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snapshot-20220707.526

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torch: fold prim.dtype(bf16) to integer constant 15 (llvm#1012)

A prior patch (63538de) that added support for bfloat16 type did not
add the canonicalization pattern to fold `torch.prim.dtype` operations
on bfloat16 tensors into the integer constant 15.  This patch fixes the
problem.

oneshot-20220707.24

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Remove PyTorch build requirement

Use libtorch source builds instead.
Update to using manylinux_2_28 aka Ubuntu 18.04+
Update running audit wheel in prep for pypi

TEST=Tests pass on linux
TBD on macOS intel/m1

oneshot-20220707.23

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WIP: Remove PyTorch build requirement

Use libtorch source builds instead.

TEST= TBD: linux/macOS intel/m1

snapshot-20220706.525

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Enable libtorch caching and source builds (llvm#1004)

Add an option to cache libtorch/ releases if you don't want to
download the latest. Add an option to enable source builds.

TESTS:
macOS: verify with / without cache downloads
       verify source builds -- shared and static

Linux: Build Tests and Release builds

snapshot-20220705.524

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Fix multi-threaded tests on macOS (llvm#1005)

Fixes llvm#994

oneshot-20220705.22

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WIP: Remove PyTorch build requirement

Use libtorch source builds instead.

TEST= TBD: linux/macOS intel/m1

snapshot-20220704.523

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Update oneshotSnapshotPackage.yml

snapshot-20220703.522

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Update oneshotSnapshotPackage.yml

oneshot-20220702.21

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Enable libtorch caching and source builds

Add an option to cache libtorch/ releases if you don't want to
download the latest. Add an option to enable source builds.

TESTS:
macOS: verify with / without cache downloads
       verify source builds -- shared and static

Linux: (running tests now)

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[MLIR][TORCH] Add decomposition of aten.repeat (llvm#932)

* [MLIR][TORCH] Add decomposition of aten.repeat

* refine & rebase

* refine static shapes

* add e2e test

* Rebase and Refine naming style
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