torch-mlir/test/Conversion/TorchOnnxToTorch
kumardeepakamd 87389f0762
[ONNXToTorch] Add conversion for Onnx range (#2752)
Implemented ONNX.Range. The spec says the data type for start, limit,
delta are 0-D can be double, float, int16, int32, int64, All int types
mapped to !torch.int and all float types mapped to !torch.float

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Co-authored-by: Kumar Deepak <kumar@xilinx.com>
2024-01-15 14:26:46 -05:00
..
simple_ops_a_to_f.mlir [onnx] Convert `onnx.constant` to `torch` literal tensor (#2748) 2024-01-15 09:31:22 -08:00
simple_ops_g_to_p.mlir [MLIR][ONNX] Add OnnxToTorch support for Maxpool Op (#2695) 2024-01-12 14:54:38 -08:00
simple_ops_q_to_z.mlir [ONNXToTorch] Add conversion for Onnx range (#2752) 2024-01-15 14:26:46 -05:00
unsupported_fb_opt_ops.mlir add basic cumsum. this doesn't support the exclusive and reverse attrs (#2717) 2024-01-03 09:52:59 -08:00
unsupported_simple_ops.mlir Initial TorchOnnxToTorch conversion pipeline. (#2585) 2023-11-21 21:02:55 -08:00