torch-mlir/test/Conversion/TorchOnnxToTorch
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
..
ops onnx.LSTM - bidirectional, layout attr (#3771) 2024-10-08 11:29:49 -07:00
simple_ops_a_to_f.mlir [ONNX] simplify shapes fed to broadcast in Expand lowering (#3756) 2024-10-03 20:11:51 -05:00
simple_ops_g_to_p.mlir Fix onnx.Gather lowering with dynamic shapes (#3675) 2024-08-29 17:02:16 -07:00
simple_ops_q_to_z.mlir [ONNX] Fix onnx.ScatterElements with AtenScatterReduceTwoOp lowering to tm_tensor/linalg_ext dialect (#3754) 2024-10-05 22:22:41 -07:00
unsupported_fb_opt_ops.mlir Add attributes support for onnx cumsum op (#3241) 2024-05-11 02:09:01 +08:00