/external/tensorflow/tensorflow/core/kernels/ |
D | sparse_to_dense_op.cc | 74 const Tensor& sparse_values = c->input(2); in Compute() local 75 const int64 num_values = sparse_values.NumElements(); in Compute() 77 sparse_values.dims() == 0 || in Compute() 78 (sparse_values.dims() == 1 && num_values == num_elems), in Compute() 80 sparse_values.shape().DebugString(), in Compute() 110 if (TensorShapeUtils::IsScalar(sparse_values.shape())) { in Compute() 114 sparse_values_b.vec<T>().setConstant(sparse_values.scalar<T>()()); in Compute() 116 sparse_values_b = sparse_values; in Compute()
|
D | sdca_ops_test.cc | 175 std::vector<NodeBuilder::NodeOut> sparse_values; in GetGraphs() local 186 sparse_values.reserve(num_sparse_feature_groups); in GetGraphs() 188 sparse_values.push_back( in GetGraphs() 216 .Input(sparse_values) in GetGraphs()
|
D | example_parsing_ops.cc | 148 OpOutputList sparse_values; in Compute() local 152 OP_REQUIRES_OK(ctx, ctx->output_list("sparse_values", &sparse_values)); in Compute() 159 sparse_values.set(d, result.sparse_values[d]); in Compute() 244 OpOutputList sparse_values; in Compute() local 248 OP_REQUIRES_OK(ctx, ctx->output_list("sparse_values", &sparse_values)); in Compute() 255 sparse_values.set(d, result.sparse_values[d]); in Compute()
|
D | sparse_to_dense_op_test.cc | 219 Tensor sparse_values(DT_FLOAT, TensorShape({N})); in BM_SparseToDense() local 233 {&sparse_indices, &output_shape, &sparse_values, &default_value}) { in BM_SparseToDense()
|
/external/tensorflow/tensorflow/python/kernel_tests/ |
D | sparse_to_dense_op_py_test.py | 31 sparse_values, argument 37 sparse_values, 127 sparse_values=[-1.0, 1.0], 137 sparse_values=[-1.0, 1.0], 147 sparse_values=[-1.0, 1.0], 155 sparse_values=[-1.0, 1.0], 165 sparse_values=[-1.0, 1.0], 173 sparse_values=[-1.0, 1.0],
|
/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_SparseToDense.pbtxt | 7 index where `sparse_values[i]` will be placed. 17 name: "sparse_values" 49 dense[i] = (i == sparse_indices ? sparse_values : default_value) 52 dense[sparse_indices[i]] = sparse_values[i] 55 dense[sparse_indices[i][0], ..., sparse_indices[i][d-1]] = sparse_values[i] 58 All other values in `dense` are set to `default_value`. If `sparse_values` is a
|
D | api_def_AddSparseToTensorsMap.pbtxt | 10 name: "sparse_values" 44 `sparse_values`, and `sparse_shape`.
|
D | api_def_AddManySparseToTensorsMap.pbtxt | 11 name: "sparse_values" 46 `sparse_values`, and `sparse_shape`, where
|
D | api_def_SerializeSparse.pbtxt | 10 name: "sparse_values"
|
D | api_def_SerializeManySparse.pbtxt | 10 name: "sparse_values"
|
D | api_def_TakeManySparseFromTensorsMap.pbtxt | 17 name: "sparse_values"
|
/external/tensorflow/tensorflow/contrib/tensor_forest/python/ |
D | tensor_forest.py | 602 sparse_values = [] 606 sparse_values = sparse_features.values 616 sparse_values, 633 sparse_values, 662 sparse_values = [] 666 sparse_values = sparse_features.values 675 sparse_values,
|
/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
D | embedding_ops.py | 367 sparse_values, argument 408 if not isinstance(sparse_values, sparse_tensor.SparseTensor): 412 params + [sparse_values]) as scope: 416 if sparse_values.dtype == dtypes.string: 420 sparse_values, _ = sparse_ops.sparse_fill_empty_rows( 421 sparse_values, default_value) 423 segment_ids = sparse_values.indices[:, 0] 427 values = sparse_values.values
|
D | feature_column.py | 587 sparse_values = string_ops.as_string(input_tensor.values) 589 sparse_values = input_tensor.values 595 sparse_values, self.bucket_size, key) 603 sparse_values, self.bucket_size, name="lookup")
|
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
D | input_data.cc | 106 const Tensor& sparse_values, in set_input_tensors() argument 115 new SparseValuesStorageType(sparse_values.tensor<float, 1>())); in set_input_tensors()
|
D | input_data.h | 70 const Tensor& sparse_values,
|
/external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
D | sdca_optimizer.py | 114 sparse_values = array_ops.gather_nd(dense_tensor, sparse_indices) 124 array_ops.reshape(math_ops.to_float(sparse_values), [-1]))
|
/external/tensorflow/tensorflow/core/util/ |
D | example_proto_fast_parsing.h | 68 std::vector<Tensor> sparse_values; member
|
D | example_proto_fast_parsing.cc | 1008 result->sparse_values.emplace_back(config.sparse[d].dtype, values_shape); in FastParseExample() 1009 Tensor* values = &result->sparse_values.back(); in FastParseExample() 1188 result->sparse_values.emplace_back(); in FastParseSingleExample() 1379 out = &result->sparse_values[d]; in FastParseSingleExample() 1449 result->sparse_values[d] = in FastParseSingleExample()
|
/external/tensorflow/tensorflow/python/ops/ |
D | parsing_ops.py | 715 (sparse_indices, sparse_values, sparse_shapes, dense_values) = outputs 719 in zip(sparse_indices, sparse_values, sparse_shapes)] 1406 (sparse_indices, sparse_values, sparse_shapes, dense_values) = outputs 1411 shape) in zip(sparse_indices, sparse_values, sparse_shapes)
|
D | sparse_ops.py | 741 sparse_values, argument 788 sparse_values,
|
/external/tensorflow/tensorflow/contrib/boosted_trees/kernels/ |
D | quantile_ops.cc | 414 const auto sparse_values = in Compute() local 429 stream.PushEntry(sparse_values(j), example_weights(example_id)); in Compute() 798 const auto sparse_values = in Compute() local 809 stream.PushEntry(sparse_values(j), example_weights(example_id)); in Compute()
|
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/ |
D | tree_utils.cc | 556 const Tensor& sparse_values) { in GetSparseFunctor() argument 559 const auto values = sparse_values.vec<float>(); in GetSparseFunctor()
|
D | tree_utils.h | 162 const Tensor& sparse_values);
|
/external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
D | factorization_ops_test.py | 121 sparse_values = [666., 777., 888.] 148 values=sparse_values,
|