GitLab

* Add info on README.md for #666

Added a simple command what to do when coming
across undefined reference errors when trying to build
from specific linux+anaconda configurations.

* backend change instructions in readme.

* link to installation instructions.

* Add Vol with gain_type amplitude

* add gain in db and add tests

* add gain_type "power" and tests

* add functional DB_to_amplitude

* simplify

* remove functional

* improve docstring

* add to documentation

* add basics for Fade

* add fade possibilities: at start, end or both

* add different types of fade

* add docstrings, add overriding possibility

* remove unnecessary logic

* correct typing

* agnostic to batch size or n_channels

* add batch test to Fade

* add transform to options

* add test_script_module

* add coherency with test batch

* remove extra step for waveform_length

* update docstring

* add test to compare fade with sox

* change name of fade_shape

* update test fade vs sox with new nomenclature for fade_shape

* add Documentation
Co-authored-by: Vincent QB <vincentqb@users.noreply.github.com>

* Fix MelScale test and documentation

* revert change to tests

* adding smoke test

* adding smoke test

* fix config.yml

* trigger smoke test

* test aws erc credential

* test aws erc credential

* test aws erc credential

* test aws erc credential

* adding ecr cred

* test aws erc credential

* test aws erc credential

* test aws erc credential - different way

* test aws erc credential - different way #2

* test aws erc credential - different way #3

* test aws erc credential - different way #4

* test aws #1

* test aws erc credential, after enabling circleci setting

* fixing conda init

* add verbose output for smoke test

* add docker image build workflow

* add docker image build workflow

* fix aws ecr login

* use images build from circelci

* ready for review

* updated Readme with instructions on nightly install, also updated docker image which can make nightlies installed via pip pass

* nit

* reduce size

* batching for transforms.

* test for batching.

* update readme.

Adding disclaimer about dataset. https://github.com/pytorch/pytorch/issues/24865

* Packaging improvements for nightlies

- Instructions for how to install stable and master binaries,
  without hardcoding wheel filenames
- Turn on Python 2 build (numba is only needed for testing)
- Make builds a little more hermetic
- Prefer building against nightly CPU-only torch build
- Don't install all of requirements.txt, it's not necessary
- Updates for OS X too, including portability issues
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

Add Kaldi IO as a dependency + put  a wrapper to convert to Tensor + add test to check correct type (#111)

This reverts commit cfe3f296.

* Revert "Revert "Rewrote C code with C++ extensions" (#39)"

This reverts commit 7236e3f4

.

* Fix import error of C extension
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Revert "Nits"

This reverts commit 2db284c4.

* Revert "Conform to sox library a bit better"

This reverts commit c340a8d1.

* Revert "Added test to make sure loading and saving gives the same file"

This reverts commit cba11009.

* Revert "Rewrote C code with C++ extensions"

This reverts commit 8a41ecdc.

ImportError: No module named 'cffi'. Necessary for both mac and linux installations