torch-mlir/test/Dialect
Gaurav Shukla e57d3f9774 [LINALG] Fix `aten.bernoulli` op lowering
- This commit adds E2E support for `aten.rand_like` and
  `aten.bernoulli_.Tensor` ops.
- The `aten.bernoulli(x)` was implemented as:
  `aten.bernoulli(x) = rand_like(x) < 0.5`, assuming 0.5 as default
  probability, whereas according to the pytorch documentation:
  https://pytorch.org/docs/stable/generated/torch.bernoulli.html#torch.bernoulli
  the input x in `aten.bernoulli(x)` is itself a tensor containing
  probabilities to be used for drawing the binary random number.
- So this commit fixes the `aten.bernoulli(x)` implementation as:
  `aten.bernoulli(x) = rand_like(x) < x`.
- It also fixes the case where the input to `aten.bernoulli_.float` is
  an integer tensor. In this case the input must be casted to float type
  before passing it as operand to `aten.rand_like` op.
  `aten.bernoulli_.float(x, p) = rand_like(float(x)) < p`.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-03-05 09:38:22 +05:30
..
Torch [LINALG] Fix `aten.bernoulli` op lowering 2022-03-05 09:38:22 +05:30
TorchConversion LLVM bump 2022-02-16 15:28:13 -05:00