Comments (2)
dboyliao
commented on September 25, 2024
Since Tensorflow constantly doing breaking features along the way in their low level api such as updating flatbuffer schema, which utensor_cgen may relies on, it's not practical for me to keep track of latest version of Tensorflow when developing this package.
You can update setup.py and run tests locally to see if latest TF breaks anything.
If everything goes well, I'm ok upgrading TF version.
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victorromeo
commented on September 25, 2024
Pull request added. As I prefer to baseline at current stable version, this is for TensorFlow 2.3.1. not TF2.2.0 which is now legacy. See #137
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Related Issues (20)
- Pre/Post Transform/Apply Observer HOT 2
- [re-arch-rc1] Conv2D SAME padding gets parsed as UNKNOWN HOT 2
- Move Quantization params to constants file
- utensor-cli show still uses legacy backend
- [Refactoring] Shared configuration within frontend parser, graph/ops lower and backend
- Naming issue in utensor_cgen HOT 4
- Feature: add TransposeOperator HOT 1
- CLI list-support-ops fails HOT 1
- Conversion from ONNX model fails with Relu HOT 3
- Feature request Average Pooling and Min Pooling support HOT 3
- ONNX frontend bug with MissingOperator HOT 1
- setuptools not installing depenencies using Readme instructions HOT 1
- 'TypeError: __init__() missing 1 required positional argument: 'output_nodes'' HOT 1
- How to re-use a WrappedRamTensor and provide new input data HOT 8
- Attribute error module has no attribute HOT 2
- High-Level Graph Builder HOT 1
- [Simple] Weight header snippet missing include guards
- Allow inline optimizer to spit out a single variable HOT 4
- Hyphens in TF operation names being written into generated C++ code HOT 1
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