Sean Silva f49ebf1690 Add `!torch.int` type. ... This replaces the ad-hoc use of `i64` throughout the Torch layer, and helps to keep it crystal clear the distinction between `!torch.int` (which is modeling the Python `int` type) and the various types that serve as dtypes of tensors, which are a totally different type universe. Changes: - `!torch.int` type and C bindings. - Change `torch.constant.int` parser to not need the `: i64` at the end. - `m_TorchConstantInt` matcher to aid with matching constants. - BackendTypeConversion changes for `!torch.int` -> `i64` type conversion. - Refactor finalizing patterns in FinalizingBackendTypeConversionPass (they were getting very repetitive). - Mechanical rewriting of `!torch.int` to `i64` in all the tests, and `AnyTorchIntType` to `Torch_IntType` in the `.td` files.		2021-06-17 07:28:23 -07:00
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test_arange.py	Introduce `!torch.tensor` / `!torch.vtensor` types.	2021-06-10 10:56:48 -07:00
test_conv_nllloss_grads.py	Significantly restructure torch/aten import design.	2021-05-19 13:37:39 -07:00
test_export_add3.py	Add `!torch.int` type.	2021-06-17 07:28:23 -07:00
test_export_batchnorm.py	Introduce `!torch.tensor` / `!torch.vtensor` types.	2021-06-10 10:56:48 -07:00
test_export_cat.py	Add TorchList type and prim::ListConstruct #218	2021-06-10 14:31:35 -07:00
test_export_conv2d_fwd.py	Add `!torch.int` type.	2021-06-17 07:28:23 -07:00
test_export_multi_out.py	Significantly restructure torch/aten import design.	2021-05-19 13:37:39 -07:00