/aosp_15_r20/external/tensorflow/tensorflow/python/keras/engine/ |
H A D | training_v1.py | 626 sample_weight=None, argument 819 sample_weight=None, argument 1008 sample_weight=None, argument 1099 def test_on_batch(self, x, y=None, sample_weight=None, reset_metrics=True): argument 2105 sample_weight=None, argument 2216 sample_weight=None, argument 2351 def _standardize_tensors(self, x, y, sample_weight, run_eagerly, dict_inputs, argument 2901 sample_weight=None, argument 3021 def sample_weight(self): member in _TrainingEndpoint 3025 def sample_weight(self, value): member in _TrainingEndpoint [all …]
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H A D | training_generator_v1.py | 563 sample_weight=None, argument 598 sample_weight=None, argument 653 sample_weight=None, argument 689 sample_weight=None, argument 733 sample_weight=None, argument 789 sample_weight=None, argument
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H A D | training_utils_v1.py | 721 def standardize_sample_weights(sample_weight, output_names): argument 951 sample_weight=None, argument 1235 def validate_dataset_input(x, y, sample_weight, validation_split=None): argument 1291 def check_generator_arguments(y=None, sample_weight=None, argument 1931 sample_weight=None, argument 1946 sample_weight=None, argument
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H A D | training.py | 891 sample_weight=None, argument 1354 sample_weight=None, argument 1793 sample_weight=None, argument 1859 sample_weight=None, argument
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H A D | training_arrays_v1.py | 610 sample_weight=None, argument 669 sample_weight=None, argument
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H A D | training_distributed_v1.py | 589 sample_weight=None, argument 690 sample_weight=None, argument
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H A D | compile_utils.py | 167 sample_weight=None, argument 433 def update_state(self, y_true, y_pred, sample_weight=None): argument
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H A D | data_adapter.py | 1097 sample_weight=None, argument 1589 def pack_x_y_sample_weight(x, y=None, sample_weight=None): argument 1633 sample_weight=None, argument
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/aosp_15_r20/external/tensorflow/tensorflow/python/keras/ |
H A D | metrics.py | 374 def update_state(self, values, sample_weight=None): argument 575 def update_state(self, y_true, y_pred, sample_weight=None): argument 645 def update_state(self, y_true, y_pred, sample_weight=None): argument 1000 def update_state(self, y_true, y_pred, sample_weight=None): argument 1329 def update_state(self, y_true, y_pred, sample_weight=None): argument 1458 def update_state(self, y_true, y_pred, sample_weight=None): argument 1551 def update_state(self, y_true, y_pred, sample_weight=None): argument 2216 def update_state(self, y_true, y_pred, sample_weight=None): argument 2778 def update_state(self, y_true, y_pred, sample_weight=None): argument 2971 def update_state(self, y_true, y_pred, sample_weight=None): argument [all …]
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H A D | losses.py | 120 def __call__(self, y_true, y_pred, sample_weight=None): argument
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/aosp_15_r20/external/tensorflow/tensorflow/python/ops/losses/ |
H A D | util.py | 30 def squeeze_or_expand_dimensions(y_pred, y_true=None, sample_weight=None): argument 119 def scale_losses_by_sample_weight(losses, sample_weight): argument
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/aosp_15_r20/external/tensorflow/tensorflow/python/keras/utils/ |
H A D | losses_utils.py | 154 def squeeze_or_expand_dimensions(y_pred, y_true=None, sample_weight=None): argument 278 sample_weight=None, argument
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H A D | metrics_utils.py | 511 sample_weight=None, argument
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/aosp_15_r20/external/pytorch/aten/src/ATen/native/quantized/cuda/ |
H A D | EmbeddingBag.cu | 71 accumulate_packed_intx(float4* acc, uint32_t packedVals, float2 scale_bias, float sample_weight) { in accumulate_packed_intx() 141 float sample_weight = use_per_sample ? per_sample_weights_[l] : 1.0f; in embedding_bag_nbits_rowwise_offsets_kernel() local
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/aosp_15_r20/external/tensorflow/tensorflow/python/ops/ |
H A D | nn_impl.py | 412 sample_weight=None, argument
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