/external/tensorflow/tensorflow/contrib/nn/python/ops/ |
H A D | cross_entropy.py | 21 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 [all...] |
H A D | sampling_ops.py | 26 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 [all...] |
H A D | scaled_softplus.py | 26 from tensorflow.python.ops import nn namespace 68 y = alpha * nn.softplus(x / alpha)
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/external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
H A D | dnn.py | 23 from tensorflow.python.ops import nn namespace 92 activation_fn=nn.relu, 113 use `tf.nn.relu`.
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H A D | dnn_linear_combined.py | 23 from tensorflow.python.ops import nn namespace 103 dnn_activation_fn=nn.relu, 128 will use `tf.nn.relu`.
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/external/tensorflow/tensorflow/contrib/sparsemax/python/ops/ |
H A D | sparsemax.py | 25 from tensorflow.python.ops import nn namespace 55 z_sorted, _ = nn.top_k(z, k=dims)
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/external/dng_sdk/source/ |
H A D | dng_rational.h | 45 dng_srational (int32 nn, int32 dd) argument 46 : n (nn) 104 dng_urational (uint32 nn, uint32 dd) argument 105 : n (nn)
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/external/fec/ |
H A D | rs-common.h | 9 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);
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/external/freetype/src/base/ |
H A D | ftadvanc.c | 33 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 [all...] |
/external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
H A D | monte_carlo_impl.py | 31 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.)
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/external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/ |
H A D | losses.py | 25 from tensorflow.python.ops import nn namespace 41 unweighted_loss = nn.sigmoid_cross_entropy_with_logits(
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/external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
H A D | mvn_diag.py | 24 from tensorflow.python.ops import nn namespace 231 scale_diag=nn.softplus(scale_diag),
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/external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/ |
H A D | nn_test.py | 21 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 [all...] |
/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
H A D | normalization.py | 27 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(
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/external/tensorflow/tensorflow/contrib/learn/python/learn/ops/ |
H A D | embeddings_ops.py | 30 from tensorflow.python.ops import nn namespace 61 embeds_flat = nn.embedding_lookup(params, ids_flat, name)
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H A D | losses_ops.py | 26 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)
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H A D | seq2seq_ops.py | 27 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))
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/external/tensorflow/tensorflow/contrib/receptive_field/python/util/ |
H A D | graph_compute_order_test.py | 27 from tensorflow.python.ops import nn namespace 49 l4 = nn.relu(l1 + l3, name='L4_relu')
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H A D | parse_layer_parameters_test.py | 28 from tensorflow.python.ops import nn namespace 51 l4 = nn.relu(l1 + l3, name='L4_relu')
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/external/tensorflow/tensorflow/contrib/slim/python/slim/ |
H A D | summaries.py | 38 from tensorflow.python.ops import nn_impl as nn namespace 148 tensor = nn.zero_fraction(tensor)
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/external/webrtc/webrtc/common_audio/signal_processing/ |
H A D | complex_bit_reverse.c | 82 int nn = n - 1; local 85 for (m = 1; m <= nn; ++m) { 93 } while (l > nn - mr);
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/external/clang/test/CodeGenCXX/ |
H A D | debug-info-template.cpp | 124 // CHECK: !DIGlobalVariable(name: "nn" 126 // CHECK-SAME: variable: %struct.NN* @nn 139 NN<tmpl_impl, glb, glb> nn; variable
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/external/skia/tests/ |
H A D | PaintBreakTextTest.cpp | 20 size_t nn = 0; local 33 if (n == nn) { 36 REPORTER_ASSERT(reporter, n > nn, msg); 40 nn = n;
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/external/skqp/tests/ |
H A D | PaintBreakTextTest.cpp | 20 size_t nn = 0; local 33 if (n == nn) { 36 REPORTER_ASSERT(reporter, n > nn, msg); 40 nn = n;
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/external/tensorflow/tensorflow/compiler/tests/ |
H A D | fused_batchnorm_test.py | 27 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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