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/external/tensorflow/tensorflow/core/kernels/
Dsparse_to_dense_op.cc74 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()
Dsdca_ops_test.cc175 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()
Dexample_parsing_ops.cc148 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()
Dsparse_to_dense_op_test.cc219 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/
Dsparse_to_dense_op_py_test.py31 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/
Dapi_def_SparseToDense.pbtxt7 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
Dapi_def_AddSparseToTensorsMap.pbtxt10 name: "sparse_values"
44 `sparse_values`, and `sparse_shape`.
Dapi_def_AddManySparseToTensorsMap.pbtxt11 name: "sparse_values"
46 `sparse_values`, and `sparse_shape`, where
Dapi_def_SerializeSparse.pbtxt10 name: "sparse_values"
Dapi_def_SerializeManySparse.pbtxt10 name: "sparse_values"
Dapi_def_TakeManySparseFromTensorsMap.pbtxt17 name: "sparse_values"
/external/tensorflow/tensorflow/contrib/tensor_forest/python/
Dtensor_forest.py602 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/
Dembedding_ops.py367 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
Dfeature_column.py587 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/
Dinput_data.cc106 const Tensor& sparse_values, in set_input_tensors() argument
115 new SparseValuesStorageType(sparse_values.tensor<float, 1>())); in set_input_tensors()
Dinput_data.h70 const Tensor& sparse_values,
/external/tensorflow/tensorflow/contrib/linear_optimizer/python/
Dsdca_optimizer.py114 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/
Dexample_proto_fast_parsing.h68 std::vector<Tensor> sparse_values; member
Dexample_proto_fast_parsing.cc1008 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/
Dparsing_ops.py715 (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)
Dsparse_ops.py741 sparse_values, argument
788 sparse_values,
/external/tensorflow/tensorflow/contrib/boosted_trees/kernels/
Dquantile_ops.cc414 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/
Dtree_utils.cc556 const Tensor& sparse_values) { in GetSparseFunctor() argument
559 const auto values = sparse_values.vec<float>(); in GetSparseFunctor()
Dtree_utils.h162 const Tensor& sparse_values);
/external/tensorflow/tensorflow/contrib/factorization/python/ops/
Dfactorization_ops_test.py121 sparse_values = [666., 777., 888.]
148 values=sparse_values,

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