change chunking scheme for full-allreduce case, add parameter order argument, both to enable contiguous chunking of allgather (#1190)

1. remove the weight broadcast in the constructor
2. disable unnecessary allreduces for clip-after-ar

* run backward

* remove custom_fwd/custom_bwd

* [ColumnParallelLinear] Test behavior in autocast

* fix test

* casts manually to autocast dtype

Co-authored-by: Piotr Bialecki <pbialecki@nvidia.com>
Co-authored-by: Eddie Yan <eddiey@nvidia.com>
Co-authored-by: Rishi Puri <riship@nvidia.com>
Co-authored-by: Sangkug Lym <slym@nvidia.com>

- passing include directories to `CUDAExtension`'s `include_dirs` argument
- removing `-I/path/to/dir` arguments from `extra_compile_args`

* support for fused dense layer with cublasLt, fusion in both fprop and bprop

* fix typo causing syntax error

* add fused GEMM+gelu+GEMM modue

* fix typo for workspace size

* update cublas check for 11600

* add tests for fused dense layer

* fix CUDA 10.x path

* safer guard around CUBLAS constants, remove unreferenced variable

* more guard changes

* guard against cublas version instead of cuda
Co-authored-by: Sukru Eryilmaz <seryilmaz@computelab-dgx1v-32.nvidia.com>

Optional NCCL communicator argument to init method

Bug fix in wgrad

Bug fixes

Various bug fixes in fused spatial parallel bottleneck block

* option to set param views to flat buffer

* remove redundant variables in init_stage1
Co-authored-by: Sukru Eryilmaz <seryilmaz@computelab-dgx1v-32.nvidia.com>
Co-authored-by: ptrblck <ptrblck@users.noreply.github.com>

* add full all-reduce code path

* debug

* debug
Co-authored-by: ptrblck <ptrblck@users.noreply.github.com>

Add functions to compute grad_out1, grad_out1_halo

* fuse norm into scale

* add fused norm into dlamb
Co-authored-by: Sukru Eryilmaz <seryilmaz@computelab-dgx1v-32.nvidia.com>

* support for fused dense layer with cublasLt, fusion in both fprop and bprop

* fix typo causing syntax error

* add fused GEMM+gelu+GEMM modue

* fix typo for workspace size

* update cublas check for 11600

* add tests for fused dense layer

* fix CUDA 10.x path
Co-authored-by: Sukru Eryilmaz <seryilmaz@computelab-dgx1v-32.nvidia.com>

wrapper function for flat view creation in _lazy_init_stage2

Spatially Distributed Fast Bottleneck block

Wrote a small wrapper function for flat view creation in _lazy_init_stage2 to support channels last data formats

* Added support for fused ReLU and dropout into transducer joint

* Reorganized code selection path in transducer joint fwd
* Added support for fused ReLU+dropout into transducer joint

* Vectorize transducer loss backward with fused softmax (#3)

* Nanz/transducer loss (#4)

* Vectorize transducer loss backward with fused softmax

* Added a predicate to avoid potential IMA

* Nanz/transducer loss (#5)

* Vectorize transducer loss backward with fused softmax

* Added a predicate to avoid potentional IMA

* Added more predicates to avoid IMAs

* Updated documentations for newly added features.

* Fixed a error in transducer.py

* local_rank and install cuda version fix