Searched defs:nn (Results 1 - 25 of 173) sorted by relevance

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/external/tensorflow/tensorflow/contrib/nn/python/ops/
H A Dcross_entropy.py21 from tensorflow.python.ops import nn namespace
27 # tf.nn.softmax_cross_entropy_with_logits.
34 This function diffs from tf.nn.softmax_cross_entropy_with_logits only in the
67 return nn.softmax_cross_entropy_with_logits(
74 # tf.nn.sparse_softmax_cross_entropy_with_logits.
80 This function diffs from tf.nn.sparse_softmax_cross_entropy_with_logits only
121 return nn.sparse_softmax_cross_entropy_with_logits(
128 # tf.nn.sigmoid_cross_entropy_with_logits.
134 This function diffs from tf.nn.sigmoid_cross_entropy_with_logits only in the
176 return nn
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H A Dsampling_ops.py26 from tensorflow.python.ops import nn namespace
102 _, resampled_indices = nn.top_k(sampled_logits, k=num_resampled, sorted=False)
126 @{tf.nn.sampled_softmax_loss}. For a description of the algorithm and some
132 @{tf.nn.learned_unigram_candidate_sampler} or supplied `sampled_values`.
134 similar to @{tf.nn.sampled_softmax_loss}.
145 See @{tf.nn.sampled_softmax_loss} for more documentation on sampling and
167 logits = tf.nn.bias_add(logits, biases)
169 loss = tf.nn.softmax_cross_entropy_with_logits(
182 the `labels` argument of `nn.softmax_cross_entropy_with_logits`.
193 If None, default to `nn
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H A Dscaled_softplus.py26 from tensorflow.python.ops import nn namespace
68 y = alpha * nn.softplus(x / alpha)
/external/tensorflow/tensorflow/contrib/estimator/python/estimator/
H A Ddnn.py23 from tensorflow.python.ops import nn namespace
92 activation_fn=nn.relu,
113 use `tf.nn.relu`.
H A Ddnn_linear_combined.py23 from tensorflow.python.ops import nn namespace
103 dnn_activation_fn=nn.relu,
128 will use `tf.nn.relu`.
/external/tensorflow/tensorflow/contrib/sparsemax/python/ops/
H A Dsparsemax.py25 from tensorflow.python.ops import nn namespace
55 z_sorted, _ = nn.top_k(z, k=dims)
/external/dng_sdk/source/
H A Ddng_rational.h45 dng_srational (int32 nn, int32 dd) argument
46 : n (nn)
104 dng_urational (uint32 nn, uint32 dd) argument
105 : n (nn)
/external/fec/
H A Drs-common.h9 int nn; /* Symbols per block (= (1<<mm)-1) */ member in struct:rs
21 while (x >= rs->nn) {
22 x -= rs->nn;
23 x = (x >> rs->mm) + (x & rs->nn);
/external/freetype/src/base/
H A Dftadvanc.c33 FT_UInt nn; local
50 for ( nn = 0; nn < count; nn++ )
51 advances[nn] = FT_MulDiv( advances[nn], scale, 64 );
123 FT_UInt num, end, nn; local
159 for ( nn = 0; nn < count; nn
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/external/tensorflow/tensorflow/contrib/bayesflow/python/ops/
H A Dmonte_carlo_impl.py31 from tensorflow.python.ops import nn namespace
105 log_f_plus_z = math_ops.log(nn.relu(f_z) + 1.)
106 log_f_minus_z = math_ops.log(nn.relu(-1. * f_z) + 1.)
/external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/
H A Dlosses.py25 from tensorflow.python.ops import nn namespace
41 unweighted_loss = nn.sigmoid_cross_entropy_with_logits(
/external/tensorflow/tensorflow/contrib/distributions/python/ops/
H A Dmvn_diag.py24 from tensorflow.python.ops import nn namespace
231 scale_diag=nn.softplus(scale_diag),
/external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/
H A Dnn_test.py21 from tensorflow.contrib.labeled_tensor.python.ops import nn namespace
37 ('relu', nn_ops.relu, nn.relu),
38 ('relu6', nn_ops.relu6, nn.relu6),
39 ('crelu', nn_ops.crelu, nn.crelu),
40 ('elu', nn_ops.elu, nn.elu),
41 ('softplus', nn_ops.softplus, nn.softplus),
42 ('l2_loss', nn_ops.l2_loss, nn.l2_loss),
43 ('softmax', nn_ops.softmax, nn.softmax),
44 ('log_softmax', nn_ops.log_softmax, nn.log_softmax),
57 nn
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/external/tensorflow/tensorflow/contrib/layers/python/layers/
H A Dnormalization.py27 from tensorflow.python.ops import nn namespace
67 not used. When the next layer is linear (also e.g. `nn.relu`), this can be
153 mean, variance = nn.moments(inputs, moments_axes, keep_dims=True)
156 outputs = nn.batch_normalization(
/external/tensorflow/tensorflow/contrib/learn/python/learn/ops/
H A Dembeddings_ops.py30 from tensorflow.python.ops import nn namespace
61 embeds_flat = nn.embedding_lookup(params, ids_flat, name)
H A Dlosses_ops.py26 from tensorflow.python.ops import nn namespace
36 predictions = nn.xw_plus_b(tensor_in, weights, biases)
72 logits = nn.xw_plus_b(tensor_in, weights, biases)
75 return nn.softmax(logits), losses.softmax_cross_entropy(labels, logits)
H A Dseq2seq_ops.py27 from tensorflow.python.ops import nn namespace
48 xent_list.append(nn.softmax_cross_entropy_with_logits(
52 predictions.append(nn.softmax(sampling_decoding[i]))
54 predictions.append(nn.softmax(pred))
/external/tensorflow/tensorflow/contrib/receptive_field/python/util/
H A Dgraph_compute_order_test.py27 from tensorflow.python.ops import nn namespace
49 l4 = nn.relu(l1 + l3, name='L4_relu')
H A Dparse_layer_parameters_test.py28 from tensorflow.python.ops import nn namespace
51 l4 = nn.relu(l1 + l3, name='L4_relu')
/external/tensorflow/tensorflow/contrib/slim/python/slim/
H A Dsummaries.py38 from tensorflow.python.ops import nn_impl as nn namespace
148 tensor = nn.zero_fraction(tensor)
/external/webrtc/webrtc/common_audio/signal_processing/
H A Dcomplex_bit_reverse.c82 int nn = n - 1; local
85 for (m = 1; m <= nn; ++m) {
93 } while (l > nn - mr);
/external/clang/test/CodeGenCXX/
H A Ddebug-info-template.cpp124 // CHECK: !DIGlobalVariable(name: "nn"
126 // CHECK-SAME: variable: %struct.NN* @nn
139 NN<tmpl_impl, glb, glb> nn; variable
/external/skia/tests/
H A DPaintBreakTextTest.cpp20 size_t nn = 0; local
33 if (n == nn) {
36 REPORTER_ASSERT(reporter, n > nn, msg);
40 nn = n;
/external/skqp/tests/
H A DPaintBreakTextTest.cpp20 size_t nn = 0; local
33 if (n == nn) {
36 REPORTER_ASSERT(reporter, n > nn, msg);
40 nn = n;
/external/tensorflow/tensorflow/compiler/tests/
H A Dfused_batchnorm_test.py27 from tensorflow.python.ops import nn namespace
84 y, mean, variance = nn.fused_batch_norm(
119 y, mean, var = nn.fused_batch_norm(

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