merge master #20741
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merge master #20741
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….py (#20728) The `window_length` parameter in `tf.keras.ops.istft` requires `tf.int32` dtype, but this isn't documented. This can cause unexpected `ValueError` when using `tf.int64` and `tf.int16` Here is the Example case: ``` import tensorflow as tf input_dict = { 'stfts': tf.constant([[-0.87817144+1.14583987j, -0.32066484+0.25565411j]], dtype=tf.complex128), 'frame_length': tf.constant(256, dtype=tf.int16), 'frame_step': tf.constant(5120,dtype=tf.int64) } result = tf.signal.inverse_stft(**input_dict) print(result) ``` The code throws the following error: ``` ValueError: window_length: Tensor conversion requested dtype int32 for Tensor with dtype int64 ```
* Add rand_augment init * Update rand_augment init * Add rand_augment * Add NotImplementedError * Add some test cases * Fix failed test case * Update rand_augment * Update rand_augment test * Fix random_rotation bug * Add build method to supress warning. * Add implementation for transform_bboxes
* fixing wrong trainer assumption that batch dim is always the first one in the mesh * need functools partial * lint * fix test failure when distribution=None * lint2 * fix for test failure * added data sharding for 3D+ meshes * lint3 * added @Property for batch_dim_name + refactoring * fix typo
#20732) The `dtype` / `DTypePolicy` is applied to all float variables.
by simply using `ops.shape(x)` instead of `x.shape`.
The same tests exist at: - https://github.com/keras-team/keras/blob/master/keras/src/export/saved_model_test.py#L66 - https://github.com/keras-team/keras/blob/master/keras/src/export/onnx_test.py#L62 The goal is to isolate the use of `onnxruntime` to a single file, `onnx_test.py`.
* Add OpenVINO into README.md Signed-off-by: Kazantsev, Roman <[email protected]> * Update README.md --------- Signed-off-by: Kazantsev, Roman <[email protected]>
Multiple Example Title has removed in metrics.MeanIoU method
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