Comments (6)
I was able to clone the tensorflow repository without any problem on Ubuntu. I observed that you are using Bazel 6.2,
GCC 9.3 which is incompatible with TF v2.7.0. And also TF v2.7.0 is a pretty older version, please try to install the latest stable version.
Could you please create a virtual environment and try to install the tensorflow as mentioned in this official document link and have a look at the compatible tested build configurations as well. Please find the attached screenshot for reference.
Is there any specific reason to install tensorflow v2.7, because as mentioned above v2.7 is the pretty older version. It's unlikely for TF 2.7 version to receive any bug fixes except when we have security patches. There is a high possibility that this was fixed with later TF versions. Thank you!
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I was trying TF 2.7 because of some project requirement but moved on from that, used latest version of TF, it worked. Thanks
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@PriyajeetGoswami,
Glad the issue is resolved. Please feel free to move this issue to closed status. Thank you!
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This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.
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This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.
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Related Issues (20)
- Build from source C doesn't produce .tar.gz archive HOT 1
- Aborted (core dumped) in `tf.raw_ops.ResourceSparseApplyMomentum` HOT 3
- Aborted (core dumped) in `tf.raw_ops.ResourceApplyFtrl/tf.raw_ops.ResourceApplyFtrlV2/tf.raw_ops.ResourceSparseApplyFtrl/tf.raw_ops.ResourceSparseApplyFtrlV2`
- Aborted (core dumped) in `tf.raw_ops.ResourceApplyKerasMomentum/tf.raw_ops.ResourceSparseApplyKerasMomentum` HOT 1
- Aborted (core dumped) in `tf.raw_ops.ResourceApplyPowerSign` HOT 3
- Aborted (core dumped) in `tf.raw_ops.ResourceApplyRMSProp/tf.raw_ops.ResourceSparseApplyRMSProp` HOT 1
- Aborted (core dumped) in `tf.raw_ops.ResourceSparseApplyAdadelta/tf.raw_ops.ResourceApplyAdadelta` HOT 1
- Aborted (core dumped) in `tf.raw_ops.ResourceSparseApplyAdagrad/tf.raw_ops.ResourceSparseApplyAdagradDA/tf.raw_ops.ResourceSparseApplyAdagradV2` HOT 1
- Aborted (core dumped) in `tf.raw_ops.ResourceApplyAdagrad/tf.raw_ops.ResourceApplyAdagradDA/tf.raw_ops.ResourceApplyAdagradV2`
- Aborted (core dumped) in `tf.raw_ops.ResourceApplyCenteredRMSProp/tf.raw_ops.ResourceSparseApplyCenteredRMSProp` HOT 1
- Aborted (core dumped) in `tf.raw_ops.ResourceSparseApplyProximalAdagrad` HOT 3
- Aborted (core dumped) in `tf.raw_ops.ResourceApplyAdaMax/tf.raw_ops.ResourceApplyAdam/tf.raw_ops.ResourceApplyAdamWithAmsgrad`
- Aborted (core dumped) in `tf.raw_ops.ResourceApplyAddSign` HOT 3
- Failed to build TF Lite benchmark tool on Windows
- The signatures in SavedModel do not contain serving_default when a subclass of the keras model has multiple inputs HOT 2
- MobileNetV3 quantization HOT 5
- Crash in `tf.raw_ops.ResizeNearestNeighbor/ResizeNearestNeighborGrad/ResizeArea/ResizeBicubic/ResizeBilinear` HOT 3
- Title: TensorFlow/Keras Integration Error: A KerasTensor cannot be used as input to a TensorFlow function HOT 1
- Add stop_evaluating attribute to Model class and add associated modification to evaluate method HOT 1
- Compilation of mlir:tf-opt fails with error "The repository '@llvm_zlib' could not be resolved" HOT 4
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