repo_name stringclasses 28 values | pr_number int64 1.86k 122k | pr_title stringlengths 5 204 | author stringlengths 3 58 | git_commit_prev stringlengths 40 40 | git_commit_curr stringlengths 40 40 | date_created stringlengths 25 25 | date_merged stringlengths 25 25 | query stringlengths 12 65.6k | context_file_path stringlengths 6 233 | label int64 -1 1 | language stringclasses 5 values |
|---|---|---|---|---|---|---|---|---|---|---|---|
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_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
- roll
- 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 |
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