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__init__ methods in layers/embeddings.py make reference to argument that is not in the argument list #45

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jfsantos opened this issue Apr 14, 2015 · 1 comment

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@jfsantos
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The init methods for both Embedding and WordContextProduct set self.normalize = normalize, but normalize is not an argument of the __init__ method. This causes the IMDB (LSTM) example not to work.

@fchollet
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Just fixed this.

hubingallin pushed a commit to hubingallin/keras that referenced this issue Sep 22, 2023
hubingallin pushed a commit to hubingallin/keras that referenced this issue Sep 22, 2023
* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
hubingallin pushed a commit to hubingallin/keras that referenced this issue Sep 22, 2023
…m#72)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

* Adds clip norm and clip value tests to Adam

* Adds Adagrad and Adadelta optimizers

* Applies fixes to formatting and deletes unnecessary kwargs

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
hubingallin pushed a commit to hubingallin/keras that referenced this issue Sep 22, 2023
…rl) (keras-team#80)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

* Adds clip norm and clip value tests to Adam

* Adds Adagrad and Adadelta optimizers

* Applies fixes to formatting and deletes unnecessary kwargs

* Adds Adamax and Adafactor and associated tests

* Adds Nadam and Ftrl optimizers and associated tests

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
pnacht pushed a commit to pnacht/keras that referenced this issue Nov 10, 2023
pnacht pushed a commit to pnacht/keras that referenced this issue Nov 10, 2023
* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
pnacht pushed a commit to pnacht/keras that referenced this issue Nov 10, 2023
…m#72)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

* Adds clip norm and clip value tests to Adam

* Adds Adagrad and Adadelta optimizers

* Applies fixes to formatting and deletes unnecessary kwargs

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
pnacht pushed a commit to pnacht/keras that referenced this issue Nov 10, 2023
…rl) (keras-team#80)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

* Adds clip norm and clip value tests to Adam

* Adds Adagrad and Adadelta optimizers

* Applies fixes to formatting and deletes unnecessary kwargs

* Adds Adamax and Adafactor and associated tests

* Adds Nadam and Ftrl optimizers and associated tests

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
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