update #34
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update #34
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kernel-loophole
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…34) * Begin cosine loss * Add testing for cosine similarity * Fix formatting * Docstring standardization * Formatting * Create numerical_utils
kernel-loophole
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* 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 (#40) * Add golden correctness tests for Adam and SGD * Fix dtype issues * Add binary accuracy (#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 (#42) * Add LambdaCallback * Add Lambda Callback * Add Lambda Callback * Rename lambda_callback_test.py * Add einsum (#43) * Add einsum * address comments * Fix format line length (#45) * Add Embedding layer * Shorten lines * Add .vscode to .gitignore (#46) * rm vscode settings * add .vscode to gitignore * Set demo program backend (#48) * Add tests for training arg resolution in Layer. * Implement mixed precision. * Replace backend.execute with backend.numpy.XXX (#50) * Add cosine similarity loss and update l2_normalize from regularizers (#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 (#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 (#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>
kernel-loophole
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Sep 25, 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 (#40) * Add golden correctness tests for Adam and SGD * Fix dtype issues * Add binary accuracy (#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 (#42) * Add LambdaCallback * Add Lambda Callback * Add Lambda Callback * Rename lambda_callback_test.py * Add einsum (#43) * Add einsum * address comments * Fix format line length (#45) * Add Embedding layer * Shorten lines * Add .vscode to .gitignore (#46) * rm vscode settings * add .vscode to gitignore * Set demo program backend (#48) * Add tests for training arg resolution in Layer. * Implement mixed precision. * Replace backend.execute with backend.numpy.XXX (#50) * Add cosine similarity loss and update l2_normalize from regularizers (#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 (#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 (#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>
kernel-loophole
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Sep 25, 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 (#40) * Add golden correctness tests for Adam and SGD * Fix dtype issues * Add binary accuracy (#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 (#42) * Add LambdaCallback * Add Lambda Callback * Add Lambda Callback * Rename lambda_callback_test.py * Add einsum (#43) * Add einsum * address comments * Fix format line length (#45) * Add Embedding layer * Shorten lines * Add .vscode to .gitignore (#46) * rm vscode settings * add .vscode to gitignore * Set demo program backend (#48) * Add tests for training arg resolution in Layer. * Implement mixed precision. * Replace backend.execute with backend.numpy.XXX (#50) * Add cosine similarity loss and update l2_normalize from regularizers (#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 (#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 (#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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