Add support for Moonshine ONNX export (& seq2seq models with non-legacy cache & Tensor.repeat_interleave)#2162
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xenova
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Tensor.repeat_interleave)Tensor.repeat_interleave)
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Edit: Fixed ✅ (current failing tests unrelated) |
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| # TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results. | ||
| PatchingSpec(torch.Tensor, "__len__", lambda x: x.shape[0], torch.Tensor.__len__), |
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GREAT ! Thanks for omitting this !
| # is of type tensor. By default, it is assumed that the output names mentioned in the ONNX config | ||
| # match the outputs in order. | ||
| filterd_outputs = {} | ||
| filtered_outputs = {} |
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nice catch ! I'm embarrassed by the amount of times I've modified this file without seeing this x)
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What does this PR do?
This PR does the following:
torch.Tensor.repeat_interleave, which are unable to export due to a bug in pytorch:torch.onnx.export(dynamo=False) fails with uninformative error when exportingapply_rotary_pos_emb/repeat_interleavepytorch/pytorch#145100. Note that this bug most likely won't be fixed as the pytorch team transitions to the new dynamo-based exporter.Fixes # (issue)
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