| /external/tensorflow/tensorflow/python/kernel_tests/ |
| qr_op_test.py | 62 matrix1 = random_ops.random_normal([rows_, cols_], seed=42)
63 matrix2 = random_ops.random_normal([rows_, cols_], seed=42)
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| self_adjoint_eig_op_test.py | 59 matrix1 = random_ops.random_normal([5, 5], seed=42)
60 matrix2 = random_ops.random_normal([5, 5], seed=42)
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| cholesky_op_test.py | 187 matrix1 = random_ops.random_normal([5, 5], seed=42)
188 matrix2 = random_ops.random_normal([5, 5], seed=42)
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| svd_op_test.py | 62 matrix1 = random_ops.random_normal([5, 5], seed=42)
63 matrix2 = random_ops.random_normal([5, 5], seed=42)
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| init_ops_test.py | 435 random_ops, 'random_normal', wraps=random_ops.random_normal) \
749 inputs = random_ops.random_normal(shape, dtype=dtype)
[all...] |
| conv2d_transpose_test.py | 301 x = variables.Variable(random_ops.random_normal([3, 10, 5, 1]))
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| /external/tensorflow/tensorflow/compiler/tests/ |
| random_ops_test.py | 70 return random_ops.random_normal(shape=[2], dtype=dtype)
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| /external/tensorflow/tensorflow/python/data/experimental/benchmarks/ |
| map_and_batch_benchmark.py | 53 dense_value = random_ops.random_normal(shape=shape_placeholder)
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| /external/tensorflow/tensorflow/python/keras/ |
| initializers.py | 118 'keras.initializers.random_normal'])
147 normal = random_normal = RandomNormal
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| models_test.py | 329 x = random_ops.random_normal((32, 4))
341 x = random_ops.random_normal((32, 4))
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| /external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
| linear_operator_circulant_test.py | 303 h = linear_operator_test_util.random_normal(shape=(3, 4))
565 spectrum = linear_operator_test_util.random_normal(
642 spectrum = linear_operator_test_util.random_normal(
659 convolution_kernel = linear_operator_test_util.random_normal(
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| linear_operator_diag_test.py | 138 x = random_ops.random_normal(shape=(2, 2, 3, 4))
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| linear_operator_full_matrix_test.py | 210 matrix = linear_operator_test_util.random_normal(shape, dtype=dtype)
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| linear_operator_low_rank_update_test.py | 100 diag_update = linear_operator_test_util.random_normal(
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| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| control_flow_ops_test.py | 437 return random_ops.random_normal([3])
[all...] |
| /external/tensorflow/tensorflow/contrib/gan/python/eval/python/ |
| sliced_wasserstein_impl.py | 162 proj = random_ops.random_normal(
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| /external/tensorflow/tensorflow/contrib/image/python/kernel_tests/ |
| dense_image_warp_test.py | 239 image = random_ops.random_normal(image_shape)
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| /external/tensorflow/tensorflow/contrib/model_pruning/python/ |
| pruning_test.py | 92 random_ops.random_normal([width, height], stddev=1), name="weights")
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| strip_pruning_vars_test.py | 110 inputs = variables.Variable(random_ops.random_normal([batch_size, dim]))
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| /external/tensorflow/tensorflow/contrib/seq2seq/python/kernel_tests/ |
| attention_wrapper_test.py | 731 random_ops.random_normal((b, t, u)),
735 random_ops.random_normal((b, d)), array_ops.one_hot([0]*b, t))
[all...] |
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| normal.py | 196 sampled = random_ops.random_normal(
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| student_t.py | 254 normal_sample = random_ops.random_normal(shape, dtype=self.dtype, seed=seed)
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| /external/tensorflow/tensorflow/python/profiler/ |
| model_analyzer_test.py | 660 a = random_ops.random_normal([1, 10000, 20000], name='test_random1')
661 b = random_ops.random_normal([30000, 10000, 1], name='test_random2')
689 a = random_ops.random_normal([1, 10000, 20000], name='test_random1')
691 b = random_ops.random_normal([30000, 10000, 1], name='test_random2')
[all...] |
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| distribution_test.py | 54 params = dict([(name, random_ops.random_normal(shape))
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| /external/tensorflow/tensorflow/python/kernel_tests/signal/ |
| spectral_ops_test.py | 188 signal = random_ops.random_normal([signal_length])
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