Comments (2)
PINTO0309
commented on June 13, 2024
https://github.com/PINTO0309/onnx2tf?tab=readme-ov-file#environment
pip show tensorflow
Name: tensorflow
Version: 2.14.0
Summary: TensorFlow is an open source machine learning framework for everyone.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: [email protected]
License: Apache 2.0
Location: /home/b920405/.local/lib/python3.10/site-packages
Requires: absl-py, astunparse, flatbuffers, gast, google-pasta, grpcio, h5py, keras, libclang, ml-dtypes, numpy, opt-einsum, packaging, protobuf, setuptools, six, tensorboard, tensorflow-estimator, tensorflow-io-gcs-filesystem, termcolor, typing-extensions, wrapt
Required-by: retina-face, tensorflow-decision-forests, tensorflowjs
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flores-o
commented on June 13, 2024
Thank you, the command ran without errors with the environment above and tf 2.14.0
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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
- Resize conversion bug HOT 2
- 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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