Home
last modified time | relevance | path

Searched refs:num_data (Results 1 – 19 of 19) sorted by relevance

/external/tensorflow/tensorflow/contrib/losses/python/metric_learning/
Dmetric_loss_ops_test.py52 num_data = feature.shape[0]
53 pairwise_distances = np.zeros((num_data, num_data))
54 pairwise_distances[np.triu_indices(num_data, 1)] = upper_tri_pdists
65 num_data = 10
69 embeddings_anchor = np.random.rand(num_data, feat_dim).astype(np.float32)
70 embeddings_positive = np.random.rand(num_data, feat_dim).astype(
72 labels = np.random.randint(0, 2, size=(num_data,)).astype(np.float32)
94 num_data = 10
99 embedding = np.random.rand(num_data, feat_dim).astype(np.float32)
101 0, num_classes, size=(num_data)).astype(np.float32)
[all …]
Dmetric_loss_ops.py78 num_data = array_ops.shape(feature)[0]
81 array_ops.ones([num_data]))
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/
Dreinterpret_string_to_float_op.cc64 const int32 num_data = static_cast<int32>(input_data.NumElements()); in Compute() local
68 Evaluate(input_data, *output_data, 0, num_data); in Compute()
70 auto work = [&input_data, output_data, num_data](int64 start, int64 end) { in Compute()
72 CHECK(end <= num_data); in Compute()
76 Shard(num_threads, worker_threads->workers, num_data, 100, work); in Compute()
Dmodel_ops.cc191 const int num_data = data_set->NumItems(); in Compute() local
196 output_shape.AddDim(num_data); in Compute()
203 param_proto_.inference_tree_paths() ? num_data : 0); in Compute()
208 auto traverse = [this, &out, &data_set, decision_tree_resource, num_data, in Compute()
211 CHECK(end <= num_data); in Compute()
219 Shard(num_threads, worker_threads->workers, num_data, costPerTraverse, in Compute()
224 output_paths_shape.AddDim(param_proto_.inference_tree_paths() ? num_data in Compute()
292 const int num_data = data_set->NumItems(); in Compute() local
296 output_shape.AddDim(num_data); in Compute()
308 num_data](int64 start, int64 end) { in Compute()
[all …]
Dstats_ops.cc266 const int32 num_data = data_set->NumItems(); in Compute() local
279 for (int i = 0; i < num_data; ++i) { in Compute()
283 for (int i = 0; i < num_data; ++i) { in Compute()
312 num_data](int64 start, int64 end) { in Compute()
314 CHECK(end <= num_data); in Compute()
336 Shard(num_threads, worker_threads->workers, num_data, costPerUpdate, in Compute()
/external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/core/ops/
Dstochastic_hard_routing_function_op.cc121 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0)); in Compute() local
129 output_probability_shape.AddDim(num_data); in Compute()
134 output_path_shape.AddDim(num_data); in Compute()
149 for (int i = 0; i < num_data; i++) { in Compute()
164 CHECK_LT(i, num_data); in Compute()
172 CHECK_LT(i, num_data); in Compute()
Dunpack_path_op.cc74 const int32 num_data = static_cast<int32>(path_tensor.shape().dim_size(0)); in Compute() local
80 VLOG(1) << "num_data: " << num_data; in Compute()
86 output_shape.AddDim(num_data); in Compute()
99 for (int i = 0; i < num_data; i++) { in Compute()
Dstochastic_hard_routing_gradient_op.cc126 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0)); in Compute() local
134 output_routing_shape.AddDim(num_data); in Compute()
144 output_parameters_shape.AddDim(num_data); in Compute()
150 output_bias_shape.AddDim(num_data); in Compute()
177 for (int i = 0; i < num_data; i++) { in Compute()
Dhard_routing_function_op.cc110 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0)); in Compute() local
116 output_probability_shape.AddDim(num_data); in Compute()
121 output_path_shape.AddDim(num_data); in Compute()
138 for (int i = 0; i < num_data; i++) { in Compute()
Dk_feature_gradient_op.cc101 const int32 num_data = in Compute() local
113 out_routes_shape.AddDim(num_data); in Compute()
123 out_weights_shape.AddDim(num_data); in Compute()
147 for (int i = 0; i < num_data; i++) { in Compute()
Drouting_function_op.cc101 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0)); in Compute() local
107 output_shape.AddDim(num_data); in Compute()
117 for (int i = 0; i < num_data; i++) { in Compute()
Drouting_gradient_op.cc100 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0)); in Compute() local
106 output_shape.AddDim(num_data); in Compute()
116 for (int i = 0; i < num_data; i++) { in Compute()
Dk_feature_routing_function_op.cc116 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0)); in Compute() local
122 output_shape.AddDim(num_data); in Compute()
133 for (int i = 0; i < num_data; i++) { in Compute()
/external/libcups/cups/
Dtls-gnutls.c692 num_data = 0; /* Bytes used */ in httpLoadCredentials() local
730 if (!in_certificate || !num_data) in httpLoadCredentials()
744 if (httpAddCredential(*credentials, data, num_data)) in httpLoadCredentials()
751 num_data = 0; in httpLoadCredentials()
764 else if ((num_data + strlen(line)) >= alloc_data) in httpLoadCredentials()
780 decoded = alloc_data - num_data; in httpLoadCredentials()
781 httpDecode64_2((char *)data + num_data, &decoded, line); in httpLoadCredentials()
782 num_data += (size_t)decoded; in httpLoadCredentials()
961 num_data = 0; /* Bytes used */ in http_gnutls_load_crl() local
974 if (num_data) in http_gnutls_load_crl()
[all …]
/external/u-boot/board/LaCie/common/
Dcpld-gpio-bus.h13 unsigned num_data; member
Dcpld-gpio-bus.c29 for (pin = 0; pin < bus->num_data; pin++) in cpld_gpio_bus_set_data()
/external/tensorflow/tensorflow/contrib/factorization/python/ops/
Dgmm_ops.py78 num_data = math_ops.add_n([array_ops.shape(inp)[0] for inp in data])
80 [check_ops.assert_less_equal(num_clusters, num_data)]):
84 maxval=math_ops.cast(num_data, dtypes.int64),
87 indices %= math_ops.cast(num_data, dtypes.int64)
/external/u-boot/board/LaCie/net2big_v2/
Dnet2big_v2.c152 .num_data = ARRAY_SIZE(cpld_gpio_bus_data),
/external/tensorflow/tensorflow/core/graph/
Dgraph_partition.cc984 int32 num_data = 0; in Partition() local
1164 ++num_data; in Partition()
1216 << ", data=" << num_data; in Partition()