Searched defs:indices_shape (Results 1 - 21 of 21) sorted by relevance

/external/tensorflow/tensorflow/core/kernels/
H A Dsparse_reduce_sum_op_test.cc53 const auto indices_shape = TensorShape({4, 2}); local
59 AddInputFromArray<int64>(indices_shape, indices);
95 const auto indices_shape = TensorShape({4, 2}); local
101 AddInputFromArray<int64>(indices_shape, indices);
H A Dsparse_add_op_test.cc63 const auto indices_shape = TensorShape({4, 2}); local
70 AddInputFromArray<int64>(indices_shape, indices); \
81 Tensor expected_indices(allocator(), DT_INT64, indices_shape); local
103 const auto indices_shape = TensorShape({4, 2}); \
109 AddInputFromArray<int64>(indices_shape, indices); \
160 const auto indices_shape = TensorShape({4, 2}); \
166 auto AddSparseTensor = [indices, indices_shape, shape, \
168 AddInputFromArray<int64>(indices_shape, indices); \
H A Done_hot_op.cc55 const TensorShape& indices_shape = indices.shape(); variable
57 const int indices_dims = indices_shape.dims();
84 MultiplyWithoutOverflow(indices_shape.num_elements(), depth_v) >= 0,
86 indices_shape.DebugString(), " + [", depth_v,
89 TensorShape output_shape = indices_shape;
104 prefix_dim_size *= indices_shape.dim_size(i);
106 TI suffix_dim_size = indices_shape.num_elements() / prefix_dim_size;
H A Dsparse_dense_binary_op_shared_test.cc98 const auto indices_shape = TensorShape({4, 2}); local
109 AddInputFromArray<int64>(indices_shape, indices);
127 const auto indices_shape = TensorShape({4, 2}); local
137 AddInputFromArray<int64>(indices_shape, indices);
154 const auto indices_shape = TensorShape({4, 2}); local
164 AddInputFromArray<int64>(indices_shape, indices);
186 const auto indices_shape = TensorShape({4, 2}); local
197 AddInputFromArray<int64>(indices_shape, indices);
/external/tensorflow/tensorflow/core/ops/
H A Dstate_ops.cc118 ShapeHandle indices_shape = c->input(1); local
124 TF_RETURN_IF_ERROR(c->Concatenate(indices_shape, var_subshape, &concat));
H A Ddata_flow_ops.cc104 ShapeHandle indices_shape = c->input(i); local
106 if (!c->RankKnown(indices_shape)) {
109 const int64 indices_rank = c->Rank(indices_shape);
111 // Assert that data_shape starts with indices_shape.
114 c->MergePrefix(data_shape, indices_shape, &unused, &unused));
H A Dmath_ops.cc879 ShapeHandle indices_shape; local
880 TF_RETURN_IF_ERROR(c->WithRank(c->input(1), 1, &indices_shape));
887 TF_RETURN_IF_ERROR(c->Merge(indices_shape, segment_ids_shape, &unused));
903 ShapeHandle indices_shape; local
904 TF_RETURN_IF_ERROR(c->WithRank(c->input(1), 1, &indices_shape));
908 TF_RETURN_IF_ERROR(c->Merge(c->input(2), indices_shape, &unused));
941 ShapeHandle indices_shape; local
942 TF_RETURN_IF_ERROR(c->WithRank(c->input(1), 1, &indices_shape));
952 TF_RETURN_IF_ERROR(c->Merge(indices_shape, segment_ids_shape, &unused));
H A Darray_ops.cc894 ShapeHandle indices_shape = c->input(1);
896 TF_RETURN_IF_ERROR(c->Concatenate(indices_shape, params_subshape, &out));
914 ShapeHandle indices_shape = c->input(1);
922 if (c->RankKnown(params_shape) && c->RankKnown(indices_shape)) {
924 c->Rank(indices_shape) - 1));
950 c->Concatenate(params_outer_subshape, indices_shape, &out));
2616 ShapeHandle indices_shape; local
2617 TF_RETURN_IF_ERROR(c->WithRankAtLeast(c->input(0), 1, &indices_shape));
2624 (c->Value(c->NumElements(indices_shape)) > 0 ||
2630 if (c->RankKnown(indices_shape)
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/
H A Done_hot_op.cc33 const TensorShape indices_shape = ctx->InputShape(0); variable
38 const int indices_dims = indices_shape.dims();
68 indices_shape, ctx->Input(0), ctx->Input(2),
H A Dscatter_nd_op.cc32 const TensorShape& indices_shape,
34 if (indices_shape.dims() < 1) {
37 indices_shape.DebugString());
40 const int64 num_index_dims = indices_shape.dim_size(indices_shape.dims() - 1);
41 const int64 batch_dim = indices_shape.dims() - 1;
48 ", indices.shape: ", indices_shape.DebugString(),
63 if (updates_shape.dim_size(d) != indices_shape.dim_size(d)) {
83 TensorShape indices_shape = context->InputShape(0); variable
96 buffer_shape.num_elements() > 0 || (indices_shape
31 ValidateUpdateShape(const TensorShape& buffer_shape, const TensorShape& indices_shape, const TensorShape& updates_shape) argument
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H A Dsegment_reduction_ops.cc47 TensorShape indices_shape = ctx->InputShape(1); variable
52 OP_REQUIRES(ctx, data_shape.dims() >= indices_shape.dims(),
57 for (int d = 0; d < indices_shape.dims(); ++d) {
58 OP_REQUIRES(ctx, (data_shape.dim_size(d) == indices_shape.dim_size(d)),
63 indices_shape.dim_size(d)));
67 buffer_shape.RemoveDimRange(0, indices_shape.dims());
H A Ddynamic_stitch_op.cc70 TensorShape indices_shape; variable
73 &indices_shape));
76 ctx, TensorShapeUtils::StartsWith(data_shape, indices_shape),
80 "].shape = ", indices_shape.DebugString()));
84 data_shape, indices_shape),
87 input_num, "].shape[", indices_shape.dims(),
92 "].shape = ", indices_shape.DebugString()));
96 {indices_shape.num_elements()},
H A Dvariable_ops.cc118 auto indices_shape = ctx->InputShape(1); variable
122 ctx, XlaGather(resource_handle, resource_shape, indices, indices_shape,
H A Dgather_op.cc32 TensorShape indices_shape, int64 axis, bool indices_are_nd,
40 CHECK_GE(indices_shape.dims(), 1);
41 num_index_dims = indices_shape.dim_size(indices_shape.dims() - 1);
42 indices_shape.RemoveLastDims(1);
50 const int64 num_indices = indices_shape.num_elements();
73 out_shape.AppendShape(indices_shape);
173 auto indices_shape = context->InputShape(1); variable
200 context, XlaGather(input, input_shape, indices, indices_shape, axis,
222 TensorShape indices_shape variable
29 XlaGather(const xla::ComputationDataHandle& input, const TensorShape& input_shape, const xla::ComputationDataHandle& indices, TensorShape indices_shape, int64 axis, bool indices_are_nd, DataType dtype, DataType index_type, xla::ComputationBuilder* builder, xla::ComputationDataHandle* gather_output) argument
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H A Dtensor_array_ops.cc306 const TensorShape indices_shape = ctx->InputShape(1); variable
307 OP_REQUIRES(ctx, indices_shape.dims() == 1,
343 XlaGather(ta, ta_shape, indices, indices_shape, /*axis=*/0,
374 const TensorShape indices_shape = ctx->InputShape(1); variable
375 OP_REQUIRES(ctx, indices_shape.dims() >= 1,
377 const int num_indices = indices_shape.dim_size(0);
/external/tensorflow/tensorflow/contrib/lite/kernels/
H A Dembedding_lookup_sparse_test.cc36 std::initializer_list<int> indices_shape,
48 BuildInterpreter({lookup_shape, indices_shape, dense_shape_shape,
34 EmbeddingLookupSparseOpModel(CombinerType type, std::initializer_list<int> lookup_shape, std::initializer_list<int> indices_shape, std::initializer_list<int> dense_shape_shape, std::initializer_list<int> value_shape) argument
/external/tensorflow/tensorflow/compiler/tf2xla/
H A Dxla_helpers.cc228 const TensorShape& indices_shape,
233 const int indices_dims = indices_shape.dims();
236 TensorShape output_shape = indices_shape;
263 std::vector<int64> broadcast_dims(indices_shape.dims());
226 OneHot(xla::ComputationBuilder* builder, int64 depth, int axis, DataType index_type, const TensorShape& indices_shape, const xla::ComputationDataHandle& indices, const xla::ComputationDataHandle& on_value, const xla::ComputationDataHandle& off_value, xla::ComputationDataHandle* one_hot) argument
/external/tensorflow/tensorflow/core/util/
H A Dexample_proto_helper.h85 TensorShape indices_shape; member in struct:tensorflow::VarLenFeatureBatchShapes
H A Dexample_proto_helper.cc310 output_shapes->indices_shape.AddDim(total_num_features);
311 output_shapes->indices_shape.AddDim(2);
378 const TensorShape& indices_shape = sparse_tensor_batch_shapes.indices_shape; local
383 Tensor(allocator, DT_INT64, indices_shape);
/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/
H A Dpropagate_fixed_sizes.cc968 const auto& indices_shape = indices_array.shape(); local
973 QCHECK_EQ(indices_shape.dimensions_count(), 1);
976 // where the dimension of indices_shape is used.
979 output_dims->push_back(indices_shape.dims(0));
/external/tensorflow/tensorflow/core/framework/
H A Dcommon_shape_fns.cc1286 Status ValidateSparseTensor(InferenceContext* c, ShapeHandle indices_shape, argument
1290 TF_RETURN_IF_ERROR(c->WithRank(indices_shape, 2, &unused_shape));
1295 DimensionHandle num_index_elements_dim = c->Dim(indices_shape, 0);
1310 DimensionHandle index_rank_dim = c->Dim(indices_shape, 1);
1332 ShapeHandle indices_shape; local
1333 TF_RETURN_IF_ERROR(c->WithRankAtLeast(c->input(1), 1, &indices_shape));
1338 (c->Value(c->NumElements(indices_shape)) > 0 ||
1344 if (c->RankKnown(indices_shape) && c->RankKnown(updates_shape)) {
1345 const int64 num_outer_dims = c->Rank(indices_shape) - 1;
1346 const DimensionHandle index_size = c->Dim(indices_shape,
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