram.h"
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#include <string>
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#include <algorithm>
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#include <memory>
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#include <set>
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#include <vector>
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#include "c_ops/op_utils.h"
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#include "utils/check_convert_utils.h"
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#include "abstract/primitive_infer_map.h"
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namespace mindspore {
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void AudioSpectrogram::set_window_size(const int64_t &window_size) {
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this->AddAttr(kWindowSize, MakeValue(window_size));
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}
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int64_t AudioSpectrogram::get_window_size() const {
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auto value_ptr = GetAttr(kWindowSize);
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return GetValue<int64_t>(value_ptr);
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}
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void AudioSpectrogram::set_stride(const int64_t &stride) { this->AddAttr(kStride, MakeValue(stride)); }
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int64_t AudioSpectrogram::get_stride() const {
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auto value_ptr = GetAttr(kStride);
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return GetValue<int64_t>(value_ptr);
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}
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void AudioSpectrogram::set_mag_square(const bool &mag_square) { this->AddAttr(kMagSquare, MakeValue(mag_square)); }
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bool AudioSpectrogram::get_mag_square() const {
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auto value_ptr = GetAttr(kMagSquare);
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return GetValue<bool>(value_ptr);
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}
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void AudioSpectrogram::Init(const int64_t &window_size, const int64_t &stride, const bool &mag_square) {
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this->set_window_size(window_size);
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this->set_stride(stride);
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this->set_mag_square(mag_square);
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}
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REGISTER_PRIMITIVE_C(kNameAudioSpectrogram, AudioSpectrogram);
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} // namespace mindspore
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/**
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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 <string>
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#include <algorithm>
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#include <memory>
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#include <set>
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#include <vector>
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#include "c_ops/batch_norm.h"
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#include "abstract/primitive_infer_map.h"
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#include "utils/check_convert_utils.h"
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namespace mindspore {
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void BatchNorm::Init(bool is_training, float epsilon, const Format &format) {
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set_is_training(is_training);
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set_epsilon(epsilon);
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set_format(format);
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}
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void BatchNorm::set_is_training(bool is_training) { this->AddAttr(kIsTraining, MakeValue(is_training)); }
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void BatchNorm::set_epsilon(float epsilon) {
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CheckAndConvertUtils::CheckInRange(kEpsilon, epsilon, kIncludeBoth, {0.0, 1.0}, this->name());
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this->AddAttr(kEpsilon, MakeValue(epsilon));
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}
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void BatchNorm::set_format(const Format &format) {
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int64_t f = format;
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this->AddAttr(kFormat, MakeValue(f));
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}
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bool BatchNorm::get_is_trainging() {
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auto value_ptr = GetAttr(kIsTraining);
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return GetValue<bool>(value_ptr);
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}
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float BatchNorm::get_epsilon() {
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auto value_ptr = GetAttr(kEpsilon);
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return GetValue<float>(value_ptr);
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}
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Format BatchNorm::get_format() const {
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auto value_ptr = GetAttr(kFormat);
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return Format(GetValue<int64_t>(value_ptr));
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}
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REGISTER_PRIMITIVE_C(kNameBatchNorm, BatchNorm);
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} // namespace mindspore
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/**
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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 "c_ops/batch_norm_fold.h"
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namespace mindspore {
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REGISTER_PRIMITIVE_C(kNameBatchNormFold, BatchNormFold);
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} // namespace mindspore
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/**
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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 "c_ops/binary_cross_entropy_grad.h"
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namespace mindspore {
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void BinaryCrossEntropyGrad::Init(const std::string &reduction) { set_reduction(reduction); }
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void BinaryCrossEntropyGrad::set_reduction(const std::string &reduction) {
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CheckAndConvertUtils::CheckString(kReduction, reduction, {"none", "mean", "sum"}, name());
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this->AddAttr(kReduction, MakeValue(reduction));
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}
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std::string BinaryCrossEntropyGrad::get_reduction() const {
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auto value_ptr = GetAttr(kReduction);
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return GetValue<std::string>(value_ptr);
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}
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REGISTER_PRIMITIVE_C(kNameBinaryCrossEntropyGrad, BinaryCrossEntropyGrad);
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} // namespace mindspore
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/**
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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 "c_ops/broadcast.h"
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#include "c_ops/op_utils.h"
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#include "utils/check_convert_utils.h"
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namespace mindspore {
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void Broadcast::Init(int64_t root_rank, const std::string &group) {
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this->set_root_rank(root_rank);
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this->set_group(group);
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}
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void Broadcast::set_root_rank(int64_t root_rank) { this->AddAttr(kKeepProb, MakeValue(root_rank)); }
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void Broadcast::set_group(const std::string &group) {
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CheckAndConvertUtils::CheckString(kGroup, group, {"hccl_world_group", "hccl_world_group"}, this->name());
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this->AddAttr(kGroup, MakeValue(group));
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}
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int64_t Broadcast::get_root_rank() {
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auto value_ptr = this->GetAttr(kRootRank);
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return GetValue<float>(value_ptr);
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}
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std::string Broadcast::get_group() const {
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auto value_ptr = this->GetAttr(kGroup);
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return GetValue<std::string>(value_ptr);
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}
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REGISTER_PRIMITIVE_C(kNameBroadcast, Broadcast);
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} // namespace mindspore
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/**
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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 "c_ops/ceil.h"
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namespace mindspore {
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REGISTER_PRIMITIVE_C(kNameCeil, Ceil);
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}
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/**
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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 "c_ops/cos.h"
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namespace mindspore {
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REGISTER_PRIMITIVE_C(kNameCos, Cos);
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}
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/**
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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 "c_ops/custom_predict.h"
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#include "c_ops/op_utils.h"
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#include "utils/check_convert_utils.h"
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#include "abstract/primitive_infer_map.h"
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namespace mindspore {
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void CustomPredict::Init(int64_t outputNum, float weight_threshold) {
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this->set_outputNum(outputNum);
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this->set_weight_threshold(weight_threshold);
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}
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void CustomPredict::set_outputNum(int64_t outputNum) { this->AddAttr(kOutputNum, MakeValue(outputNum)); }
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int64_t CustomPredict::get_outputNum() const {
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auto value_ptr = this->GetAttr(kOutputNum);
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return GetValue<int64_t>(value_ptr);
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}
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void CustomPredict::set_weight_threshold(float weight_threshold) {
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this->AddAttr(kWeightThreshold, MakeValue(weight_threshold));
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}
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float CustomPredict::get_weight_threshold() const {
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auto value_ptr = this->GetAttr(kWeightThreshold);
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return GetValue<float>(value_ptr);
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}
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REGISTER_PRIMITIVE_C(kNameCustomPredict, CustomPredict);
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} // namespace mindspore
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/**
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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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* 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
|
||||
* 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.
|
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*/
|
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|
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#include "c_ops/div.h"
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namespace mindspore {
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REGISTER_PRIMITIVE_C(kNameDiv, Div);
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} // namespace mindspore
|
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/**
|
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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");
|
||||
* 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.
|
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*/
|
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#include "c_ops/equal.h"
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namespace mindspore {
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REGISTER_PRIMITIVE_C(kNameEqual, Equal);
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} // namespace mindspore
|
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/**
|
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* Copyright 2020 Huawei Technologies Co., Ltd
|
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*
|
||||
* 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
|
||||
*
|
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* 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.
|
||||
*/
|
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#include "c_ops/exp.h"
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|
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namespace mindspore {
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REGISTER_PRIMITIVE_C(kNameExp, Exp);
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} // namespace mindspore
|
@ -1,44 +0,0 @@
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/**
|
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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.
|
||||
*/
|
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|
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#include "c_ops/fake_quant_with_min_max_vars.h"
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#include "c_ops/op_utils.h"
|
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#include "utils/check_convert_utils.h"
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||||
#include "abstract/primitive_infer_map.h"
|
||||
|
||||
namespace mindspore {
|
||||
void FakeQuantWithMinMaxVars::Init(const bool &narrow_range, int64_t num_bits) {
|
||||
this->set_narrow_range(narrow_range);
|
||||
this->set_num_bits(num_bits);
|
||||
}
|
||||
|
||||
void FakeQuantWithMinMaxVars::set_narrow_range(const bool &narrow_range) {
|
||||
this->AddAttr(kNarrowRange, MakeValue(narrow_range));
|
||||
}
|
||||
|
||||
bool FakeQuantWithMinMaxVars::get_narrow_range() const {
|
||||
auto value_ptr = this->GetAttr(kNarrowRange);
|
||||
return GetValue<bool>(value_ptr);
|
||||
}
|
||||
|
||||
void FakeQuantWithMinMaxVars::set_num_bits(int64_t num_bits) { this->AddAttr(kNumBits, MakeValue(num_bits)); }
|
||||
|
||||
int64_t FakeQuantWithMinMaxVars::get_num_bits() const {
|
||||
auto value_ptr = this->GetAttr(kNumBits);
|
||||
return GetValue<int64_t>(value_ptr);
|
||||
}
|
||||
REGISTER_PRIMITIVE_C(kNameFakeQuantWithMinMaxVars, FakeQuantWithMinMaxVars);
|
||||
} // namespace mindspore
|
@ -1,22 +0,0 @@
|
||||
/**
|
||||
* 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 "c_ops/fft_imag.h"
|
||||
#include <memory>
|
||||
|
||||
namespace mindspore {
|
||||
REGISTER_PRIMITIVE_C(kNameFftImag, FftImag);
|
||||
}
|
@ -1,21 +0,0 @@
|
||||
/**
|
||||
* 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 "c_ops/flatten_grad.h"
|
||||
|
||||
namespace mindspore {
|
||||
REGISTER_PRIMITIVE_C(kNameFlattenGrad, FlattenGrad);
|
||||
}
|
@ -1,22 +0,0 @@
|
||||
/**
|
||||
* 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 "c_ops/hashtable_lookup.h"
|
||||
#include "utils/check_convert_utils.h"
|
||||
|
||||
namespace mindspore {
|
||||
REGISTER_PRIMITIVE_C(kNameHashtableLookup, HashtableLookup);
|
||||
} // namespace mindspore
|
@ -1,21 +0,0 @@
|
||||
/**
|
||||
* 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 "c_ops/less.h"
|
||||
|
||||
namespace mindspore {
|
||||
REGISTER_PRIMITIVE_C(kNameLess, Less);
|
||||
}
|
@ -1,20 +0,0 @@
|
||||
/**
|
||||
* 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 "c_ops/less_equal.h"
|
||||
|
||||
namespace mindspore {
|
||||
REGISTER_PRIMITIVE_C(kNameLessEqual, LessEqual);
|
||||
} // namespace mindspore
|
@ -1,65 +0,0 @@
|
||||
/**
|
||||
* 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 "c_ops/local_response_normalization.h"
|
||||
#include <string>
|
||||
#include <algorithm>
|
||||
#include <memory>
|
||||
#include <set>
|
||||
#include <vector>
|
||||
#include "c_ops/op_utils.h"
|
||||
#include "utils/check_convert_utils.h"
|
||||
#include "abstract/primitive_infer_map.h"
|
||||
|
||||
namespace mindspore {
|
||||
void LocalResponseNormalization::set_depth_radius(const int64_t &depth_radius) {
|
||||
this->AddAttr(kDepthRadius, MakeValue(depth_radius));
|
||||
}
|
||||
|
||||
int64_t LocalResponseNormalization::get_depth_radius() const {
|
||||
auto value_ptr = GetAttr(kDepthRadius);
|
||||
return GetValue<int64_t>(value_ptr);
|
||||
}
|
||||
|
||||
void LocalResponseNormalization::set_bias(const float &bias) { this->AddAttr(kBias, MakeValue(bias)); }
|
||||
|
||||
float LocalResponseNormalization::get_bias() const {
|
||||
auto value_ptr = GetAttr(kBias);
|
||||
return GetValue<float>(value_ptr);
|
||||
}
|
||||
|
||||
void LocalResponseNormalization::set_alpha(const float &alpha) { this->AddAttr(kAlpha, MakeValue(alpha)); }
|
||||
|
||||
float LocalResponseNormalization::get_alpha() const {
|
||||
auto value_ptr = GetAttr(kAlpha);
|
||||
return GetValue<float>(value_ptr);
|
||||
}
|
||||
|
||||
void LocalResponseNormalization::set_beta(const float &beta) { this->AddAttr(kBeta, MakeValue(beta)); }
|
||||
|
||||
float LocalResponseNormalization::get_beta() const {
|
||||
auto value_ptr = GetAttr(kBeta);
|
||||
return GetValue<float>(value_ptr);
|
||||
}
|
||||
void LocalResponseNormalization::Init(const int64_t &depth_radius, const float &bias, const float &alpha,
|
||||
const float &beta) {
|
||||
this->set_depth_radius(depth_radius);
|
||||
this->set_bias(bias);
|
||||
this->set_alpha(alpha);
|
||||
this->set_beta(beta);
|
||||
}
|
||||
REGISTER_PRIMITIVE_C(kNameLocalResponseNormalization, LocalResponseNormalization);
|
||||
} // namespace mindspore
|
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Reference in new issue