python_code stringlengths 0 229k |
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# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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
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# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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
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# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
from __future__ import absolute_import, division, print_function, unicode_literals
import torch
import torch.nn.functional as F
from tests import utils
class SimpleSoftPlusModel(torch.nn.Module):
def __init__(self):
super(SimpleSoftPlusModel, self).__init__()
def forward(self, tensor):
tenso... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# 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 ... |
from __future__ import absolute_import, division, print_function, unicode_literals
import unittest
import torch
import torch.jit
import torch_glow
from tests import utils
class Bar(torch.nn.Module):
def __init__(self):
super(Bar, self).__init__()
self.q = torch.nn.quantized.Quantize(
... |
from __future__ import absolute_import, division, print_function, unicode_literals
import unittest
import torch
from tests import utils
class TestQuantizedConv2dBigStrideSmallKernel(utils.TorchGlowTestCase):
# These tests should be run on NNPI card manually, or else
# buck test will only run them on emulato... |
# COPIED FROM: torchvision/transforms/functional.py
import numbers
import numpy as np
import torch
from PIL import Image
try:
import accimage
except ImportError:
accimage = None
def _is_pil_image(img):
return isinstance(img, Image.Image)
def _is_numpy(img):
return isinstance(img, np.ndarray)
d... |
# COPIED FROM: torchvision/models/resnet.py
import torch.nn as nn
import torch.utils.model_zoo as model_zoo
__all__ = [
"ResNet",
"resnet18",
"resnet34",
"resnet50",
"resnet101",
"resnet152",
"resnext50_32x4d",
"resnext101_32x8d",
"wide_resnet50_2",
"wide_resnet101_2",
]
mod... |
# isort:skip_file
from __future__ import absolute_import, division, print_function, unicode_literals
import torch
import torch.nn as nn
import torch_glow
class Model(nn.Module):
def __init__(self):
super(Model, self).__init__()
self.linear = nn.Linear(10, 2)
def forward(self, x):
ret... |
# isort:skip_file
from __future__ import absolute_import, division, print_function, unicode_literals
import torch
import torch_glow
x = torch.randn(4)
y = torch.randn(4)
@torch.jit.script
def foo(a, b):
c = a.mul(b)
a = c.mul(c)
a = c.mul(a)
d = c.div(a)
return d
print("original jit ir")
print... |
# isort:skip_file
from __future__ import absolute_import, division, print_function, unicode_literals
import argparse
import torch
import torch_glow
import utils.torchvision_fake.resnet as resnet
import utils.torchvision_fake.transforms as torchvisionTransforms
from PIL import Image
def load_image(image_path):
i... |
import collections
import collections.abc
import copy
from contextlib import contextmanager
from enum import Enum
from typing import Any, Iterable, List, Mapping, Optional, Tuple, Union
import torch
import torch_glow
__all__ = [
"to_glow",
"to_glow_selective",
"get_submod_inputs",
"CompilationSpec",
... |
from ._torch_glow import *
from .to_glow import *
|
#!/usr/bin/env python3
"""Convert a Wav2Vec2/HuBERT model published by fairseq into torchaudio format
Examples
```
python convert_fairseq_models.py \
--input-file hubert_base_ls960.pt \
--output-file hubert_fairseq_base_ls960.pth
python convert_fairseq_models.py \
--input-file hubert_large_ll60k.pt \
--outpu... |
#!/usr/bin/env python3
"""Convert the fairseq models available in voxpopuli repo https://github.com/facebookresearch/voxpopuli
The available checkpoints should open with fairseq.
But the following error cannot be resolved with almost any version of fairseq.
https://github.com/facebookresearch/voxpopuli/issues/29
So t... |
"""Collect the PRs between two specified tags or commits and
output the commit titles, PR numbers, and labels in a json file.
Usage: python tools/release_notes/retrieve_prs.py tags/v0.10.0 \
18685a517ae68353b05b9a0ede5343df31525c76 --file data.json
"""
import argparse
import json
import re
import subprocess
fro... |
# In[1]:
import pandas as pd
# In[2]:
# from https://github.com/pytorch/audio/blob/main/.github/process_commit.py
primary_labels_mapping = {
"BC-breaking": "Backward-incompatible changes",
"deprecation": "Deprecations",
"bug fix": "Bug Fixes",
"new feature": "New Features",
"improvement": "Imp... |
from .extension import * # noqa
|
import os
import platform
import subprocess
from pathlib import Path
import distutils.sysconfig
from setuptools import Extension
from setuptools.command.build_ext import build_ext
import torch
__all__ = [
'get_ext_modules',
'CMakeBuild',
]
_THIS_DIR = Path(__file__).parent.resolve()
_ROOT_DIR = _THIS_DIR.par... |
import torch
from torchaudio._internal import download_url_to_file
import pytest
class GreedyCTCDecoder(torch.nn.Module):
def __init__(self, labels, blank: int = 0):
super().__init__()
self.blank = blank
self.labels = labels
def forward(self, logits: torch.Tensor) -> str:
"""G... |
from torchaudio.pipelines import (
TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH,
TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH,
TACOTRON2_WAVERNN_CHAR_LJSPEECH,
TACOTRON2_WAVERNN_PHONE_LJSPEECH,
)
import pytest
@pytest.mark.parametrize(
'bundle',
[
TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH,
TACOTRON2_GRI... |
import torchaudio
from torchaudio.pipelines import (
WAV2VEC2_BASE,
WAV2VEC2_LARGE,
WAV2VEC2_LARGE_LV60K,
WAV2VEC2_ASR_BASE_10M,
WAV2VEC2_ASR_BASE_100H,
WAV2VEC2_ASR_BASE_960H,
WAV2VEC2_ASR_LARGE_10M,
WAV2VEC2_ASR_LARGE_100H,
WAV2VEC2_ASR_LARGE_960H,
WAV2VEC2_ASR_LARGE_LV60K_10M,... |
import torch
import torchaudio.kaldi_io as kio
from torchaudio_unittest import common_utils
class Test_KaldiIO(common_utils.TorchaudioTestCase):
data1 = [[1, 2, 3], [11, 12, 13], [21, 22, 23]]
data2 = [[31, 32, 33], [41, 42, 43], [51, 52, 53]]
def _test_helper(self, file_name, expected_data, fn, expecte... |
try:
from . import fb # noqa
except Exception:
pass
|
import torch
import torchaudio.compliance.kaldi as kaldi
from torchaudio_unittest import common_utils
def extract_window(window, wave, f, frame_length, frame_shift, snip_edges):
# just a copy of ExtractWindow from feature-window.cc in python
def first_sample_of_frame(frame, window_size, window_shift, snip_ed... |
from typing import Optional
import numpy as np
import torch
def psd_numpy(
X: np.array,
mask: Optional[np.array],
multi_mask: bool = False,
normalize: bool = True,
eps: float = 1e-15
) -> np.array:
X_conj = np.conj(X)
psd_X = np.einsum("...cft,...eft->...ftce", X, X_co... |
import io
import torch
def torch_script(obj):
"""TorchScript the given function or Module"""
buffer = io.BytesIO()
torch.jit.save(torch.jit.script(obj), buffer)
buffer.seek(0)
return torch.jit.load(buffer)
|
import json
from itertools import product
from parameterized import param, parameterized
from .data_utils import get_asset_path
def load_params(*paths):
with open(get_asset_path(*paths), 'r') as file:
return [param(json.loads(line)) for line in file]
def _name_func(func, _, params):
strs = []
... |
import unittest
import torchaudio
def set_audio_backend(backend):
"""Allow additional backend value, 'default'"""
backends = torchaudio.list_audio_backends()
if backend == 'soundfile':
be = 'soundfile'
elif backend == 'default':
if 'sox_io' in backends:
be = 'sox_io'
... |
from typing import Optional
import torch
import scipy.io.wavfile
def normalize_wav(tensor: torch.Tensor) -> torch.Tensor:
if tensor.dtype == torch.float32:
pass
elif tensor.dtype == torch.int32:
tensor = tensor.to(torch.float32)
tensor[tensor > 0] /= 2147483647.
tensor[tensor ... |
from .data_utils import (
get_asset_path,
get_whitenoise,
get_sinusoid,
get_spectrogram,
)
from .backend_utils import (
set_audio_backend,
)
from .case_utils import (
TempDirMixin,
HttpServerMixin,
TestBaseMixin,
PytorchTestCase,
TorchaudioTestCase,
skipIfNoCuda,
skipIfNo... |
import unittest
import random
import torch
import numpy as np
from torchaudio.functional import rnnt_loss
CPU_DEVICE = torch.device("cpu")
class _NumpyTransducer(torch.autograd.Function):
@staticmethod
def forward(
ctx,
log_probs,
logit_lengths,
target_lengths,
target... |
import subprocess
import torch
def convert_args(**kwargs):
args = []
for key, value in kwargs.items():
if key == 'sample_rate':
key = 'sample_frequency'
key = '--' + key.replace('_', '-')
value = str(value).lower() if value in [True, False] else str(value)
args.app... |
import os.path
from typing import Union, Optional
import torch
_TEST_DIR_PATH = os.path.realpath(
os.path.join(os.path.dirname(__file__), '..'))
def get_asset_path(*paths):
"""Return full path of a test asset"""
return os.path.join(_TEST_DIR_PATH, 'assets', *paths)
def convert_tensor_encoding(
te... |
import sys
import subprocess
import warnings
def get_encoding(dtype):
encodings = {
'float32': 'floating-point',
'int32': 'signed-integer',
'int16': 'signed-integer',
'uint8': 'unsigned-integer',
}
return encodings[dtype]
def get_bit_depth(dtype):
bit_depths = {
... |
import shutil
import os.path
import subprocess
import tempfile
import time
import unittest
import torch
from torch.testing._internal.common_utils import TestCase as PytorchTestCase
from torchaudio._internal.module_utils import (
is_module_available,
is_sox_available,
is_kaldi_available
)
from .backend_uti... |
import os
import sys
sys.path.append(
os.path.join(
os.path.dirname(__file__),
'..', '..', '..', 'examples'))
|
import os
from torchaudio_unittest.common_utils import (
TempDirMixin,
TorchaudioTestCase,
get_whitenoise,
save_wav,
normalize_wav,
)
from source_separation.utils.dataset import wsj0mix
_FILENAMES = [
"012c0207_1.9952_01cc0202_-1.9952.wav",
"01co0302_1.63_014c020q_-1.63.wav",
"01do03... |
"""Reference Implementation of SDR and PIT SDR.
This module was taken from the following implementation
https://github.com/naplab/Conv-TasNet/blob/e66d82a8f956a69749ec8a4ae382217faa097c5c/utility/sdr.py
which was made available by Yi Luo under the following liscence,
Creative Commons Attribution-NonCommercial-Share... |
from itertools import product
import torch
from torch.testing._internal.common_utils import TestCase
from parameterized import parameterized
from . import sdr_reference
from source_separation.utils import metrics
class TestSDR(TestCase):
@parameterized.expand([(1, ), (2, ), (32, )])
def test_sdr(self, batch... |
import torch
from .tacotron2_loss_impl import (
Tacotron2LossShapeTests,
Tacotron2LossTorchscriptTests,
Tacotron2LossGradcheckTests,
)
from torchaudio_unittest.common_utils import PytorchTestCase
class TestTacotron2LossShapeFloat32CPU(Tacotron2LossShapeTests, PytorchTestCase):
dtype = torch.float32
... |
import torch
from torch.autograd import gradcheck, gradgradcheck
from pipeline_tacotron2.loss import Tacotron2Loss
from torchaudio_unittest.common_utils import (
TestBaseMixin,
torch_script,
)
class Tacotron2LossInputMixin(TestBaseMixin):
def _get_inputs(self, n_mel=80, n_batch=16, max_mel_specgram_leng... |
import torch
from .tacotron2_loss_impl import (
Tacotron2LossShapeTests,
Tacotron2LossTorchscriptTests,
Tacotron2LossGradcheckTests,
)
from torchaudio_unittest.common_utils import skipIfNoCuda, PytorchTestCase
@skipIfNoCuda
class TestTacotron2LossShapeFloat32CUDA(PytorchTestCase, Tacotron2LossShapeTests)... |
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