| /external/tensorflow/tensorflow/examples/speech_commands/ |
| models.py | 156 tf.truncated_normal([fingerprint_size, label_count], stddev=0.001))
223 tf.truncated_normal(
239 tf.truncated_normal(
263 tf.truncated_normal(
331 tf.truncated_normal(
355 tf.truncated_normal(
365 tf.truncated_normal(
375 tf.truncated_normal(
487 tf.truncated_normal([input_frequency_size, num_filters], stddev=0.01))
510 tf.truncated_normal([num_filters, input_time_size], stddev=0.01)
[all...] |
| /external/tensorflow/tensorflow/examples/tutorials/mnist/ |
| mnist.py | 59 tf.truncated_normal([IMAGE_PIXELS, hidden1_units],
68 tf.truncated_normal([hidden1_units, hidden2_units],
77 tf.truncated_normal([hidden2_units, NUM_CLASSES],
|
| mnist_deep.py | 116 initial = tf.truncated_normal(shape, stddev=0.1)
|
| mnist_with_summaries.py | 58 initial = tf.truncated_normal(shape, stddev=0.1)
|
| /external/tensorflow/tensorflow/python/ops/ |
| initializers_ns.py | 30 truncated_normal = init_ops.truncated_normal_initializer variable
|
| conv2d_benchmark.py | 55 random_ops.truncated_normal(input_shape, dtype=dtype))
57 random_ops.truncated_normal(filter_shape, dtype=dtype))
|
| random_ops.py | 140 @tf_export("truncated_normal")
141 def truncated_normal(shape, function
169 with ops.name_scope(name, "truncated_normal", [shape, mean, stddev]) as name:
|
| /external/tensorflow/tensorflow/contrib/fused_conv/python/ops/ |
| fused_conv2d_bias_activation_benchmark.py | 56 inp = variables.Variable(random_ops.truncated_normal(input_shape))
57 filt = variables.Variable(random_ops.truncated_normal(filter_shape))
59 bias = variables.Variable(random_ops.truncated_normal(bias_shape))
101 inp = variables.Variable(random_ops.truncated_normal(input_shape))
102 filt = variables.Variable(random_ops.truncated_normal(filter_shape))
104 bias = variables.Variable(random_ops.truncated_normal(bias_shape))
|
| /external/tensorflow/tensorflow/python/grappler/ |
| layout_optimizer_test.py | 52 return random_ops.truncated_normal(shape, seed=0, stddev=0.1)
87 x = random_ops.truncated_normal([2, 5, 5, 4], seed=0)
117 x1 = random_ops.truncated_normal([1, 784], seed=0)
118 x2 = random_ops.truncated_normal([1, 784], seed=0)
119 x3 = random_ops.truncated_normal([1, 784], seed=0)
120 x4 = random_ops.truncated_normal([1, 784], seed=0)
128 x1 = random_ops.truncated_normal([1, 784], seed=0)
129 x2 = random_ops.truncated_normal([1, 784], seed=0)
130 x3 = random_ops.truncated_normal([1, 784], seed=0)
131 x4 = random_ops.truncated_normal([1, 784], seed=0
[all...] |
| cost_analyzer_test.py | 68 random_ops.truncated_normal([5, 5, 1, 32], stddev=0.1))
69 b = variables.Variable(random_ops.truncated_normal([32], stddev=0.1))
75 random_ops.truncated_normal([25088, 10], stddev=0.1))
76 b_fc = variables.Variable(random_ops.truncated_normal([10], stddev=0.1))
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| initializers.py | 78 truncated_normal(shape, 0.0, stddev=sqrt(factor / n))
149 return random_ops.truncated_normal(shape, 0.0, trunc_stddev, dtype,
|
| optimizers.py | 424 noise = random_ops.truncated_normal(gradient_shape) * gradient_noise_scale
|
| /external/tensorflow/tensorflow/contrib/factorization/examples/ |
| mnist.py | 156 tf.truncated_normal([num_clusters, hidden1_units],
165 tf.truncated_normal([hidden1_units, hidden2_units],
174 tf.truncated_normal([hidden2_units, NUM_CLASSES],
|
| /external/tensorflow/tensorflow/python/kernel_tests/random/ |
| random_ops_test.py | 100 rng = random_ops.truncated_normal(
167 n = random_ops.truncated_normal(v.shape)
173 rnd1 = random_ops.truncated_normal(shape, 0.0, 1.0, dtypes.float32)
174 rnd2 = random_ops.truncated_normal(shape, 0.0, 1.0, dtypes.float32)
288 rnd1 = random_ops.truncated_normal([1, 2, 3])
291 rnd2 = random_ops.truncated_normal(
295 rnd3 = random_ops.truncated_normal(array_ops.placeholder(dtypes.int32))
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| random_ops_test.py | 85 x = random_ops.truncated_normal(shape=[count], dtype=dtype, seed=42)
|
| /external/tensorflow/tensorflow/tools/dist_test/python/ |
| mnist_replica.py | 140 tf.truncated_normal(
148 tf.truncated_normal(
|
| /external/tensorflow/tensorflow/contrib/stateless/python/kernel_tests/ |
| stateless_random_ops_test.py | 32 (stateless.stateless_truncated_normal, random_ops.truncated_normal)]
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| initializers.py | 179 truncated_normal = TruncatedNormal variable
|
| /external/tensorflow/tensorflow/python/eager/ |
| core_test.py | 44 def truncated_normal(shape): function
500 x = truncated_normal(shape).gpu()
503 y = truncated_normal(shape)
|
| /external/tensorflow/tensorflow/python/debug/examples/ |
| debug_mnist.py | 69 initial = tf.truncated_normal(shape, stddev=0.1, seed=RAND_SEED)
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| basic_gpu_test.py | 244 random_ops.truncated_normal([1024, 1]), name='matrix1')
246 random_ops.truncated_normal([1, 1024]), name='matrix2')
|
| parameterized_truncated_normal_op_test.py | 200 naive_op = control_flow_ops.group(random_ops.truncated_normal(shape))
|
| conv2d_transpose_test.py | 297 initializer = random_ops.truncated_normal(
|
| /external/tensorflow/tensorflow/python/framework/ |
| meta_graph_test.py | 302 random_ops.truncated_normal(
319 random_ops.truncated_normal(
344 random_ops.truncated_normal(
[all...] |
| /external/tensorflow/tensorflow/examples/tutorials/word2vec/ |
| word2vec_basic.py | 198 tf.truncated_normal(
|
