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[feat][assistant][I3J6TW] add new data operator BassBiquad

This commit is contained in:
li-qiyao 2021-08-03 19:40:12 -07:00
parent 15e30fa256
commit ba326d76a8
14 changed files with 521 additions and 1 deletions
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18
mindspore/ccsrc/minddata/dataset/api/audio.cc Executable file → Normal file
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@ -20,6 +20,7 @@
#include "minddata/dataset/audio/ir/kernels/band_biquad_ir.h"
#include "minddata/dataset/audio/ir/kernels/bandpass_biquad_ir.h"
#include "minddata/dataset/audio/ir/kernels/bandreject_biquad_ir.h"
#include "minddata/dataset/audio/ir/kernels/bass_biquad_ir.h"
namespace mindspore {
namespace dataset {
@ -91,6 +92,23 @@ BandrejectBiquad::BandrejectBiquad(int32_t sample_rate, float central_freq, floa
std::shared_ptr<TensorOperation> BandrejectBiquad::Parse() {
return std::make_shared<BandrejectBiquadOperation>(data_->sample_rate_, data_->central_freq_, data_->Q_);
}
// BassBiquad Transform Operation.
struct BassBiquad::Data {
Data(int32_t sample_rate, float gain, float central_freq, float Q)
: sample_rate_(sample_rate), gain_(gain), central_freq_(central_freq), Q_(Q) {}
int32_t sample_rate_;
float gain_;
float central_freq_;
float Q_;
};
BassBiquad::BassBiquad(int32_t sample_rate, float gain, float central_freq, float Q)
: data_(std::make_shared<Data>(sample_rate, gain, central_freq, Q)) {}
std::shared_ptr<TensorOperation> BassBiquad::Parse() {
return std::make_shared<BassBiquadOperation>(data_->sample_rate_, data_->gain_, data_->central_freq_, data_->Q_);
}
} // namespace audio
} // namespace dataset
} // namespace mindspore

12
mindspore/ccsrc/minddata/dataset/api/python/bindings/dataset/audio/kernels/ir/bindings.cc Executable file → Normal file
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@ -21,6 +21,7 @@
#include "minddata/dataset/audio/ir/kernels/band_biquad_ir.h"
#include "minddata/dataset/audio/ir/kernels/bandpass_biquad_ir.h"
#include "minddata/dataset/audio/ir/kernels/bandreject_biquad_ir.h"
#include "minddata/dataset/audio/ir/kernels/bass_biquad_ir.h"
#include "minddata/dataset/include/dataset/transforms.h"
namespace mindspore {
@ -69,5 +70,16 @@ PYBIND_REGISTER(BandrejectBiquadOperation, 1, ([](const py::module *m) {
}));
}));
PYBIND_REGISTER(
BassBiquadOperation, 1, ([](const py::module *m) {
(void)py::class_<audio::BassBiquadOperation, TensorOperation, std::shared_ptr<audio::BassBiquadOperation>>(
*m, "BassBiquadOperation")
.def(py::init([](int32_t sample_rate, float gain, float central_freq, float Q) {
auto bass_biquad = std::make_shared<audio::BassBiquadOperation>(sample_rate, gain, central_freq, Q);
THROW_IF_ERROR(bass_biquad->ValidateParams());
return bass_biquad;
}));
}));
} // namespace dataset
} // namespace mindspore

1
mindspore/ccsrc/minddata/dataset/audio/ir/kernels/CMakeLists.txt
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@ -6,4 +6,5 @@ add_library(audio-ir-kernels OBJECT
band_biquad_ir.cc
bandpass_biquad_ir.cc
bandreject_biquad_ir.cc
bass_biquad_ir.cc
)

52
mindspore/ccsrc/minddata/dataset/audio/ir/kernels/bass_biquad_ir.cc Normal file
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@ -0,0 +1,52 @@
/**
* Copyright 2021 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 "minddata/dataset/audio/ir/kernels/bass_biquad_ir.h"
#include "minddata/dataset/audio/kernels/bass_biquad_op.h"
#include "minddata/dataset/audio/ir/validators.h"
namespace mindspore {
namespace dataset {
namespace audio {
// BassBiquadOperation
BassBiquadOperation::BassBiquadOperation(int32_t sample_rate, float gain, float central_freq, float Q)
: sample_rate_(sample_rate), gain_(gain), central_freq_(central_freq), Q_(Q) {}
Status BassBiquadOperation::ValidateParams() {
RETURN_IF_NOT_OK(ValidateScalar("BassBiquad", "Q", Q_, {0, 1.0}, true, false));
RETURN_IF_NOT_OK(CheckScalarNotZero("BassBiquad", "sample_rate", sample_rate_));
return Status::OK();
}
std::shared_ptr<TensorOp> BassBiquadOperation::Build() {
std::shared_ptr<BassBiquadOp> tensor_op = std::make_shared<BassBiquadOp>(sample_rate_, gain_, central_freq_, Q_);
return tensor_op;
}
Status BassBiquadOperation::to_json(nlohmann::json *out_json) {
nlohmann::json args;
args["sample_rate"] = sample_rate_;
args["gain"] = gain_;
args["central_freq"] = central_freq_;
args["Q"] = Q_;
*out_json = args;
return Status::OK();
}
} // namespace audio
} // namespace dataset
} // namespace mindspore

61
mindspore/ccsrc/minddata/dataset/audio/ir/kernels/bass_biquad_ir.h Normal file
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@ -0,0 +1,61 @@
/**
* Copyright 2021 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.
*/
#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_IR_KERNELS_BASS_BIQUAD_IR_H_
#define MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_IR_KERNELS_BASS_BIQUAD_IR_H_
#include <memory>
#include <string>
#include <utility>
#include <vector>
#include "include/api/status.h"
#include "minddata/dataset/include/dataset/constants.h"
#include "minddata/dataset/include/dataset/transforms.h"
#include "minddata/dataset/kernels/ir/tensor_operation.h"
namespace mindspore {
namespace dataset {
namespace audio {
// Char arrays storing name of corresponding classes (in alphabetical order)
constexpr char kBassBiquadOperation[] = "BassBiquad";
class BassBiquadOperation : public TensorOperation {
public:
explicit BassBiquadOperation(int32_t sample_rate, float gain, float central_freq, float Q);
~BassBiquadOperation() = default;
std::shared_ptr<TensorOp> Build() override;
Status ValidateParams() override;
std::string Name() const override { return kBassBiquadOperation; }
Status to_json(nlohmann::json *out_json) override;
private:
int32_t sample_rate_;
float gain_;
float central_freq_;
float Q_;
};
} // namespace audio
} // namespace dataset
} // namespace mindspore
#endif // MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_IR_KERNELS_BASS_BIQUAD_IR_H_

1
mindspore/ccsrc/minddata/dataset/audio/kernels/CMakeLists.txt
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@ -6,4 +6,5 @@ add_library(audio-kernels OBJECT
band_biquad_op.cc
bandpass_biquad_op.cc
bandreject_biquad_op.cc
bass_biquad_op.cc
)

61
mindspore/ccsrc/minddata/dataset/audio/kernels/bass_biquad_op.cc Normal file
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@ -0,0 +1,61 @@
/**
* Copyright 2021 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 "minddata/dataset/audio/kernels/bass_biquad_op.h"
#include "minddata/dataset/audio/kernels/audio_utils.h"
#include "minddata/dataset/util/status.h"
namespace mindspore {
namespace dataset {
Status BassBiquadOp::Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) {
IO_CHECK(input, output);
TensorShape input_shape = input->shape();
CHECK_FAIL_RETURN_UNEXPECTED(input_shape.Size() > 0, "BassBiquad: input dimension should be greater than 0.");
// check input type, it should be DE_FLOAT32 or DE_FLOAT16 or DE_FLOAT64
CHECK_FAIL_RETURN_UNEXPECTED(input->type() == DataType(DataType::DE_FLOAT32) ||
input->type() == DataType(DataType::DE_FLOAT16) ||
input->type() == DataType(DataType::DE_FLOAT64),
"BassBiquad: input type should be float, but got " + input->type().ToString());
double w0 = 2 * PI * central_freq_ / sample_rate_;
double alpha = sin(w0) / 2 / Q_;
double A = exp(gain_ / 40 * log(10));
double temp1 = 2 * sqrt(A) * alpha;
double temp2 = (A - 1) * cos(w0);
double temp3 = (A + 1) * cos(w0);
double b0 = A * ((A + 1) - temp2 + temp1);
double b1 = 2 * A * ((A - 1) - temp3);
double b2 = A * ((A + 1) - temp2 - temp1);
double a0 = (A + 1) + temp2 + temp1;
double a1 = -2 * ((A - 1) + temp3);
double a2 = (A + 1) + temp2 - temp1;
if (input->type() == DataType(DataType::DE_FLOAT32))
return Biquad(input, output, static_cast<float>(b0 / a0), static_cast<float>(b1 / a0), static_cast<float>(b2 / a0),
static_cast<float>(1.0), static_cast<float>(a1 / a0), static_cast<float>(a2 / a0));
else if (input->type() == DataType(DataType::DE_FLOAT64))
return Biquad(input, output, static_cast<double>(b0 / a0), static_cast<double>(b1 / a0),
static_cast<double>(b2 / a0), static_cast<double>(1.0), static_cast<double>(a1 / a0),
static_cast<double>(a2 / a0));
else
return Biquad(input, output, static_cast<float16>(b0 / a0), static_cast<float16>(b1 / a0),
static_cast<float16>(b2 / a0), static_cast<float16>(1.0), static_cast<float16>(a1 / a0),
static_cast<float16>(a2 / a0));
}
} // namespace dataset
} // namespace mindspore

54
mindspore/ccsrc/minddata/dataset/audio/kernels/bass_biquad_op.h Normal file
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@ -0,0 +1,54 @@
/**
* Copyright 2021 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.
*/
#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_KERNELS_BASS_BIQUAD_OP_H_
#define MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_KERNELS_BASS_BIQUAD_OP_H_
#include <memory>
#include <string>
#include <vector>
#include "minddata/dataset/core/tensor.h"
#include "minddata/dataset/kernels/tensor_op.h"
#include "minddata/dataset/util/status.h"
namespace mindspore {
namespace dataset {
class BassBiquadOp : public TensorOp {
public:
BassBiquadOp(int32_t sample_rate, float gain, float central_freq, float Q)
: sample_rate_(sample_rate), gain_(gain), central_freq_(central_freq), Q_(Q) {}
~BassBiquadOp() override = default;
void Print(std::ostream &out) const override {
out << Name() << ": sample_rate: " << sample_rate_ << ", gain:" << gain_ << ", central_freq: " << central_freq_
<< ", Q: " << Q_ << std::endl;
}
Status Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) override;
std::string Name() const override { return kBassBiquadOp; }
private:
int32_t sample_rate_;
float gain_;
float central_freq_;
float Q_;
};
} // namespace dataset
} // namespace mindspore
#endif // MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_KERNELS_BASS_BIQUAD_OP_H_

22
mindspore/ccsrc/minddata/dataset/include/dataset/audio.h Executable file → Normal file
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@ -124,6 +124,28 @@ class BandrejectBiquad final : public TensorTransform {
std::shared_ptr<Data> data_;
};
/// \brief Design a bass tone-control effect.
class BassBiquad final : public TensorTransform {
public:
/// \brief Constructor.
/// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz).
/// \param[in] gain Desired gain at the boost (or attenuation) in dB.
/// \param[in] central_freq Central frequency (in Hz).
/// \param[in] Q https://en.wikipedia.org/wiki/Q_factor (Default: 0.707).
explicit BassBiquad(int32_t sample_rate, float gain, float central_freq = 100, float Q = 0.707);
/// \brief Destructor.
~BassBiquad() = default;
protected:
/// \brief Function to convert TensorTransform object into a TensorOperation object.
/// \return Shared pointer to TensorOperation object.
std::shared_ptr<TensorOperation> Parse() override;
private:
struct Data;
std::shared_ptr<Data> data_;
};
} // namespace audio
} // namespace dataset
} // namespace mindspore

1
mindspore/ccsrc/minddata/dataset/kernels/tensor_op.h
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@ -141,6 +141,7 @@ constexpr char kAllpassBiquadOp[] = "AllpassBiquadOp";
constexpr char kBandBiquadOp[] = "BandBiquadOp";
constexpr char kBandpassBiquadOp[] = "BandpassBiquadOp";
constexpr char kBandrejectBiquadOp[] = "BandrejectBiquadOp";
constexpr char kBassBiquadOp[] = "BassBiquadOp";
// data
constexpr char kConcatenateOp[] = "ConcatenateOp";

32
mindspore/dataset/audio/transforms.py Executable file → Normal file
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@ -20,7 +20,8 @@ to improve their training models.
import mindspore._c_dataengine as cde
import numpy as np
from ..transforms.c_transforms import TensorOperation
from .validators import check_allpass_biquad, check_band_biquad, check_bandpass_biquad, check_bandreject_biquad
from .validators import check_allpass_biquad, check_band_biquad, check_bandpass_biquad, check_bandreject_biquad, \
check_bass_biquad
class AudioTensorOperation(TensorOperation):
@ -163,3 +164,32 @@ class BandrejectBiquad(AudioTensorOperation):
def parse(self):
return cde.BandrejectBiquadOperation(self.sample_rate, self.central_freq, self.Q)
class BassBiquad(AudioTensorOperation):
"""
Design a bass tone-control effect for audio waveform of dimension of `(..., time)`
Args:
sample_rate (int): sampling rate of the waveform, e.g. 44100 (Hz)
gain (float): desired gain at the boost (or attenuation) in dB.
central_freq (float): central frequency (in Hz)(Default=100.0).
Q(float, optional): Quality factor, https://en.wikipedia.org/wiki/Q_factor, Range: (0, 1] (Default=0.707).
Examples:
>>> import mindspore.dataset.audio.transforms as audio
>>> import numpy as np
>>> waveform = np.array([[2.716064453125e-03, 6.34765625e-03],[9.246826171875e-03, 1.0894775390625e-02]])
>>> bass_biquad_op = audio.BassBiquad(44100, 100.0)
>>> waveform_filtered = bass_biquad_op(waveform)
"""
@check_bass_biquad
def __init__(self, sample_rate, gain, central_freq=100.0, Q=0.707):
self.sample_rate = sample_rate
self.gain = gain
self.central_freq = central_freq
self.Q = Q
def parse(self):
return cde.BassBiquadOperation(self.sample_rate, self.gain, self.central_freq, self.Q)

22
mindspore/dataset/audio/validators.py Executable file → Normal file
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@ -49,6 +49,12 @@ def check_biquad_const_skirt_gain(const_skirt_gain):
type_check(const_skirt_gain, (bool,), "const_skirt_gain")
def check_biquad_gain(gain):
"""Wrapper method to check the parameters of gain."""
type_check(gain, (float, int), "gain")
check_float32(gain, "gain")
def check_band_biquad(method):
"""Wrapper method to check the parameters of BandBiquad."""
@ -109,3 +115,19 @@ def check_bandreject_biquad(method):
return method(self, *args, **kwargs)
return new_method
def check_bass_biquad(method):
"""Wrapper method to check the parameters of CutMixBatch."""
@wraps(method)
def new_method(self, *args, **kwargs):
[sample_rate, gain, central_freq, Q], _ = parse_user_args(
method, *args, **kwargs)
check_biquad_sample_rate(sample_rate)
check_biquad_gain(gain)
check_biquad_central_freq(central_freq)
check_biquad_Q(Q)
return method(self, *args, **kwargs)
return new_method

68
tests/ut/cpp/dataset/c_api_audio_a_to_q_test.cc
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@ -301,3 +301,71 @@ TEST_F(MindDataTestPipeline, Level0_TestBandrejectBiquad002) {
std::shared_ptr<Iterator> iter02 = ds02->CreateIterator();
EXPECT_EQ(iter02, nullptr);
}
TEST_F(MindDataTestPipeline, Level0_TestBassBiquad001) {
MS_LOG(INFO) << "Basic Function Test";
// Original waveform
std::shared_ptr<SchemaObj> schema = Schema();
ASSERT_OK(schema->add_column("inputData", mindspore::DataType::kNumberTypeFloat32, {2, 200}));
std::shared_ptr<Dataset> ds = RandomData(50, schema);
EXPECT_NE(ds, nullptr);
ds = ds->SetNumWorkers(4);
EXPECT_NE(ds, nullptr);
auto BassBiquadOp = audio::BassBiquad(44100,50,200.0);
ds = ds->Map({BassBiquadOp});
EXPECT_NE(ds, nullptr);
// Filtered waveform by bassbiquad
std::shared_ptr<Iterator> iter = ds->CreateIterator();
EXPECT_NE(ds, nullptr);
std::unordered_map<std::string, mindspore::MSTensor> row;
ASSERT_OK(iter->GetNextRow(&row));
std::vector<int64_t> expected = {2, 200};
int i = 0;
while (row.size() != 0) {
auto col = row["inputData"];
ASSERT_EQ(col.Shape(), expected);
ASSERT_EQ(col.Shape().size(), 2);
ASSERT_EQ(col.DataType(), mindspore::DataType::kNumberTypeFloat32);
ASSERT_OK(iter->GetNextRow(&row));
i++;
}
EXPECT_EQ(i, 50);
iter->Stop();
}
TEST_F(MindDataTestPipeline, Level0_TestBassBiquad002) {
MS_LOG(INFO) << "Wrong Arg.";
std::shared_ptr<SchemaObj> schema = Schema();
// Original waveform
ASSERT_OK(schema->add_column("inputData", mindspore::DataType::kNumberTypeFloat32, {2, 2}));
std::shared_ptr<Dataset> ds = RandomData(50, schema);
std::shared_ptr<Dataset> ds01;
std::shared_ptr<Dataset> ds02;
EXPECT_NE(ds, nullptr);
// Check sample_rate
MS_LOG(INFO) << "sample_rate is zero.";
auto bass_biquad_op_01 = audio::BassBiquad(0,50,200.0);
ds01 = ds->Map({bass_biquad_op_01});
EXPECT_NE(ds01, nullptr);
std::shared_ptr<Iterator> iter01 = ds01->CreateIterator();
EXPECT_EQ(iter01, nullptr);
// Check Q_
MS_LOG(INFO) << "Q_ is zero.";
auto bass_biquad_op_02 = audio::BassBiquad(44100,50,200.0,0);
ds02 = ds->Map({bass_biquad_op_02});
EXPECT_NE(ds02, nullptr);
std::shared_ptr<Iterator> iter02 = ds02->CreateIterator();
EXPECT_EQ(iter02, nullptr);
}

117
tests/ut/python/dataset/test_bass_biquad.py Normal file
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@ -0,0 +1,117 @@
# Copyright 2021 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.
# ==============================================================================
import numpy as np
import pytest
import mindspore.dataset as ds
import mindspore.dataset.audio.transforms as audio
from mindspore import log as logger
def _count_unequal_element(data_expected, data_me, rtol, atol):
assert data_expected.shape == data_me.shape
total_count = len(data_expected.flatten())
error = np.abs(data_expected - data_me)
greater = np.greater(error, atol + np.abs(data_expected) * rtol)
loss_count = np.count_nonzero(greater)
assert (loss_count / total_count) < rtol, \
"\ndata_expected_std:{0}\ndata_me_error:{1}\nloss:{2}". \
format(data_expected[greater], data_me[greater], error[greater])
def test_func_bass_biquad_eager():
""" mindspore eager mode normal testcase:bass_biquad op"""
# Original waveform
waveform = np.array([[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]], dtype=np.float64)
# Expect waveform
expect_waveform = np.array([[0.10409035359, 0.21652136269, 0.33761211292],
[0.41636141439, 0.55381438997, 0.70088436361]], dtype=np.float64)
bass_biquad_op = audio.BassBiquad(44100, 50.0, 100.0, 0.707)
# Filtered waveform by bassbiquad
output = bass_biquad_op(waveform)
_count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
def test_func_bass_biquad_pipeline():
""" mindspore pipeline mode normal testcase:bass_biquad op"""
# Original waveform
waveform = np.array([[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]], dtype=np.float64)
# Expect waveform
expect_waveform = np.array([[0.10409035359, 0.21652136269, 0.33761211292],
[0.41636141439, 0.55381438997, 0.70088436361]], dtype=np.float64)
label = np.random.sample((2, 1))
data = (waveform, label)
dataset = ds.NumpySlicesDataset(data, ["channel", "sample"], shuffle=False)
bass_biquad_op = audio.BassBiquad(44100, 50, 100.0, 0.707)
# Filtered waveform by bassbiquad
dataset = dataset.map(
input_columns=["channel"], operations=bass_biquad_op, num_parallel_workers=8)
i = 0
for _ in dataset.create_dict_iterator(output_numpy=True):
_count_unequal_element(expect_waveform[i, :],
_['channel'], 0.0001, 0.0001)
i += 1
def test_invalid_invalid_input():
def test_invalid_input(test_name, sample_rate, gain, central_freq, Q, error, error_msg):
logger.info("Test BassBiquad with bad input: {0}".format(test_name))
with pytest.raises(error) as error_info:
audio.BassBiquad(sample_rate, gain, central_freq, Q)
assert error_msg in str(error_info.value)
test_invalid_input("invalid sample_rate parameter type as a float", 44100.5, 50.0, 200, 0.707, TypeError,
"Argument sample_rate with value 44100.5 is not of type [<class 'int'>],"
" but got <class 'float'>.")
test_invalid_input("invalid sample_rate parameter type as a String", "44100", 50.0, 200, 0.707, TypeError,
"Argument sample_rate with value 44100 is not of type [<class 'int'>],"
" but got <class 'str'>.")
test_invalid_input("invalid gain parameter type as a String", 44100, "50.0", 200, 0.707, TypeError,
"Argument gain with value 50.0 is not of type [<class 'float'>, <class 'int'>],"
" but got <class 'str'>.")
test_invalid_input("invalid contral_freq parameter type as a String", 44100, 50.0, "200", 0.707, TypeError,
"Argument central_freq with value 200 is not of type [<class 'float'>, <class 'int'>],"
" but got <class 'str'>.")
test_invalid_input("invalid Q parameter type as a String", 44100, 50.0, 200, "0.707", TypeError,
"Argument Q with value 0.707 is not of type [<class 'float'>, <class 'int'>],"
" but got <class 'str'>.")
test_invalid_input("invalid sample_rate parameter value", 441324343243242342345300, 50.0, 200, 0.707, ValueError,
"Input sample_rate is not within the required interval of [-2147483648, 2147483647].")
test_invalid_input("invalid gain parameter value", 44100, 32434324324234321, 200, 0.707, ValueError,
"Input gain is not within the required interval of [-16777216, 16777216].")
test_invalid_input("invalid contral_freq parameter value", 44100, 50, 32434324324234321, 0.707, ValueError,
"Input central_freq is not within the required interval of [-16777216, 16777216].")
test_invalid_input("invalid sample_rate parameter value", None, 50.0, 200, 0.707, TypeError,
"Argument sample_rate with value None is not of type [<class 'int'>], "
"but got <class 'NoneType'>.")
test_invalid_input("invalid gain parameter value", 44100, None, 200, 0.707, TypeError,
"Argument gain with value None is not of type [<class 'float'>, <class 'int'>], "
"but got <class 'NoneType'>.")
test_invalid_input("invalid central_rate parameter value", 44100, 50.0, None, 0.707, TypeError,
"Argument central_freq with value None is not of type [<class 'float'>, <class 'int'>],"
" but got <class 'NoneType'>.")
test_invalid_input("invalid sample_rate parameter value", 0, 50.0, 200, 0.707, ValueError,
"Input sample_rate can not be 0.")
test_invalid_input("invalid Q parameter value", 44100, 50.0, 200, 1.707, ValueError,
"Input Q is not within the required interval of (0, 1].")
if __name__ == '__main__':
test_func_bass_biquad_eager()
test_func_bass_biquad_pipeline()
test_invalid_invalid_input()