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 |
End of preview. Expand
in Dataset Viewer.
README.md exists but content is empty.
Use the Edit dataset card button to edit it.
- Downloads last month
- 0