Comments (1)
Is that expected?
Yes. You can safely ignore that error; it's a TensorFlow issue, but it doesn't mean much.
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Related Issues (20)
- Improved grid_sample HOT 1
- onnx2tf `download_test_image_data()` S3 file connection error HOT 2
- Downgrade of ~10% on multiple weights of YoloX HOT 7
- I convert onnx to tensorflow use -osd option, saved_model wierd, almost every layer have many output HOT 2
- yolov8-seg output transpose (0,3,1,2) HOT 5
- [ssdlite320_mobilenet_v3_large] Wrong shapes during inference
- SavedModel saved prior to TF 2.5 detected when loading Keras model. HOT 2
- Conversion of ScatterND operator results in error HOT 2
- module 'tensorflow' has no attribute 'random' for tensorflow 2.15, but 2.14.0 does HOT 2
- Conversion of YoloV5, conversion of StridedSlice from 5d to 4d HOT 7
- Failed to convert Real-ESRGAN x4-general (NCHW) HOT 1
- Error when onnx2tf: Floating point exception (core dumped) HOT 10
- Full int8 quantized model doesn't work when "flatc" is installed on the system HOT 8
- ValueError: Exception encountered when calling layer "tf.math.multiply_46" (type TFOpLambda).
- 0 trainable parameters HOT 1
- Facing onnx2tf converstion issue with resnet model mentioned in README HOT 1
- pre_explicit_broadcast should not expend scalar tensor HOT 13
- "GEMM: Dimension mismatch" during value validation phase HOT 4
- Exclude selected operations from INT8 quantized model HOT 18
- ValueError in MaxPool Layer during ONNX to TensorFlow Conversion with 3D Input HOT 5
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