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keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./examples/keras_io/tensorflow/nlp/text_classification_from_scratch.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/attention/attention_test.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/export/__init__.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./examples/keras_io/vision/image_classification_from_scratch.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./integration_tests/torch_workflow_test.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/saving/serialization_lib.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/core/embedding.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./integration_tests/import_test.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/optimizers/adamw.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/backend/tensorflow/trackable.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/preprocessing/tf_data_layer.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/backend/jax/layer.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/backend/torch/optimizers/torch_adadelta.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/activations/elu.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/normalization/group_normalization_test.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/callbacks/backup_and_restore_callback.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/convolutional/depthwise_conv1d.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/backend/common/dtypes.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/preprocessing/hashing.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./guides/writing_your_own_callbacks.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/optimizers/sgd.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./examples/keras_io/tensorflow/vision/simsiam.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/legacy/saving/saving_options.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/reshaping/zero_padding1d_test.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/losses/losses_test.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./guides/distributed_training_with_jax.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/regularization/dropout.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/applications/nasnet.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./benchmarks/layer_benchmark/normalization_benchmark.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/reshaping/up_sampling1d.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/callbacks/remote_monitor_test.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/activations/leaky_relu_test.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/layers/rnn/__init__.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/metrics/accuracy_metrics_test.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./examples/keras_io/tensorflow/vision/involution.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/callbacks/lambda_callback_test.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/applications/vgg16.py | -1 | python |
keras-team/keras | 18,852 | Add hardswish | james77777778 | 9c62839cbb0e54b7bac09ce20471a0dfaa65ff55 | 724321c7b39a90f6125b79931284aa9932c673a0 | 2023-11-29 22:44:54+00:00 | 2023-11-30 05:45:38+00:00 | Add hardswish. Fix #18842
This PR has introduced HardSwish and replaced custom ops with `layers.HardSwish` in `keras/applications/mobilenet_v3.py` | ./keras/metrics/metric_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/ops/numpy.py | 1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/backend/tensorflow/core.py | 1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/backend/tensorflow/numpy.py | 1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/ops/operation_utils.py | 1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/backend/tensorflow/sparse.py | 1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/backend/tests/compute_output_spec_test.py | 1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/optimizers/nadam_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/models/sequential_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./guides/understanding_masking_and_padding.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/optimizers/loss_scale_optimizer_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./examples/keras_io/tensorflow/generative/ddim.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/backend/numpy/math.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./examples/keras_io/tensorflow/audio/speaker_recognition_using_cnn.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/regularizers/__init__.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/utils/torch_utils_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/rnn/dropout_rnn_cell.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/activations/relu_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/mixed_precision/__init__.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/rnn/simple_rnn_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/core/masking.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./examples/keras_io/vision/learnable_resizer.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./benchmarks/model_benchmark/image_classification_benchmark.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/regularization/spatial_dropout.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./benchmarks/layer_benchmark/base_benchmark.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/convolutional/conv1d.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/pooling/average_pooling2d.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/ops/node.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/applications/mobilenet_v2.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/ops/symbolic_arguments_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/constraints/constraints.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/version.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/applications/mobilenet.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./examples/keras_io/vision/gradient_centralization.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/ops/operation.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/preprocessing/tf_data_layer.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/reshaping/flatten.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/convolutional/depthwise_conv1d.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/core/einsum_dense_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/normalization/unit_normalization_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/utils/dtype_utils.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/legacy/preprocessing/image.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/preprocessing/feature_space_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/metrics/reduction_metrics.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./examples/demo_mnist_convnet.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/backend/jax/distribution_lib.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/optimizers/adamw.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/datasets/california_housing.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/backend/common/stateless_scope.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/callbacks/backup_and_restore_callback_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./examples/keras_io/tensorflow/structured_data/structured_data_classification_from_scratch.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/reshaping/cropping2d_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/preprocessing/random_flip.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/backend/tensorflow/__init__.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/layers/core/input_layer.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./examples/keras_io/tensorflow/structured_data/movielens_recommendations_transformers.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/ops/function_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./examples/keras_io/tensorflow/structured_data/imbalanced_classification.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./examples/demo_custom_tf_workflow.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/legacy/saving/legacy_h5_format_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/optimizers/adamw_test.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./benchmarks/model_benchmark/bert_benchmark.py | -1 | python |
keras-team/keras | 18,847 | Add support for Tensorflow SparseTensors: preserve static shapes. | hertschuh | 331325055407a705745918d683e504f301ad4c9c | df3394d0ee2c33268390811ee039448788150fcd | 2023-11-28 20:45:49+00:00 | 2023-11-29 00:26:44+00:00 | Add support for Tensorflow SparseTensors: preserve static shapes.. Most Tensorflow sparse operation lose the static shape because the shape is only propagated using the `dense_shape` property, which is a tensor and is dynamic.
This is a workaround for this issue to allow static shape to be propagated as expected with Keras ops. | ./keras/initializers/constant_initializers.py | -1 | python |