Phaneesh Barwaria 7830c00ca2 onnx.LSTM - bidirectional, layout attr (#3771) ... - Support Bidirectional LSTM (utilising the forward LSTM layer with flipped Inputs and Outputs) - Support layout 1 - Support default cases for attr `clip` and `input_forget` - Support returning partial outputs (1-3) - fixes for alt_e2e_tests lstm tests (1,2,3)		2024-10-08 11:29:49 -07:00
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torch-mlir	onnx.LSTM - bidirectional, layout attr (#3771)	2024-10-08 11:29:49 -07:00
torch-mlir-c	[ONNX] add int16 quantization support (#3446)	2024-06-12 10:37:22 +05:30
torch-mlir-dialects	[Torch] [TMTensor] Added mask and is_causal support for torch.aten.scaled_dot_product_attention (#3690)	2024-09-09 15:51:41 -07:00
CMakeLists.txt	[NFC reformat] Run pre-commit on all files and format misc.	2024-04-27 14:08:09 -07:00