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keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
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- tri
- eye | ./keras/ops/numpy_test.py | 1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/ops/numpy.py | 1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
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- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/backend/tensorflow/numpy.py | 1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/backend/numpy/numpy.py | 1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/backend/jax/numpy.py | 1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/backend/torch/numpy.py | 1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/pooling/average_pooling1d.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/optimizers/adamax_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/applications/efficientnet_v2.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/convolutional/base_depthwise_conv.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/merging/multiply.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/ops/math_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./guides/functional_api.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/optimizers/adamw_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/callbacks/csv_logger_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/metrics/probabilistic_metrics.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/optimizers/ftrl.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/trainers/data_adapters/data_adapter_utils.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/attention/grouped_query_attention.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/datasets/__init__.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/regularizers/regularizers.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./benchmarks/layer_benchmark/__init__.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/rnn/bidirectional_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/saving/serialization_lib_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./guides/writing_your_own_callbacks.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/merging/dot.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./guides/training_with_built_in_methods.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/trainers/compile_utils_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/backend/numpy/core.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/backend/jax/rnn.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/rnn/conv_lstm_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/backend/jax/distribution_lib.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/callbacks/learning_rate_scheduler.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/metrics/hinge_metrics_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/ops/image.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/testing/test_case.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/utils/tracking_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/convolutional/conv1d.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./examples/keras_io/nlp/neural_machine_translation_with_transformer.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/merging/average.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/preprocessing/discretization_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/activations/prelu_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/backend/jax/distribution_lib_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/random/seed_generator_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/normalization/spectral_normalization_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/utils/numerical_utils.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/datasets/boston_housing.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/applications/convnext.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./examples/keras_io/tensorflow/structured_data/structured_data_classification_from_scratch.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/pooling/global_max_pooling_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/rnn/simple_rnn_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/metrics/reduction_metrics_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/backend/jax/random.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/core/einsum_dense_test.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/regularization/gaussian_noise.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/backend/common/name_scope.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./examples/keras_io/vision/latent_walk.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/pooling/base_pooling.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./examples/keras_io/tensorflow/vision/image_captioning.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/random/__init__.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/preprocessing/category_encoding.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./examples/demo_custom_layer_backend_agnostic.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/ops/operation.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/optimizers/optimizer.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/metrics/__init__.py | -1 | python |
keras-team/keras | 18,998 | Replace `tfnp` with native tf ops wherever possible | james77777778 | 8e897fba1f553734dcd30a09d35784ea8626e472 | 86bd12ce703f0b0f90a33d34a1d88b2d0101d966 | 2023-12-26 20:05:17+00:00 | 2023-12-28 21:51:35+00:00 | Replace `tfnp` with native tf ops wherever possible. tf ops should be less buggy and more battle-tested. Some `tf.cond` used by `tfnp.*` could also be eliminated.
In addition, this PR adds dtype inference for `floor_divide`, which was missing before.
The following are left to be `tfnp.*` because they are much more complex to implement using native tf ops:
- max
- average
- copy
- cross
- diag
- diagonal
- diff
- linspace
- logspace
- min
- moveaxis
- roll
- swapaxes
- take
- take_along_axis
- trace
- tri
- eye | ./keras/layers/preprocessing/random_flip_test.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/layers/reshaping/cropping2d.py | 1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/layers/reshaping/cropping3d.py | 1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/layers/reshaping/cropping3d_test.py | 1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/layers/reshaping/cropping2d_test.py | 1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/layers/reshaping/cropping1d_test.py | 1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/layers/reshaping/cropping1d.py | 1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/backend/tensorflow/distribute_test.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/metrics/iou_metrics_test.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/callbacks/remote_monitor_test.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/layers/reshaping/zero_padding1d.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./examples/keras_io/tensorflow/generative/deep_dream.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/layers/convolutional/__init__.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./benchmarks/torch_ctl_benchmark/dense_model_benchmark.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/__init__.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/layers/normalization/batch_normalization.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/backend/tensorflow/tensorboard.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/legacy/preprocessing/__init__.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/models/cloning_test.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/backend/jax/numpy.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/random/random_test.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./guides/making_new_layers_and_models_via_subclassing.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./examples/keras_io/vision/attention_mil_classification.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./benchmarks/layer_benchmark/normalization_benchmark.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./examples/demo_subclass.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/layers/preprocessing/random_translation.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./examples/demo_jax_distributed.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/datasets/california_housing.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/applications/__init__.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/layers/attention/attention_test.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./guides/writing_a_custom_training_loop_in_torch.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./examples/keras_io/vision/deeplabv3_plus.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./examples/keras_io/vision/conv_lstm.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/losses/loss_test.py | -1 | python |
keras-team/keras | 18,974 | Correct the Error description in cropping layer APIs | SuryanarayanaY | e51ecdd624518912128b070690ee94719b687332 | fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd | 2023-12-20 12:59:22+00:00 | 2023-12-21 06:10:46+00:00 | Correct the Error description in cropping layer APIs. The cropping layer APIs like Cropping2D,Cropping3D and Cropping1D, have cropping parameter which should be smaller than the input(or image) size. This is validating like below.
https://github.com/keras-team/keras/blob/4a4a139c7aada9f4495620e5a1c5f7ef20d84395/keras/layers/reshaping/cropping2d.py#L94-L102
But the error description above states cropping should be `greater` than input which actually should be `smaller` than input. Reference [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/b27ecffe8781337f36dafa35dc7c5791/cropping_exception_error.ipynb) for demo. | ./keras/utils/model_visualization.py | -1 | python |