openvino to tflite conversion issue for a yolov7 based onnx model

[dsbyprateekg]

Hi,

I am facing below error while doing this conversion for y yolov7-w6 based model file-

`raise e.with_traceback(filtered_tb) from None
ValueError: Exception encountered when calling layer "tf.concat_6" (type TFOpLambda).

Dimension 1 in both shapes must be equal, but are 48 and 52. Shapes are [1,48,18] and [1,52,22]. for '{{node tf.concat_6/concat}} = ConcatV2[N=4, T=DT_FLOAT, Tidx=DT_INT32](Placeholder, Placeholder_1, Placeholder_2, Placeholder_3, tf.concat_6/concat/axis)' with input shapes: [1,40,10,512], [1,44,14,512], [1,48,18,512], [1,52,22,512], [] and with computed input tensors: input[4] = <-1>.

Call arguments received by layer "tf.concat_6" (type TFOpLambda):
• values=['tf.Tensor(shape=(1, 40, 10, 512), dtype=float32)', 'tf.Tensor(shape=(1, 44, 14, 512), dtype=float32)', 'tf.Tensor(shape=(1, 48, 18, 512), dtype=float32)', 'tf.Tensor(shape=(1, 52, 22, 512), dtype=float32)']
• axis=-1
• name=concat`

Please help to resolve this issue.

[sldriedler]

Hi,

This issue does not appear to be related to the MLTK, please post your question in openvino project.