Comments (2)
Fixes: https://github.com/PINTO0309/onnx2tf/releases/tag/1.20.2
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Thank you!
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Related Issues (20)
- Discrepancies between Conv layer outputs of the ONNX model and converted TensorFlow models HOT 3
- Resize operation fails (['unk__0', 'unk__1', 'unk__2', 'unk__3']) and raises UnboundLocalError: local variable 'new_size' referenced before assignment HOT 20
- FULL INTEGER QUANTIZED MODEL (INT8) infers always the same value HOT 2
- Error performing quantization-aware training (QAT) with keras onnx2tf generated model HOT 4
- how to fuse activation into conv: fused_activation_function=NONE HOT 7
- Op Error about "Transpose" HOT 7
- [docTR] Can it support from ONNX NHWC to TF NHWC? HOT 1
- Constant outputs removed from ONNX during conversion HOT 4
- [ConvNext-Det] Quantized ConvNext HOT 7
- [ONNX to TFLite] Cannot reshape from slice to unsqueeze. HOT 6
- Wrong shape on a specific node into TFLITE 32 model generated HOT 12
- Android GPU inference falls with TRANSPOSE_CONV: Max version supported: 3. Requested version 4. HOT 2
- Conversion error for Resize layer when using flag "-nuo" HOT 2
- Incorrect arguments in tf.nn.convolution HOT 5
- FusedConv error HOT 3
- RTMDet int8 quantization HOT 10
- [Phi3] List index out of range error on converting microsoft Phi3 onnx models to TfLite HOT 2
- matmul uint8 converts to flexbatchmatmul HOT 4
- Custom LSTM PyTorch model Full integer quantization problem HOT 3
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