mindspore2022/mindspore/core/ops/mfcc.cc

/**
 * 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 "ops/mfcc.h"
#include "ops/op_utils.h"
#include "utils/check_convert_utils.h"
#include "abstract/primitive_infer_map.h"

namespace mindspore {
namespace ops {
namespace {
abstract::ShapePtr InferShape(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
  MS_EXCEPTION_IF_NULL(primitive);
  auto mfcc_prim = primitive->cast<PrimMfccPtr>();
  MS_EXCEPTION_IF_NULL(mfcc_prim);
  auto prim_name = mfcc_prim->name();
  auto first_input_shape =
    CheckAndConvertUtils::ConvertShapePtrToShape("first_input_shape", input_args[0]->BuildShape(), prim_name);
  auto second_input_shape =
    CheckAndConvertUtils::ConvertShapePtrToShape("second_input_shape", input_args[1]->BuildShape(), prim_name);
  CheckAndConvertUtils::CheckInteger("first input rank", first_input_shape.size(), kEqual, 3, prim_name);
  CheckAndConvertUtils::CheckInteger("second input rank", second_input_shape.size(), kEqual, 1, prim_name);
  std::vector<int64_t> out_shape = {first_input_shape[0], first_input_shape[1], mfcc_prim->get_dct_coeff_num()};
  return std::make_shared<abstract::Shape>(out_shape);
}

TypePtr InferType(const PrimitivePtr &prim, const std::vector<AbstractBasePtr> &input_args) {
  for (const auto &item : input_args) {
    MS_EXCEPTION_IF_NULL(item);
  }
  auto infer_type = input_args[0]->BuildType()->cast<TensorTypePtr>()->element();
  return infer_type;
}
}  // namespace

void Mfcc::Init(const float freq_upper_limit, const float freq_lower_limit, const int64_t filter_bank_channel_num,
                const int64_t dct_coeff_num) {
  this->set_freq_upper_limit(freq_upper_limit);
  this->set_freq_lower_limit(freq_lower_limit);
  this->set_filter_bank_channel_num(filter_bank_channel_num);
  this->set_dct_coeff_num(dct_coeff_num);
}

void Mfcc::set_freq_upper_limit(const float freq_upper_limit) {
  this->AddAttr(kFreqUpperLimit, MakeValue(freq_upper_limit));
}

float Mfcc::get_freq_upper_limit() const {
  auto value_ptr = this->GetAttr(kFreqUpperLimit);
  return GetValue<float>(value_ptr);
}

void Mfcc::set_freq_lower_limit(const float freq_lower_limit) {
  this->AddAttr(kFreqLowerLimit, MakeValue(freq_lower_limit));
}

float Mfcc::get_freq_lower_limit() const {
  auto value_ptr = this->GetAttr(kFreqLowerLimit);
  return GetValue<float>(value_ptr);
}

void Mfcc::set_filter_bank_channel_num(const int64_t filter_bank_channel_num) {
  this->AddAttr(kFilterBankChannelNum, MakeValue(filter_bank_channel_num));
}

int64_t Mfcc::get_filter_bank_channel_num() const {
  auto value_ptr = this->GetAttr(kFilterBankChannelNum);
  return GetValue<int64_t>(value_ptr);
}

void Mfcc::set_dct_coeff_num(const int64_t dct_coeff_num) { this->AddAttr(kDctCoeffNum, MakeValue(dct_coeff_num)); }

int64_t Mfcc::get_dct_coeff_num() const {
  auto value_ptr = this->GetAttr(kDctCoeffNum);
  return GetValue<int64_t>(value_ptr);
}

AbstractBasePtr MfccInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
                          const std::vector<AbstractBasePtr> &input_args) {
  return std::make_shared<abstract::AbstractTensor>(InferType(primitive, input_args),
                                                    InferShape(primitive, input_args)->shape());
}
REGISTER_PRIMITIVE_EVAL_IMPL(Mfcc, prim::kPrimMfcc, MfccInfer);
REGISTER_PRIMITIVE_C(kNameMfcc, Mfcc);
}  // namespace ops
}  // namespace mindspore