/aosp_15_r20/external/tensorflow/tensorflow/python/keras/ |
H A D | losses.py | 1216 y_pred = ops.convert_to_tensor_v2_with_dispatch(y_pred) 1344 y_pred = ops.convert_to_tensor_v2_with_dispatch(y_pred) 1383 y_pred = ops.convert_to_tensor_v2_with_dispatch(y_pred) 1429 y_pred = ops.convert_to_tensor_v2_with_dispatch(y_pred) 1486 y_pred = ops.convert_to_tensor_v2_with_dispatch(y_pred) 1519 y_pred = ops.convert_to_tensor_v2_with_dispatch(y_pred) 1552 y_pred = ops.convert_to_tensor_v2_with_dispatch(y_pred) 1587 half = ops.convert_to_tensor_v2_with_dispatch(0.5, dtype=abs_error.dtype) 1624 y_pred = ops.convert_to_tensor_v2_with_dispatch(y_pred) 1667 y_pred = ops.convert_to_tensor_v2_with_dispatch(y_pred) [all …]
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H A D | metrics.py | 1026 return ops.convert_to_tensor_v2_with_dispatch(result) 3445 y_pred = ops.convert_to_tensor_v2_with_dispatch(y_pred) 3503 y_pred = ops.convert_to_tensor_v2_with_dispatch(y_pred) 3504 y_true = ops.convert_to_tensor_v2_with_dispatch(y_true) 3571 y_pred_rank = ops.convert_to_tensor_v2_with_dispatch(y_pred).shape.ndims 3572 y_true_rank = ops.convert_to_tensor_v2_with_dispatch(y_true).shape.ndims
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/aosp_15_r20/external/tensorflow/tensorflow/python/ops/linalg/ |
H A D | linear_operator_util.py | 114 return ops.convert_to_tensor_v2_with_dispatch( 189 x = ops.convert_to_tensor_v2_with_dispatch(x, name="x") 192 zero = ops.convert_to_tensor_v2_with_dispatch(0, dtype=dtype.real_dtype) 208 x = ops.convert_to_tensor_v2_with_dispatch(x, name="x") 214 zero = ops.convert_to_tensor_v2_with_dispatch(0, dtype=dtype.real_dtype) 261 return ops.convert_to_tensor_v2_with_dispatch(shape, dtype=dtype, name=name) 323 batch_matrices[i] = ops.convert_to_tensor_v2_with_dispatch(mat) 366 matrix = ops.convert_to_tensor_v2_with_dispatch(matrix, name="matrix") 367 rhs = ops.convert_to_tensor_v2_with_dispatch( 527 arg_dims = [ops.convert_to_tensor_v2_with_dispatch(
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H A D | linear_operator_block_diag.py | 278 return ops.convert_to_tensor_v2_with_dispatch( 368 block = ops.convert_to_tensor_v2_with_dispatch(block) 373 x = ops.convert_to_tensor_v2_with_dispatch(x, name="x") 444 block = ops.convert_to_tensor_v2_with_dispatch(block) 452 x = ops.convert_to_tensor_v2_with_dispatch(x, name="x") 569 block = ops.convert_to_tensor_v2_with_dispatch(block) 574 rhs = ops.convert_to_tensor_v2_with_dispatch(rhs, name="rhs") 644 block = ops.convert_to_tensor_v2_with_dispatch(block) 652 rhs = ops.convert_to_tensor_v2_with_dispatch(rhs, name="rhs")
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H A D | linear_operator_block_lower_triangular.py | 384 return ops.convert_to_tensor_v2_with_dispatch( 451 block = ops.convert_to_tensor_v2_with_dispatch(block) 456 x = ops.convert_to_tensor_v2_with_dispatch(x, name="x") 561 block = ops.convert_to_tensor_v2_with_dispatch(block) 569 x = ops.convert_to_tensor_v2_with_dispatch(x, name="x") 692 block = ops.convert_to_tensor_v2_with_dispatch(block) 702 rhs = ops.convert_to_tensor_v2_with_dispatch(rhs, name="rhs") 813 block = ops.convert_to_tensor_v2_with_dispatch(block) 820 rhs = ops.convert_to_tensor_v2_with_dispatch(rhs, name="rhs")
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H A D | linear_operator_toeplitz.py | 217 col = ops.convert_to_tensor_v2_with_dispatch(self.col) 218 row = ops.convert_to_tensor_v2_with_dispatch(self.row) 244 row = ops.convert_to_tensor_v2_with_dispatch(self.row) 245 col = ops.convert_to_tensor_v2_with_dispatch(self.col)
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H A D | linear_operator.py | 423 return ops.convert_to_tensor_v2_with_dispatch(self.tensor_rank) 467 return ops.convert_to_tensor_v2_with_dispatch(dim_value) 511 return ops.convert_to_tensor_v2_with_dispatch(dim_value) 679 x = ops.convert_to_tensor_v2_with_dispatch(x, name="x") 726 x = ops.convert_to_tensor_v2_with_dispatch(x, name="x") 872 rhs = ops.convert_to_tensor_v2_with_dispatch(rhs, name="rhs") 929 rhs = ops.convert_to_tensor_v2_with_dispatch(rhs, name="rhs") 1092 x = ops.convert_to_tensor_v2_with_dispatch(x, name="x")
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H A D | linear_operator_circulant.py | 115 length_scale = ops.convert_to_tensor_v2_with_dispatch( 120 power = ops.convert_to_tensor_v2_with_dispatch( 123 divisor = ops.convert_to_tensor_v2_with_dispatch( 146 zero_inflation = ops.convert_to_tensor_v2_with_dispatch( 507 spectrum = ops.convert_to_tensor_v2_with_dispatch(spectrum, name="spectrum") 542 return ops.convert_to_tensor_v2_with_dispatch(
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H A D | linear_operator_permutation.py | 210 perm = ops.convert_to_tensor_v2_with_dispatch(self.perm) 245 perm = ops.convert_to_tensor_v2_with_dispatch(self.perm) 251 perm = ops.convert_to_tensor_v2_with_dispatch(self.perm)
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H A D | linear_operator_householder.py | 205 reflection_axis = ops.convert_to_tensor_v2_with_dispatch( 236 reflection_axis = ops.convert_to_tensor_v2_with_dispatch( 245 reflection_axis = ops.convert_to_tensor_v2_with_dispatch(
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H A D | linear_operator_tridiag.py | 256 diagonals = ops.convert_to_tensor_v2_with_dispatch(self.diagonals) 364 ops.convert_to_tensor_v2_with_dispatch(d) for d in self.diagonals
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H A D | linear_operator_low_rank_update.py | 368 u = ops.convert_to_tensor_v2_with_dispatch(self.u) 372 v = ops.convert_to_tensor_v2_with_dispatch(self.v)
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H A D | linear_operator_identity.py | 406 mat = ops.convert_to_tensor_v2_with_dispatch(mat, name="mat") 760 mat = ops.convert_to_tensor_v2_with_dispatch(mat, name="mat")
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H A D | linear_operator_full_matrix.py | 166 matrix = ops.convert_to_tensor_v2_with_dispatch(matrix, name="matrix")
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/aosp_15_r20/external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
H A D | learning_rate_schedule.py | 178 initial_learning_rate = ops.convert_to_tensor_v2_with_dispatch( 272 boundaries = nest.map_structure(ops.convert_to_tensor_v2_with_dispatch, 274 values = nest.map_structure(ops.convert_to_tensor_v2_with_dispatch, 276 x_recomp = ops.convert_to_tensor_v2_with_dispatch(step) 409 initial_learning_rate = ops.convert_to_tensor_v2_with_dispatch( 529 initial_learning_rate = ops.convert_to_tensor_v2_with_dispatch( 624 initial_learning_rate = ops.convert_to_tensor_v2_with_dispatch( 724 initial_learning_rate = ops.convert_to_tensor_v2_with_dispatch( 861 initial_learning_rate = ops.convert_to_tensor_v2_with_dispatch( 987 initial_learning_rate = ops.convert_to_tensor_v2_with_dispatch(
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H A D | legacy_learning_rate_decay.py | 148 boundaries = nest.map_structure(ops.convert_to_tensor_v2_with_dispatch, 150 values = nest.map_structure(ops.convert_to_tensor_v2_with_dispatch, 152 x_recomp = ops.convert_to_tensor_v2_with_dispatch(x)
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H A D | adam.py | 145 epsilon=ops.convert_to_tensor_v2_with_dispatch( 398 epsilon=ops.convert_to_tensor_v2_with_dispatch(
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H A D | adadelta.py | 93 epsilon=ops.convert_to_tensor_v2_with_dispatch(
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H A D | adagrad.py | 95 epsilon=ops.convert_to_tensor_v2_with_dispatch(
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H A D | adamax.py | 122 epsilon=ops.convert_to_tensor_v2_with_dispatch(
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/aosp_15_r20/external/tensorflow/tensorflow/python/keras/utils/ |
H A D | losses_utils.py | 119 predictions = ops.convert_to_tensor_v2_with_dispatch(predictions) 121 labels = ops.convert_to_tensor_v2_with_dispatch(labels) 313 losses = ops.convert_to_tensor_v2_with_dispatch(losses) 317 sample_weight = ops.convert_to_tensor_v2_with_dispatch(sample_weight)
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/aosp_15_r20/external/tensorflow/tensorflow/python/keras/engine/ |
H A D | training_eager_v1.py | 121 inputs = nest.map_structure(ops.convert_to_tensor_v2_with_dispatch, inputs) 133 ops.convert_to_tensor_v2_with_dispatch(val))
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H A D | base_layer_v1.py | 697 return ops.convert_to_tensor_v2_with_dispatch(x) 1038 loss = ops.convert_to_tensor_v2_with_dispatch( 1054 loss = ops.convert_to_tensor_v2_with_dispatch( 1216 update = ops.convert_to_tensor_v2_with_dispatch(x)
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/aosp_15_r20/external/tensorflow/tensorflow/python/keras/mixed_precision/ |
H A D | loss_scale_optimizer.py | 210 return ops.convert_to_tensor_v2_with_dispatch(self._current_loss_scale) 461 return ops.convert_to_tensor_v2_with_dispatch( 464 return ops.convert_to_tensor_v2_with_dispatch(self._loss_scale)
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H A D | autocast_variable.py | 141 return ops.convert_to_tensor_v2_with_dispatch(self._variable, dtype=dtype, 148 val = ops.convert_to_tensor_v2_with_dispatch(
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