/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | array_test.py | 38 x = random_ops.random_uniform([3, 3, 3]) 56 x = random_ops.random_uniform([3, 2, 3]) 65 x = random_ops.random_uniform([3, 2, 3]) 74 x = random_ops.random_uniform([3, 2, 3]) 83 x = random_ops.random_uniform([3, 2, 3]) 84 y = random_ops.random_uniform([3]) 96 x = random_ops.random_uniform([3, 2, 3]) 105 x = random_ops.random_uniform([3, 2, 3]) 116 x = random_ops.random_uniform([3, 2, 3]) 125 x = random_ops.random_uniform([3, 2, 3]) [all …]
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D | math_test.py | 93 x = random_ops.random_uniform([3, 5]) 96 y = random_ops.random_uniform([3, 5]) 127 x = random_ops.random_uniform([3, 5]) 189 x = random_ops.random_uniform([7, 3, 5]) 190 y = random_ops.random_uniform([3, 5]) 209 x = random_ops.random_uniform([3, 5]) 210 y = random_ops.random_uniform([3, 5]) 220 x = random_ops.random_uniform([2, 3, 5]) 221 y = random_ops.random_uniform([3, 5]) 222 z = random_ops.random_uniform([3, 5]) [all …]
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D | control_flow_ops_test.py | 66 x = random_ops.random_uniform([3, 2, 4]) 82 x = random_ops.random_uniform([8, 3]) 109 x = random_ops.random_uniform([8, 3]) 123 x = random_ops.random_uniform([8, 3]) 135 x = random_ops.random_uniform([8, 3]) 147 x = random_ops.random_uniform([8, 3]) 164 x = random_ops.random_uniform([8, 3]) 178 x = random_ops.random_uniform([8, 3]) 194 x = random_ops.random_uniform([7, 3, 5], maxval=10, dtype=dtypes.int32) 213 x = random_ops.random_uniform([7, 3, 5], maxval=10, dtype=dtypes.int32) [all …]
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/external/tensorflow/tensorflow/python/layers/ |
D | convolutional_test.py | 41 images = random_ops.random_uniform((5, height, width, 3), seed=1) 47 images = random_ops.random_uniform((5, height, width, 3), seed=1) 56 images = random_ops.random_uniform((5, height, width, 3), seed=1) 66 images = random_ops.random_uniform((5, height, width, 4)) 77 images = random_ops.random_uniform((5, height, width, 4), dtype='float16') 84 images = random_ops.random_uniform((5, height, width, 4)) 95 images = random_ops.random_uniform((5, 4, height, width)) 121 images = random_ops.random_uniform((5, height, width, 32), seed=1) 129 images = random_ops.random_uniform((5, height, width, 3), seed=1) 150 data = random_ops.random_uniform((5, width, 4)) [all …]
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D | pooling_test.py | 32 images = random_ops.random_uniform((5, height, width, 3), seed=1) 38 images = random_ops.random_uniform((5, height, width, 3), seed=1) 47 images = random_ops.random_uniform((5, height, width, 3), seed=1) 56 images = random_ops.random_uniform((5, height, width, 4)) 63 images = random_ops.random_uniform((5, height, width, 4)) 71 images = random_ops.random_uniform((5, 2, height, width)) 81 images = random_ops.random_uniform((3, 4, height, width)) 104 images = random_ops.random_uniform((5, width, channels)) 113 images = random_ops.random_uniform((5, width, channels)) 122 images = random_ops.random_uniform((5, channels, width)) [all …]
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D | core_test.py | 56 dense.apply(random_ops.random_uniform((5, 2))) 59 dense.apply(random_ops.random_uniform((5, 2))) 74 inputs = random_ops.random_uniform((5, 4), seed=1) 91 inputs = random_ops.random_uniform((5, 4), seed=1) 98 inputs = random_ops.random_uniform((5, 4, 3), seed=1) 105 inputs = random_ops.random_uniform((5, 2), seed=1) 119 inputs = random_ops.random_uniform((5, 2), seed=1) 132 inputs = random_ops.random_uniform((5, 3), seed=1) 136 inputs = random_ops.random_uniform((5, 2, 3), seed=1) 140 inputs = random_ops.random_uniform((1, 2, 4, 3), seed=1) [all …]
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/external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
D | vgg_test.py | 38 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 49 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 61 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 77 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 111 eval_inputs = random_ops.random_uniform((batch_size, height, width, 3)) 125 train_inputs = random_ops.random_uniform( 131 eval_inputs = random_ops.random_uniform( 145 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 159 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 170 inputs = random_ops.random_uniform((batch_size, height, width, 3)) [all …]
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D | inception_v3_test.py | 43 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 56 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 81 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 92 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 125 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 137 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 161 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 182 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 203 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 214 inputs = random_ops.random_uniform((batch_size, height, width, 3)) [all …]
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D | inception_v2_test.py | 43 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 56 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 78 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 89 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 119 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 131 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 152 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 173 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 184 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 221 images = random_ops.random_uniform((batch_size, height, width, 3)) [all …]
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D | overfeat_test.py | 37 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 48 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 59 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 74 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 102 eval_inputs = random_ops.random_uniform((batch_size, height, width, 3)) 116 train_inputs = random_ops.random_uniform( 122 eval_inputs = random_ops.random_uniform( 136 inputs = random_ops.random_uniform((batch_size, height, width, 3))
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D | alexnet_test.py | 37 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 48 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 59 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 74 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 102 eval_inputs = random_ops.random_uniform((batch_size, height, width, 3)) 116 train_inputs = random_ops.random_uniform( 122 eval_inputs = random_ops.random_uniform( 136 inputs = random_ops.random_uniform((batch_size, height, width, 3))
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D | inception_v1_test.py | 43 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 56 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 80 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 91 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 123 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 134 inputs = random_ops.random_uniform((batch_size, height, width, 3)) 168 images = random_ops.random_uniform((batch_size, height, width, 3)) 180 eval_inputs = random_ops.random_uniform((batch_size, height, width, 3)) 196 train_inputs = random_ops.random_uniform( 199 eval_inputs = random_ops.random_uniform((eval_batch_size, height, width, 3)) [all …]
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/external/tensorflow/tensorflow/python/grappler/ |
D | cluster_test.py | 36 a = random_ops.random_uniform(shape=()) 37 b = random_ops.random_uniform(shape=()) 53 a = random_ops.random_uniform(shape=()) 54 b = random_ops.random_uniform(shape=()) 71 a = random_ops.random_uniform(shape=()) 72 b = random_ops.random_uniform(shape=()) 91 a = random_ops.random_uniform(shape=[1024, 1024]) 92 b = random_ops.random_uniform(shape=[1024, 1024]) 118 a = random_ops.random_uniform(shape=()) 119 b = random_ops.random_uniform(shape=()) [all …]
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/external/tensorflow/tensorflow/python/eager/ |
D | pywrap_tfe_test.py | 41 a_2_by_2 = random_ops.random_uniform((2, 2)) 42 b_2_by_2 = random_ops.random_uniform((2, 2)) 44 a_100_by_784 = random_ops.random_uniform((100, 784)) 45 b_100_by_784 = random_ops.random_uniform((100, 784)) 109 a_2_by_2 = random_ops.random_uniform((2, 2)) 110 b_2_by_2 = random_ops.random_uniform((2, 2)) 123 a_2_by_2 = random_ops.random_uniform((2, 2)) 124 b_2_by_2 = random_ops.random_uniform((2, 2)) 142 a_2_by_2 = random_ops.random_uniform((2, 2)) 143 b_2_by_2 = random_ops.random_uniform((2, 2)) [all …]
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/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
D | layers_test.py | 80 images = random_ops.random_uniform((5, height, width, 3), seed=1) 88 images = random_ops.random_uniform((5, height, width, 3), seed=1) 95 images = random_ops.random_uniform((5, height, width, 3), seed=1) 101 images = random_ops.random_uniform((5, height, width, 3), seed=1) 107 images = random_ops.random_uniform((5, 3, height, width), seed=1) 114 images = random_ops.random_uniform((5, height, width, 3), seed=1) 120 images = random_ops.random_uniform((5, height, width, 3), seed=1) 150 images = random_ops.random_uniform((5, depth, height, width, 3), seed=1) 159 images = random_ops.random_uniform((5, depth, height, width, 3), seed=1) 166 images = random_ops.random_uniform((5, depth, height, width, 3), seed=1) [all …]
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D | normalization_test.py | 57 images = random_ops.random_uniform((5, height, width, 3), seed=1) 66 images = random_ops.random_uniform( 75 images = random_ops.random_uniform( 86 images = random_ops.random_uniform((5, height, width, 3), seed=1) 95 images = random_ops.random_uniform((5, height, width, 3), seed=1) 106 images = random_ops.random_uniform(image_shape, seed=1) 130 inputs = random_ops.random_uniform(input_shape, seed=0) * sigma + mu 235 images = random_ops.random_uniform((5, height, width, 2*groups), seed=1) 243 images = random_ops.random_uniform( 251 images = random_ops.random_uniform( [all …]
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D | rev_block_lib_test.py | 53 x = random_ops.random_uniform( 76 y = random_ops.random_uniform( 116 x = random_ops.random_uniform( 165 f_side_input = random_ops.random_uniform( 186 x = random_ops.random_uniform( 206 x = random_ops.random_uniform( 270 x = random_ops.random_uniform((3, 1, 3)) 387 layer_list = [random_ops.random_uniform((4, 8))] 396 x = random_ops.random_uniform((4, 8)) 397 y = random_ops.random_uniform((4, 8))
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/external/tensorflow/tensorflow/contrib/eager/python/examples/densenet/ |
D | densenet_test.py | 49 rand_input = tf.random_uniform((batch_size, 32, 32, 3)) 51 rand_input = tf.random_uniform((batch_size, 3, 32, 32)) 72 rand_input = tf.random_uniform((batch_size, 32, 32, 3)) 74 rand_input = tf.random_uniform((batch_size, 3, 32, 32)) 95 rand_input = tf.random_uniform((batch_size, 32, 32, 3)) 97 rand_input = tf.random_uniform((batch_size, 3, 32, 32)) 103 rand_input = tf.random_uniform((10, 3, 32, 32)) 106 rand_input = tf.random_uniform((10, 32, 32, 3)) 166 images = tf.random_uniform(shape) 167 labels = tf.random_uniform(
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | ctc_loss_op_test.py | 317 labels = random_ops.random_uniform( 320 logits = random_ops.random_uniform([num_frames, batch_size, num_labels]) 322 label_length = random_ops.random_uniform( 362 logits = random_ops.random_uniform([num_frames, batch_size, num_labels]) 363 labels = random_ops.random_uniform( 367 label_lengths = random_ops.random_uniform( 415 logits = random_ops.random_uniform([num_frames, batch_size, num_labels]) 416 labels = random_ops.random_uniform( 420 label_lengths = random_ops.random_uniform( 469 logits = random_ops.random_uniform([num_frames, batch_size, num_labels]) [all …]
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/external/tensorflow/tensorflow/contrib/memory_stats/python/kernel_tests/ |
D | memory_stats_ops_test.py | 62 a = random_ops.random_uniform(matrix_shape, dtype=dtype) 63 b = random_ops.random_uniform(matrix_shape, dtype=dtype) 75 a = random_ops.random_uniform(matrix_shape, dtype=dtype) 79 b = random_ops.random_uniform(matrix_shape, dtype=dtype)
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/external/tensorflow/tensorflow/core/grappler/optimizers/data/ |
D | hoist_random_uniform.cc | 163 auto* const random_uniform = stateless_function->mutable_node_def( in MakeLessStatefulFunction() local 168 random_uniform->set_op("StatelessRandomUniform"); in MakeLessStatefulFunction() 169 random_uniform->add_input(seed_arg->name()); in MakeLessStatefulFunction() 170 (*random_uniform->mutable_attr())["Tseed"].set_type(DT_INT64); in MakeLessStatefulFunction() 171 random_uniform->mutable_attr()->erase("seed"); in MakeLessStatefulFunction() 172 random_uniform->mutable_attr()->erase("seed2"); in MakeLessStatefulFunction()
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/external/tensorflow/tensorflow/python/kernel_tests/random/ |
D | random_ops_test.py | 267 rng = random_ops.random_uniform( 307 random_ops.random_uniform( 311 random_ops.random_uniform( 374 rnd1 = random_ops.random_uniform(shape, 0, 17, dtype=dtype) 375 rnd2 = random_ops.random_uniform(shape, 0, 17, dtype=dtype) 385 random_ops.random_uniform, 100, dt, 0, 17, use_gpu=use_gpu) 393 random_ops.random_uniform, 407 random_ops.random_uniform, 447 rnd1 = random_ops.random_uniform([1, 2, 3]) 450 rnd2 = random_ops.random_uniform( [all …]
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/external/tensorflow/tensorflow/contrib/gan/python/eval/python/ |
D | sliced_wasserstein_test.py | 79 d1 = random_ops.random_uniform([256, 32, 32, 3]) 95 d1 = random_ops.random_uniform([256, 32, 32, 3]) 111 d1 = random_ops.random_uniform([256, 32, 32, 3]) 124 d1 = random_ops.random_uniform([256, 32, 32, 1])
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/external/tensorflow/tensorflow/contrib/image/python/ops/ |
D | distort_image_ops.py | 86 delta_hue = random_ops.random_uniform( 91 scale_saturation = random_ops.random_uniform( 96 scale_value = random_ops.random_uniform(
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/external/tensorflow/tensorflow/python/ops/ |
D | matmul_benchmark.py | 52 x = variables.VariableV1(random_ops.random_uniform([n, m], dtype=dtype), 55 x = variables.VariableV1(random_ops.random_uniform([m, n], dtype=dtype), 58 y = variables.VariableV1(random_ops.random_uniform([m, k], dtype=dtype), 61 y = variables.VariableV1(random_ops.random_uniform([k, m], dtype=dtype),
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