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* Import batched gemm change

commit cfacfa2
Author: Masahiro Masuda <masahi129@gmail.com>
Date:   Mon Nov 1 15:57:49 2021 +0900

    change is_constant pattern to wildcard in gelu pattern

commit 84da943
Author: Masahiro Masuda <masahi129@gmail.com>
Date:   Mon Nov 1 05:41:11 2021 +0900

    fixed batch stride C

commit 66e5779
Author: Masahiro Masuda <masahi129@gmail.com>
Date:   Sun Oct 31 20:47:16 2021 +0900

    refactoring codegen

commit 561daea
Author: Masahiro Masuda <masahi129@gmail.com>
Date:   Sun Oct 31 20:05:20 2021 +0900

    generated kernel compiled and result match

commit a5740bc
Author: Masahiro Masuda <masahi129@gmail.com>
Date:   Sun Oct 31 19:36:53 2021 +0900

    partitioning looks good

commit 59112fd
Author: Masahiro Masuda <masahi129@gmail.com>
Date:   Sun Oct 31 19:01:47 2021 +0900

    [WIP] cutlass batch matmul support

* fixed test

* refactoring

* gelu test fixed

* more refactor

* batch_matmul fp32 accum working

* dynamic batch matmul working

* black

* remove doc TODO
c7a01a4

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Open Deep Learning Compiler Stack

Documentation | Contributors | Community | Release Notes

Build Status WinMacBuild

Apache TVM is a compiler stack for deep learning systems. It is designed to close the gap between the productivity-focused deep learning frameworks, and the performance- and efficiency-focused hardware backends. TVM works with deep learning frameworks to provide end to end compilation to different backends.

License

TVM is licensed under the Apache-2.0 license.

Getting Started

Check out the TVM Documentation site for installation instructions, tutorials, examples, and more. The Getting Started with TVM tutorial is a great place to start.

Contribute to TVM

TVM adopts apache committer model, we aim to create an open source project that is maintained and owned by the community. Check out the Contributor Guide.

Acknowledgement

We learned a lot from the following projects when building TVM.

  • Halide: Part of TVM's TIR and arithmetic simplification module originates from Halide. We also learned and adapted some part of lowering pipeline from Halide.
  • Loopy: use of integer set analysis and its loop transformation primitives.
  • Theano: the design inspiration of symbolic scan operator for recurrence.