/external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
D | quantized_distribution.py | 466 j += array_ops.zeros_like(result_so_far) 474 array_ops.zeros_like(result_so_far), 499 j += array_ops.zeros_like(result_so_far) 504 array_ops.zeros_like(result_so_far), 533 j += array_ops.zeros_like(result_so_far) 538 array_ops.zeros_like(result_so_far), 566 j += array_ops.zeros_like(result_so_far) 575 array_ops.zeros_like(result_so_far),
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D | geometric.py | 165 array_ops.zeros_like(x), 178 array_ops.zeros_like(probs),
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D | binomial.py | 250 probs += array_ops.zeros_like(counts) 251 counts += array_ops.zeros_like(self.probs)
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/external/tensorflow/tensorflow/lite/kernels/ |
D | zeros_like.cc | 23 namespace zeros_like { namespace 67 zeros_like::Prepare, zeros_like::Eval}; in Register_ZEROS_LIKE()
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/external/tensorflow/tensorflow/contrib/sparsemax/python/ops/ |
D | sparsemax_loss.py | 62 sparsemax * (z - 0.5 * sparsemax), array_ops.zeros_like(sparsemax)) 74 array_ops.zeros_like(z), q_part)
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/external/tensorflow/tensorflow/contrib/nn/python/ops/ |
D | fwd_gradients.py | 55 us = [array_ops.zeros_like(y) + float('nan') for y in ys] 69 dydxs = [array_ops.zeros_like(x) if dydx is None else dydx
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/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
D | moving_stats_test.py | 41 mean_var = variables.VariableV1(array_ops.zeros_like(true_mean)) 118 log_mean_exp_var = variables.VariableV1(array_ops.zeros_like(true_mean)) 122 expected_ = np.zeros_like(true_mean)
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/external/tensorflow/tensorflow/contrib/crf/python/ops/ |
D | crf.py | 98 array_ops.zeros_like(sequence_scores), 193 array_ops.zeros_like(log_norm), 217 array_ops.zeros_like(log_norm), 406 trellis = np.zeros_like(score) 407 backpointers = np.zeros_like(score, dtype=np.int32)
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/external/tensorflow/tensorflow/python/ops/distributions/ |
D | laplace.py | 201 scale = self.scale + array_ops.zeros_like(self.loc) 205 return self.loc + array_ops.zeros_like(self.scale) 208 return math.sqrt(2.) * self.scale + array_ops.zeros_like(self.loc)
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D | special_math.py | 250 return array_ops.zeros_like(var) 401 even_sum = array_ops.zeros_like(x) 402 odd_sum = array_ops.zeros_like(x)
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/external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
D | matrix_inverse_tril.py | 146 above_diagonal, array_ops.zeros_like(above_diagonal), 152 diag_part, array_ops.zeros_like(diag_part),
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D | fill_triangular.py | 103 return array_ops.zeros_like(x[..., 0]) 106 return array_ops.zeros_like(y[..., 0, 0])
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/external/tensorflow/tensorflow/python/kernel_tests/signal/ |
D | dct_ops_test.py | 51 dct = np.zeros_like(signals) 63 dct = np.zeros_like(signals) 90 dct = np.zeros_like(signals)
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/external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/ |
D | losses.py | 136 zeros = array_ops.zeros_like(probs_for_real_class, dtype=logits.dtype) + eps 232 zeros = array_ops.zeros_like(logits, dtype=logits.dtype) 306 zeros = array_ops.zeros_like(logits, dtype=logits.dtype)
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/external/tensorflow/tensorflow/python/ops/ |
D | sparse_grad.py | 237 array_ops.zeros_like(y), 323 array_ops.zeros_like(sparse_indices), 324 array_ops.zeros_like(output_shape), sparse_values_grad, default_value_grad
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D | accumulate_n_benchmark.py | 55 init=array_ops.zeros_like(inputs[0]), 62 init=array_ops.zeros_like(gen_control_flow_ops.merge(inputs)[0]),
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D | math_grad.py | 259 zeros = array_ops.zeros_like(op.inputs[0], dtype=op.inputs[0].dtype) 293 zero_clipped_indices = math_ops.maximum(ids, array_ops.zeros_like(ids)) 305 zero_slice = array_ops.zeros_like(gathered) 325 zeros = array_ops.zeros_like(gathered_grads) 371 array_ops.zeros_like(grad), grad) 379 array_ops.zeros_like(op.inputs[1])) 682 zeros = array_ops.zeros_like(x) 1074 log_x = array_ops.where(mask, math_ops.log(safe_x), array_ops.zeros_like(x)) 1143 zeros = array_ops.zeros_like(x) 1324 return (math_ops.complex(grad, array_ops.zeros_like(grad)) * math_ops.sign(
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/external/tensorflow/tensorflow/contrib/layers/python/ops/ |
D | sparse_ops.py | 152 zeros_like_indicators = array_ops.zeros_like( 226 zeros = array_ops.zeros_like(row_envelope)
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/external/tensorflow/tensorflow/contrib/solvers/python/kernel_tests/ |
D | linear_equations_test.py | 50 jacobi_np = np.zeros_like(a_np) 55 x_np = np.zeros_like(rhs_np)
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/external/tensorflow/tensorflow/contrib/labeled_tensor/ |
D | __init__.py | 117 zeros_like = _ops.zeros_like variable
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/external/tensorflow/tensorflow/contrib/opt/python/training/ |
D | shampoo.py | 146 mat_g_init = array_ops.zeros_like(linalg_ops.eye(d_tensor)) 404 array_ops.zeros_like(mat_g_updated_slice)) 413 array_ops.zeros_like(mat_g_updated))
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D | shampoo_test.py | 491 grad_dense = np.zeros_like(init_var_np) 624 mat_g1 = np.zeros_like(mat_g1_a) 626 mat_g2 = np.zeros_like(mat_g2_a) 628 mat_g3 = np.zeros_like(mat_g3_a) 701 mat_g1 = np.zeros_like(mat_g1_a) 703 mat_g2 = np.zeros_like(mat_g2_a) 705 mat_g3 = np.zeros_like(mat_g3_a)
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/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
D | periodic.py | 160 array_ops.zeros_like(period_additions_diag[..., :-1, 0:1]), 166 array_ops.zeros_like(period_additions_diag[..., 0:1, :-1]), 527 zeroed = array_ops.where(zeros_mask, array_ops.zeros_like(meshed), meshed)
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/external/tensorflow/tensorflow/examples/adding_an_op/ |
D | zero_out_grad_2.py | 41 index = array_ops.zeros_like(shape)
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/external/tensorflow/tensorflow/python/distribute/ |
D | numpy_dataset_test.py | 35 initial = np.zeros_like(x)
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