| /external/tensorflow/tensorflow/contrib/nn/python/ops/ |
| sampling_ops.py | 31 def _rank_resample(weights, biases, inputs, sampled_values, num_resampled,
50 biases / resampling_temperature
58 biases: From `rank_sampled_softmax_loss`.
99 embedding_ops.embedding_lookup(biases, sampled, partition_strategy), [-1])
111 biases,
160 biases=biases,
167 logits = tf.nn.bias_add(logits, biases)
178 biases: A `Tensor` or `PartitionedVariable` of shape `[num_classes]`.
179 The (possibly-sharded) class biases
[all...] |
| sampling_ops_test.py | 155 biases=self._biases(),
174 biases=self._biases(),
192 biases=self._biases(),
204 def _testCompareWithNN(self, weights, biases, partition_strategy):
208 biases=biases(),
221 biases=biases(),
256 # Let w0, w1 = weights of sampled classes (biases set to 0 for simplicity)
275 biases = constant_op.constant([0., 0.]
[all...] |
| /external/tensorflow/tensorflow/examples/tutorials/mnist/ |
| mnist.py | 62 biases = tf.Variable(tf.zeros([hidden1_units]),
63 name='biases')
64 hidden1 = tf.nn.relu(tf.matmul(images, weights) + biases)
71 biases = tf.Variable(tf.zeros([hidden2_units]),
72 name='biases')
73 hidden2 = tf.nn.relu(tf.matmul(hidden1, weights) + biases)
80 biases = tf.Variable(tf.zeros([NUM_CLASSES]),
81 name='biases')
82 logits = tf.matmul(hidden2, weights) + biases
|
| mnist_with_summaries.py | 91 with tf.name_scope('biases'):
92 biases = bias_variable([output_dim])
93 variable_summaries(biases)
95 preactivate = tf.matmul(input_tensor, weights) + biases
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/ops/ |
| losses_ops.py | 32 def mean_squared_error_regressor(tensor_in, labels, weights, biases, name=None):
36 predictions = nn.xw_plus_b(tensor_in, weights, biases)
47 biases,
63 biases: Tensor, [batch_size], biases.
72 logits = nn.xw_plus_b(tensor_in, weights, biases)
|
| ops_test.py | 40 biases = constant_op.constant([0.2, 0.3])
43 biases, class_weight)
|
| /toolchain/binutils/binutils-2.27/ld/testsuite/ld-scripts/ |
| pr20302.d | 7 # x86_64 Cygwin biases all start addresses to be > 2Gb.
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| nonlinear_test.py | 59 self.assertIn("dnn/hiddenlayer_0/biases", variable_names)
60 self.assertIn("dnn/hiddenlayer_1/biases", variable_names)
61 self.assertIn("dnn/hiddenlayer_2/biases", variable_names)
62 self.assertIn("dnn/logits/biases", variable_names)
84 biases = ([regressor.get_variable_value("dnn/hiddenlayer_0/biases")] +
85 [regressor.get_variable_value("dnn/hiddenlayer_1/biases")] +
86 [regressor.get_variable_value("dnn/hiddenlayer_2/biases")] +
87 [regressor.get_variable_value("dnn/logits/biases")])
88 self.assertEqual(biases[0].shape, (10,)
[all...] |
| /external/tensorflow/tensorflow/contrib/model_pruning/examples/cifar10/ |
| cifar10_pruning.py | 194 biases = _variable_on_cpu('biases', [64], tf.constant_initializer(0.0))
195 pre_activation = tf.nn.bias_add(conv, biases)
216 biases = _variable_on_cpu('biases', [64], tf.constant_initializer(0.1))
217 pre_activation = tf.nn.bias_add(conv, biases)
239 biases = _variable_on_cpu('biases', [384], tf.constant_initializer(0.1))
241 tf.matmul(reshape, pruning.apply_mask(weights, scope)) + biases,
249 biases = _variable_on_cpu('biases', [192], tf.constant_initializer(0.1)
[all...] |
| /external/tensorflow/tensorflow/contrib/factorization/examples/ |
| mnist.py | 159 biases = tf.Variable(tf.zeros([hidden1_units]),
160 name='biases')
161 hidden1 = tf.nn.relu(tf.matmul(all_scores, weights) + biases)
168 biases = tf.Variable(tf.zeros([hidden2_units]),
169 name='biases')
170 hidden2 = tf.nn.relu(tf.matmul(hidden1, weights) + biases)
177 biases = tf.Variable(tf.zeros([NUM_CLASSES]),
178 name='biases')
179 logits = tf.matmul(hidden2, weights) + biases
|
| /external/tensorflow/tensorflow/contrib/lite/kernels/ |
| bidirectional_sequence_rnn_test.cc | 631 constexpr std::initializer_list<float> biases = { member in namespace:tflite::__anon39246
[all...] |
| /external/tensorflow/tensorflow/contrib/cudnn_rnn/python/ops/ |
| cudnn_rnn_ops.py | 202 and is used to save/restore the weights and biases parameters in a
262 weights, biases = self._OpaqueParamsToCanonical()
263 (weights, weight_names), (biases, bias_names) = self._TransformCanonical(
264 weights, biases)
269 params = weights + biases
282 weights, biases = self._ReverseTransformCanonical(restored_tensors)
284 opaque_params = self._CanonicalToOpaqueParams(weights, biases)
304 2 list for weights and biases respectively.
307 weights, biases = gen_cudnn_rnn_ops.cudnn_rnn_params_to_canonical(
316 return (weights, biases)
[all...] |
| /external/tensorflow/tensorflow/python/ops/ |
| nn_test.py | 482 biases: Embedding biases to use as test input. It is a numpy array
494 biases = np.random.randn(num_classes).astype(np.float32)
501 sampled_w, sampled_b = weights[sampled], biases[sampled]
502 true_w, true_b = weights[labels], biases[labels]
520 return weights, biases, hidden_acts, sampled_vals, exp_logits, exp_labels
522 def _ShardTestEmbeddings(self, weights, biases, num_shards):
523 """Shards the weights and biases returned by _GenerateTestData.
527 biases: The biases returned by _GenerateTestData
[all...] |
| nn_impl.py | 265 def relu_layer(x, weights, biases, name=None):
266 """Computes Relu(x * weight + biases).
271 biases: a 1D tensor. Dimensions: out_units
276 A 2-D Tensor computing relu(matmul(x, weights) + biases).
279 with ops.name_scope(name, "relu_layer", [x, weights, biases]) as name:
282 biases = ops.convert_to_tensor(biases, name="biases")
283 xw_plus_b = nn_ops.bias_add(math_ops.matmul(x, weights), biases)
[all...] |
| nn_ops.py | [all...] |
| /external/tensorflow/tensorflow/core/profiler/g3doc/ |
| profile_model_architecture.md | 24 pool_logit/biases (10, 10/20 params)
25 pool_logit/biases/Momentum (10, 10/10 params)
|
| command_line.md | 229 pool_logit/biases (10, 10/10 params)
250 pool_logit/biases (10, 10/20 params)
251 pool_logit/biases/Momentum (10, 10/10 params)
289 entry.name = 'pool_logit/biases'
311 pool_logit/biases (10, 10/10 params)
335 pool_logit/biases (10, 10/20 params)
|
| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| training_test.py | 480 # Next, train the biases of the model.
485 biases = variables_lib.get_variables_by_name('biases')
488 total_loss, optimizer, variables_to_train=biases)
529 weights, biases = variables_lib.get_variables()
535 total_loss, optimizer, variables_to_train=[biases])
541 # Get the initial weights and biases values.
542 weights_values, biases_values = session.run([weights, biases])
546 # Update weights and biases.
549 new_weights, new_biases = session.run([weights, biases])
[all...] |
| /external/tensorflow/tensorflow/python/debug/examples/ |
| debug_mnist.py | 84 with tf.name_scope("biases"):
85 biases = bias_variable([output_dim])
87 preactivate = tf.matmul(input_tensor, weights) + biases
|
| /external/tensorflow/tensorflow/contrib/cudnn_rnn/python/layers/ |
| cudnn_rnn.py | 148 # Number of cell weights(or biases) per layer.
345 biases = [
349 opaque_params_t = self._canonical_to_opaque(weights, biases)
461 biases=cu_biases,
|
| /external/tensorflow/tensorflow/stream_executor/cuda/ |
| cuda_dnn.h | 283 const DeviceMemory<double>& biases, dnn::ActivationMode activation_mode,
297 const DeviceMemory<float>& biases, dnn::ActivationMode activation_mode,
313 const DeviceMemory<Eigen::half>& biases,
329 const DeviceMemory<float>& biases, dnn::ActivationMode activation_mode,
467 const DeviceMemory<float>& biases,
[all...] |
| /external/tensorflow/tensorflow/contrib/fused_conv/python/ops/ |
| fused_conv2d_bias_activation_op_test.py | 625 side_input, biases):
638 biases: A `Tensor` of type `float32` in NCHW layout.
652 logit = nn_ops.bias_add(conv_and_side_inputs, biases, data_format="NCHW")
843 biases = random_ops.random_uniform(
854 biases,
865 side_input_scale, side_input, biases)
[all...] |
| /external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
| core_rnn_cell.py | 185 biases = vs.get_variable(
189 return nn_ops.bias_add(res, biases)
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/ |
| learning_test.py | 837 # Next, train the biases of the model.
[all...] |
| /external/tensorflow/tensorflow/python/training/ |
| saver_test.py | [all...] |
