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    Searched refs:training_utils (Results 1 - 12 of 12) sorted by null

/external/tensorflow/tensorflow/python/keras/engine/
training_utils_test.py	33 from tensorflow.python.keras.engine import training_utils 43 model_inputs = training_utils.ModelInputs(a) 55 model_inputs = training_utils.ModelInputs(a) 66 model_inputs = training_utils.ModelInputs(a) 75 model_inputs = training_utils.ModelInputs(a) 83 model_inputs = training_utils.ModelInputs(a) 92 model_inputs = training_utils.ModelInputs(a) 144 training_utils.assert_not_batched(dataset_fn()) 147 training_utils.assert_not_batched(dataset_fn()) 191 training_utils.assert_not_shuffled(dataset_fn()     [all...]
training_eager.py	30 from tensorflow.python.keras.engine import training_utils 162 aggregated_output_loss = training_utils.call_metric_function( 252 inputs = training_utils.cast_if_floating_dtype(inputs) 253 targets = training_utils.cast_if_floating_dtype(targets) 255 inputs = training_utils.cast_if_floating_dtype( 257 targets = training_utils.cast_if_floating_dtype( 261 training_utils.cast_if_floating_dtype(ops.convert_to_tensor(val)) 303 inputs = training_utils.cast_if_floating_dtype(inputs) 304 targets = training_utils.cast_if_floating_dtype(targets) 306 inputs = training_utils.cast_if_floating_dtype     [all...]
training_arrays.py	33 from tensorflow.python.keras.engine import training_utils 136 steps_per_epoch = training_utils.infer_steps_for_dataset( 156 inputs, targets, sample_weights = training_utils. \ 184 validation_steps = training_utils.infer_steps_for_dataset( 206 progbar = training_utils.get_progbar(model, count_mode) 220 aggregator = training_utils.OutputsAggregator(use_steps, 223 aggregator = training_utils.MetricsAggregator(use_steps, 321 index_array = training_utils.batch_shuffle(index_array, batch_size) 377 training_utils.should_run_validation(validation_freq, epoch) and 448 return training_utils.check_num_samples(ins, batch_size, steps_per_epoch     [all...]
training.py	43 from tensorflow.python.keras.engine import training_utils 312 self.loss_functions = training_utils.prepare_loss_functions( 333 self.loss_weights_list = training_utils.prepare_loss_weights(     [all...]
training_generator.py	33 from tensorflow.python.keras.engine import training_utils 131 steps_per_epoch = training_utils.infer_steps_for_dataset( 176 progbar = training_utils.get_progbar(model, count_mode) 181 aggregator = training_utils.OutputsAggregator(True, steps_per_epoch) 183 aggregator = training_utils.MetricsAggregator(True, steps_per_epoch) 301 training_utils.should_run_validation(validation_freq, epoch) and 489 flat_batch_data = training_utils.slice_arrays(
sequential.py	28 from tensorflow.python.keras.engine import training_utils 161 batch_shape, dtype = training_utils.get_input_shape_and_dtype(layer)
training_distributed.py	35 from tensorflow.python.keras.engine import training_utils 312 steps_per_epoch = training_utils.infer_steps_for_dataset( 420 training_utils.should_run_validation(validation_freq, epoch)): 480 steps = training_utils.infer_steps_for_dataset(dataset, steps, 595 steps = training_utils.infer_steps_for_dataset(dataset, steps,
distributed_training_utils.py	35 from tensorflow.python.keras.engine import training_utils 573 inputs, targets = nest.map_structure(training_utils.standardize_single_array,     [all...]
network.py	38 from tensorflow.python.keras.engine import training_utils     [all...]
/external/tensorflow/tensorflow/python/keras/saving/
saving_utils.py	99 from tensorflow.python.keras.engine import training_utils # pylint: disable=g-import-not-at-top 100 output_names = training_utils.generic_output_names(outputs_list)
/external/tensorflow/tensorflow/python/keras/
callbacks_v1.py	246 from tensorflow.python.keras.engine import training_utils # pylint: disable=g-import-not-at-top 247 self.embeddings_data = training_utils.standardize_input_data(
/external/tensorflow/tensorflow/contrib/tpu/python/tpu/
keras_support.py	86 from tensorflow.python.keras.engine import training_utils     [all...]

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