Merge branch 'v0.2.0' into master (#162)

.gitignore

@@ -108,3 +108,4 @@ ENV/
 
 # Generated Files
 test/assets/sinewave.wav
+torchaudio/version.py

build_tools/travis/install.sh

@@ -56,5 +56,5 @@ if [[ "$SKIP_TESTS" != "true" ]]; then
     conda install --yes pytorch-nightly-cpu -c pytorch
 
      # TorchAudio CPP Extensions
-    pip install .
+    python setup.py install
 fi

requirements.txt

+torch>=1.1.0
+
 # Optional for torchaudio.kaldi_io
 numpy
 kaldi_io
@@ -8,7 +10,7 @@ kaldi_io
 flake8
 
 # Used for comparison of outputs in tests
-librosa
+librosa>=0.4.3
 scipy
 
 # Unit tests with pytest

setup.py

 #!/usr/bin/env python
 import os
 import platform
+import sys
+import subprocess
 
 from setuptools import setup, find_packages
 from torch.utils.cpp_extension import BuildExtension, CppExtension
@@ -10,6 +12,11 @@ def check_env_flag(name, default=''):
     return os.getenv(name, default).upper() in set(['ON', '1', 'YES', 'TRUE', 'Y'])
 
 DEBUG = check_env_flag('DEBUG')
+IS_WHEEL = check_env_flag('IS_WHEEL')
+IS_CONDA = check_env_flag('IS_CONDA')
+
+print('DEBUG:', DEBUG, 'IS_WHEEL:', IS_WHEEL, 'IS_CONDA:', IS_CONDA)
+
 eca = []
 ela = []
 if DEBUG:
@@ -19,6 +26,56 @@ if DEBUG:
         eca += ['-O0', '-g']
         ela += ['-O0', '-g']
 
+
+libraries = []
+include_dirs = []
+extra_objects = []
+
+if IS_WHEEL:
+    audio_path = os.path.dirname(os.path.abspath(__file__))
+
+    include_dirs += [os.path.join(audio_path, 'third_party/flac/include')]
+    include_dirs += [os.path.join(audio_path, 'third_party/lame/include')]
+    include_dirs += [os.path.join(audio_path, 'third_party/sox/include')]
+
+    # proper link order (sox, flac, lame)
+    extra_objects += [os.path.join(audio_path, 'third_party/sox/lib/libsox.a')]
+    extra_objects += [os.path.join(audio_path, 'third_party/flac/lib/libFLAC.a')]
+    extra_objects += [os.path.join(audio_path, 'third_party/lame/lib/libmp3lame.a')]
+else:
+    libraries += ['sox']
+
+if IS_CONDA:
+    # We want $PREFIX/include for conda (for sox.h)
+    lib_path = os.path.dirname(sys.executable)
+    include_dirs += [os.path.join(os.path.dirname(lib_path), 'include')]
+
+
+# Creating the version file
+cwd = os.path.dirname(os.path.abspath(__file__))
+version = '0.2.0a0'
+sha = 'Unknown'
+
+try:
+    sha = subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=cwd).decode('ascii').strip()
+except Exception:
+    pass
+
+if os.getenv('TORCHAUDIO_BUILD_VERSION'):
+    assert os.getenv('TORCHAUDIO_BUILD_NUMBER') is not None
+    build_number = int(os.getenv('TORCHAUDIO_BUILD_NUMBER'))
+    version = os.getenv('TORCHAUDIO_BUILD_VERSION')
+    if build_number > 1:
+        version += '.post' + str(build_number)
+elif sha != 'Unknown':
+    version += '+' + sha[:7]
+print('-- Building version ' + version)
+
+version_path = os.path.join(cwd, 'torchaudio', 'version.py')
+with open(version_path, 'w') as f:
+    f.write("__version__ = '{}'\n".format(version))
+    f.write("git_version = {}\n".format(repr(sha)))
+
 setup(
     name="torchaudio",
     version="0.2",
@@ -35,7 +92,8 @@ setup(
         "Operating System :: Microsoft :: Windows",
         "Operating System :: POSIX",
         "Programming Language :: C++",
-        "Programming Language :: Python 3",
+        "Programming Language :: Python :: 2.7",
+        "Programming Language :: Python :: 3",
         "Programming Language :: Python :: Implementation :: CPython",
         "Topic :: Multimedia :: Sound/Audio",
         "Topic :: Scientific/Engineering :: Artificial Intelligence"
@@ -46,8 +104,10 @@ setup(
         CppExtension(
             '_torch_sox',
             ['torchaudio/torch_sox.cpp'],
-            libraries=['sox'],
+            libraries=libraries,
+            include_dirs=include_dirs,
             extra_compile_args=eca,
+            extra_objects=extra_objects,
             extra_link_args=ela),
     ],
     cmdclass={'build_ext': BuildExtension},

torchaudio/__init__.py

@@ -4,6 +4,7 @@ import os.path
 import torch
 import _torch_sox
 
+from .version import __version__, git_version
 from torchaudio import transforms, datasets, kaldi_io, sox_effects, legacy, compliance