Goldie Gadde f923fa474b

Merge pull request #41483 from tomerk/cherrypicks_DC0YA ...

Raise an error when some but not all values passed to the first layer…

2020-07-17 12:07:45 -07:00

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__init__.py

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base_layer_test.py

Fix a critical breakage in training argument default value in inference for

2020-06-25 15:26:51 -07:00

base_layer_utils_test.py

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base_layer_utils.py

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base_layer_v1.py

Explicitly raise a (clearer) error message when models end up in invalid states due to interleaving graph and eager.

2020-07-14 11:45:20 -07:00

base_layer.py

Relax the error about functional api construction w/ a mix of symbolic and non-symbolic tensors for built-in layers (such as layers.add and layers.multiply where using constants is a common user pattern)

2020-07-16 21:40:28 -07:00

base_preprocessing_layer_test.py

In .adapt, don't freeze any shape values, only the number of dimensions.

2020-06-19 20:39:32 -07:00

base_preprocessing_layer_v1.py

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base_preprocessing_layer.py

In .adapt, don't freeze any shape values, only the number of dimensions.

2020-06-19 20:39:32 -07:00

BUILD

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compile_utils_test.py

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compile_utils.py

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control_flow_test.py

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correctness_test.py

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data_adapter_test.py

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data_adapter.py

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deferred_sequential_test.py

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feature_columns_integration_test.py

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functional_test.py

Merge pull request #41483 from tomerk/cherrypicks_DC0YA

2020-07-17 12:07:45 -07:00

functional.py

Fix input mapping issue when model is constructed/tested with dict input tensor.

2020-06-22 18:28:15 -07:00

input_layer.py

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input_spec_test.py

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input_spec.py

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keras_tensor.py

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node_test.py

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node.py

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partial_batch_padding_handler.py

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saving.py

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sequential_test.py

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sequential.py

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training_arrays_test.py

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training_arrays.py

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training_dataset_test.py

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training_distributed.py

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training_eager_test.py

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training_eager.py

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training_generator_test.py

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training_generator.py

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training_gpu_test.py

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training_integration_test.py

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training_test.py

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training_utils_test.py

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training_utils.py

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training_v1.py

Explicitly raise a (clearer) error message when models end up in invalid states due to interleaving graph and eager.

2020-07-14 11:45:20 -07:00

training.py

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