Comments (4)
@pzy2000,
The error message "unsupported operand type(s) for -: 'NoneType' and 'int'" suggests that a computation is attempted between NoneType (which indicates a missing value) and an integer. Also I tried to execute the mentioned code and it was executed with a different error. Kindly find the gist of it here and share the required dependencies. Thank you!
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@pzy2000, The error message "unsupported operand type(s) for -: 'NoneType' and 'int'" suggests that a computation is attempted between NoneType (which indicates a missing value) and an integer. Also I tried to execute the mentioned code and it was executed with a different error. Kindly find the gist of it here and share the required dependencies. Thank you!
sorry, I forgot to share the model file, it is here:
https://drive.google.com/file/d/14Lph3YKjXJVy3huIFCYoQJ4DrqgKs5tf/view?usp=sharing
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@pzy2000,
I tried to execute the mentioned code using the .h5 file provided and execute with the different error. AFAIK I tried to execute the model with tensorflow v2.16, and tried to run the inference for the .h5 model which was on tensorflow older versions and it was failing due to this extra layer which was not present in before versions. Kindly find the gist of it here.
And also this issue is related to Keras, Could you please reach out to keras-team/keras repo for the quick response. 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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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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