* Adding Python boilerplate code for Go op
* Add very basic test case
* Adding the python logic for go routine
* Fix syntax
* Changing test to notest
* Rename Routine to Go
* Combining GoGuard and Go in one class
* Modify test
* Adding fluid close channel
* Fixing __init__.py for calling fluid.go()
* Adding stubs for channel methods and updating test case
* Removing import *
* Adding imports from concurrency
* Initial commit of GO_OP (for varun)
* Creating local scopes and go through them
* Updated go op inputs persistability enforcement
* Add thread execution; compile failing though
* Fix go op
* Cleaned up Go op
* Fix yapf format issue
* Readd warp ctc dir for unit tests
* Updated make_channel, channel_send, channel_recv and channel_close
* Moved thread function to another method, update unit tests
* remove output var
* Add stubs for channel operators
* Updating concurrency with signatures
* Updated the signature with return status
* Fixed dtype in variables
* Updating stub of ChannelSend + add infershape
* Updating stub of ChannelRecv + add infershape
* Updated signature
* Adding the channel_create operator
* Merge channel send+receive ops
* Update concurrency tests using all operators
* Updating the create op with ChannelHolder
* Fix issues with channel_create_op
* Add the implementation for channel_close op
* Add channel close operator, fix channel close op
* Adding the channel_send op
* Comment channels C++ and Python code
* Concurrency python api comment fix
* Update unit test to add Status variable
* Adding channel receive operator
* Update concurrency test to demonstrate a complete CSP flow
* Fix clang-format issues
* Fixed "Out" parameter name
* Fixing merge conflict in framework.py
* Add channel ops to framework.py no_kernel_op_set
* Seperating channel_send and channel_recv operators
* Documenting capacity type
* Update concurrency test to create go block as child block of main program
* Changing set status implementation
When the second argument contains batch dimension, the axis should be 0.
Also makes elementwise ops more tolerant at handling tensors with trailing
singular dimensions.
Abhinav Arora
qingqing01
Yu Yang
whs
Xin Pan
kexinzhao
dongzhihong
Tao Luo
typhoonzero
chengduo
emailweixu
Yancey
Yancey1989
Yuan Gao
Yibing Liu
chengduoZH
xuwei06