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Pytorch STFT expects a 1D or 2D tensor as inputs. Such that the following runs fine:
class MyModel(nn.Module): def __init__(self): super(MyModel, self).__init__() def forward(self, x): stft = torch.stft(x, 8, 4, 8, return_complex=False) return stft circuit = MyModel() x = torch.empty(1, 8).uniform_(0, 1) out = circuit(x) print(out)
However tract fails to analyze this model (onnx attached) with the following error:
┏ 0 Source input ┃ ━━━ batch_size,8,F32 ┣┓ ┃┣ 1 Shape /Shape ┃┃ ━━━ 2,TDim batch_size, 8 ┃┣┻ 3 Gather /Gather ┃┃ ━━━ ,TDim batch_size ┃┣┻ 9 Unsqueeze13 /Unsqueeze ┃┃ ━━━ 1,TDim batch_size ┣━┓ ┃┃┣ 4 Shape /Shape_1 ┃┃┃ ━━━ 2,TDim batch_size, 8 ┃┃┣┻ 6 Gather /Gather_1 ┃┃┃ ━━━ ,TDim 8 ┃┃┣┻ 11 Unsqueeze13 /Unsqueeze_1 ┃┃┃ ━━━ 1,TDim 8 ┃ ┃┣┻┻ 12 InferenceConcat /Concat ┃┃ ━━━ 3,TDim 1, batch_size, 8 ┣┻ 13 Reshape /Reshape ┃ ━━━ 1,batch_size,8,F32 ┃┣ 16 ConstantOfShape /ConstantOfShape ┃┃ ━━━ 4,I64 0, 0, 0, 0 ┃┣┻ 17 InferenceConcat /Concat_1 ┃┃ ━━━ 6,I64 4, 4, 0, 0, 0, 0 ┃┣┻ 19 Reshape /Reshape_1 ┃┃ ━━━ 3,2,I64 4, 4, 0, 0, 0, 0 ┃┣┻┻┻┻ 24 StridedSlice /Slice ┃┃ ━━━ 3,2,I64 0, 0, 0, 0, 4, 4 ┃┣ 25 PermuteAxes /Transpose ┃┃ ━━━ 2,3,I64 0, 0, 4, 0, 0, 4 ┃┣┻ 27 Reshape /Reshape_2 ┃┃ ━━━ 6,I64 0, 0, 4, 0, 0, 4 ┃┣ 28 onnx.Cast /Cast ┃┃ ━━━ 6,TDim 0, 0, 4, 0, 0, 4 ┣┻ 29 Pad /Pad ┃ ━━━ 1,batch_size,16,F32 ┣┓ ┃┣ 30 Shape /Shape_2 ┃┃ ━━━ 3,TDim 1, batch_size, 16 ┃┣┻ 32 Gather /Gather_2 ┃┃ ━━━ ,TDim batch_size ┃┣┻ 37 Unsqueeze13 /Unsqueeze_2 ┃┃ ━━━ 1,TDim batch_size ┣━┓ ┃┃┣ 33 Shape /Shape_3 ┃┃┃ ━━━ 3,TDim 1, batch_size, 16 ┃┃┣┻ 35 Gather /Gather_3 ┃┃┃ ━━━ ,TDim 16 ┃┃┣┻ 39 Unsqueeze13 /Unsqueeze_3 ┃┃┃ ━━━ 1,TDim 16 ┃┣┻ 40 InferenceConcat /Concat_2 ┃┃ ━━━ 2,TDim batch_size, 16 ┣┻ 41 Reshape /Reshape_3 ┃ ━━━ batch_size,16,F32 ┣┻┻┻ 45 STFT /STFT ┃ ━━━ ?,?,?,?,? ┣ 46 PermuteAxes /Transpose_1 ━━━ ?,?,?,?,? [2023-12-04T15:07:47.426876000Z ERROR tract] Error at stage analyse Caused by: 0: Failed analyse for node #45 "/STFT" STFT 1: Failed analyse for node #45 "/STFT" STFT 2: Infering facts 3: Applying rule inputs[0].rank == 3 4: Impossible to unify 2 with 3.
network.onnx.zip
The text was updated successfully, but these errors were encountered:
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Pytorch STFT expects a 1D or 2D tensor as inputs. Such that the following runs fine:
However tract fails to analyze this model (onnx attached) with the following error:
network.onnx.zip
The text was updated successfully, but these errors were encountered: