This commit replaces test inputs that were being linearly transformed
by multiplying and adding/subtracting to the input tensor with inputs
that use the `low` and `high` keyword arguments instead.
-- This commit adds e2e support for `aten.Mish` op.
-- `aten.Mish` op is decomposed as following :-
Mish(x) = x * Tanh(Softplus(x))
Signed-off-by: Abhishek Varma <avarma094@gmail.com>
Signed-off-by: Abhishek Varma <avarma094@gmail.com>
This commit adds lowering of `aten.div.int` and `aten.bitwise_or.Tensor`
ops. Both these ops are required in order to support bloom_560m model.
Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
This commit adds support for TorchToTosa lowering of
`aten.broadcast_to` op for cases:
1.) When the rank of input and output tensor is equal.
2.) When the rank of input tensor is zero.
Signed-Off By: Vivek Khandelwal<vivek@nod-labs.com>
This adds a very long and obnoxious option to disable crashing tests.
The right fix here is to use the right multiprocessing techniques to
ensure that segfaulting tests can be XFAILed like normal tests, but we
currently don't know how to implement "catch a segfault" in Python
(patches or even just ideas welcome).
Motivated by #1361, where we ended up removing two tests from *all*
backends due to a failure in one backend, which is undesirable.
Summary of changes:
- Updated emitAccessorPrefix since the default value has changed
(https://reviews.llvm.org/D133179)
- Updated RefineTypes pass since Lattice::isUninitialized() is removed
(https://reviews.llvm.org/D132800)
- Updated MHLO tag so that it builds with the updated LLVM tag
- Disabled two tests that cause segfaults in the TOSA backend (see Issue
#1361)
* Add aten.frobenius_norm.dim op and init its conversion pattern to linalg and MHLO,
* run symbolic-shape-optimization before hlo-legalize-to-linalg to fit more mhlo e2e tests.
We use it for more than TorchScript testing now. This is a purely
mechanical change to adjust some file paths to remove "torchscript".
The most perceptible change here is that now e2e tests are run with
```
./tools/e2e_test.sh
instead of:
./tools/torchscript_e2e_test.sh
```
This commit adds a method to `TestUtils` that generates random integer
tensors with a similar interface to the `TestUtils.rand`. This commit
also replaces with `tu.randint` all test inputs generated with
`torch.randint`.
PyTorch recently added support for `dim=None` in the `torch.var`
(5ca9b2b6fa)
and `torch.std`op (eb0e30e0bc).
This commit adds the corresponding support in torch-mlir.
Signed-Off By: Vivek Khandelwal<vivek@nod-labs.com>
Chi_Liu
Ramiro Leal-Cavazos
Prashant Kumar
Abhishek Varma
Gaurav Shukla
Vivek Khandelwal
Daniel Ellis
AmosLewis
JakopinA
武家伟
Tanyo Kwok
Sean Silva
Ashay Rane
gpetters94
Quinn Dawkins
Alex Tsao
nithinsubbiah
Vidush Singhal
powderluv
Quinn Dawkins