Comments (2)
Sorry, but this is as unhelpful an answer as it gets. Points 1, 2, 4 and 5 are merely repetitions of my issue description, and your conclusion literally prompts me to do what I just did by opening this issue.
As for point 3, the all point of my opening this issue is to point out that there is a lack of documentation regarding these changes, which means everyone has to spend time figuring out what is broken or not, and how to adjust to API changes. I managed to do it in my specific case with a few hours' effort, but the parts I use in my software only cover a small part of the entire TensorFlow/Keras API, hence I expect others will not only encounter the same issues as me, but probably more undocumented issues.
Hence my call for a broader migration guide, that would help developers adjust their code to the recent changes with limited effort.
from tensorflow.
(it's an answer generated by an LLM, just spam)
from tensorflow.
Related Issues (20)
- Some `Check Failed` errors in `tf.raw_ops.Unbatch` HOT 2
- `Overflow` in `tf.raw_ops.DenseBincount` when the value of `size` is too large. HOT 1
- `Check failed` in `tf.raw_ops.UnbatchGrad` when the input of `original_input` is empty.
- Suggestion: Chatbot Integration for TensorFlow API Assistance HOT 1
- `segmentation fault` in `tf.raw_ops.AddManySparseToTensorsMap` when `sparse_indices` and `sparse_values` are empty and `sparse_shape` is too large.
- Getting [java.lang.IllegalArgumentException: Internal error: Error applying delegate] error while applying GPU Delegate HOT 2
- `Check failed` in `tf.transpose`, `tf.raw_ops.Transpose` and `tf.compat.v1.transpose` when the values of `perm` have negative numbers.
- `Check failed` in `tf.image.crop_and_resize` and `tf.compat.v1.image.crop_and_resize` when `boxes` and `box_indices` are empty. HOT 3
- `Check failed` and `segmentation fault` in `tf.raw_ops.AudioSpectrogram`.
- Error when trring a second training : WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer.iter HOT 1
- `Check failed` in `tf.raw_ops.ScatterNd` and `tf.scatter_nd` when the rank of `indices` > 2.
- `Check failed` in `tf.raw_ops.TensorScatterUpdate` and `tf.tensor_scatter_nd_update` when the rank of `indices` > 2. HOT 1
- `Check failed` in `tf.raw_ops.TensorScatterMax` and `tf.tensor_scatter_nd_max` when the rank of `indices` > 2.
- `Check failed` in `tf.raw_ops.TensorScatterMin` and `tf.tensor_scatter_nd_min` when the rank of `indices` > 2. HOT 2
- `Check failed` in `tf.raw_ops.TensorScatterSub` and `tf.tensor_scatter_nd_sub` when the rank of `indices` > 2.
- `Check failed` in `tf.raw_ops.TensorScatterAdd` and `tf.tensor_scatter_nd_add` when the rank of `indices` > 2. HOT 1
- `Segmentation Fault` in `tf.raw_ops.TensorListScatter` and `tf.raw_ops.TensorListScatterV2` when the value of `indices` is too large.
- Some `Check Failed` errors in `tf.raw_ops.MatrixSetDiagV3` HOT 1
- Some `Check Failed` errors in `tf.raw_ops.MatrixSetDiagV2`
- Memory leak in tf.data when iterating over Dataset.from_generator HOT 2
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from tensorflow.