/external/tensorflow/tensorflow/core/kernels/data/ |
D | group_by_window_dataset_op.cc | 304 writer->WriteScalar(full_name("end_of_input"), "")); in SaveInternal() 310 writer->WriteScalar(full_name("groups_size"), groups_.size())); in SaveInternal() 314 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 325 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("window_sizes_size"), in SaveInternal() 330 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 333 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 345 writer->WriteScalar(full_name("current_key"), current_key_)); in SaveInternal() 347 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 415 writer->WriteScalar(strings::StrCat(name, "_size"), group.size())); in SaveGroup() 417 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveGroup()
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D | parallel_map_dataset_op.cc | 212 writer->WriteScalar(full_name("end_of_input"), "")); in SaveInternal() 214 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("num_inputs_consumed"), in SaveInternal() 216 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 224 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 235 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 341 TF_RETURN_IF_ERROR(writer->WriteScalar( in WriteStatusLocked() 344 TF_RETURN_IF_ERROR(writer->WriteScalar(ErrorMessageKey(index), in WriteStatusLocked()
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D | shuffle_dataset_op.cc | 163 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("num_random_samples"), in SaveInternal() 170 writer->WriteScalar(full_name("end_of_input_sequence"), "")); in SaveInternal() 176 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("epoch"), epoch_)); in SaveInternal() 178 writer->WriteScalar(full_name("num_elements"), num_elements_)); in SaveInternal() 180 writer->WriteScalar(full_name("slices_size"), slices_.size())); in SaveInternal() 182 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 185 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 189 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal()
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D | interleave_dataset_op.cc | 217 writer->WriteScalar(full_name("cycle_index"), cycle_index_)); in SaveInternal() 219 writer->WriteScalar(full_name("block_index"), block_index_)); in SaveInternal() 222 writer->WriteScalar(full_name("end_of_input"), "")); in SaveInternal() 225 writer->WriteScalar(full_name("num_open"), num_open_)); in SaveInternal() 255 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveCurrentElements()
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D | flat_map_dataset_op.cc | 176 writer->WriteScalar(full_name("element_index"), element_index_)); in SaveInternal() 179 writer->WriteScalar(full_name("captured_func_inputs_size"), in SaveInternal() 188 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 192 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("exhausted"), "")); in SaveInternal()
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D | prefetch_dataset_op.cc | 157 writer->WriteScalar(full_name("buffer_size"), buffer_.size())); in SaveInternal() 162 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 283 TF_RETURN_IF_ERROR(writer->WriteScalar( in WriteStatus() 286 TF_RETURN_IF_ERROR(writer->WriteScalar(ErrorMessageKey(index), in WriteStatus()
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D | repeat_dataset_op.cc | 140 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("i"), i_)); in SaveInternal() 143 writer->WriteScalar(full_name("input_impl_empty"), "")); in SaveInternal() 207 writer->WriteScalar(full_name("uninitialized"), "")); in SaveInternal()
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D | reader_dataset_ops.cc | 172 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("current_file_index"), in SaveInternal() 179 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal() 438 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("current_file_index"), in SaveInternal() 446 writer->WriteScalar(full_name("current_pos"), current_pos)); in SaveInternal() 621 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("current_file_index"), in SaveInternal() 626 writer->WriteScalar(full_name("offset"), reader_->TellOffset())); in SaveInternal()
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D | sparse_tensor_slice_dataset_op.cc | 156 TF_RETURN_IF_ERROR(writer->WriteScalar(Iterator::full_name("i"), i_)); in SaveInternal() 158 writer->WriteScalar(Iterator::full_name("iter_loc"), iter_.loc())); in SaveInternal() 159 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal()
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D | take_dataset_op.cc | 141 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("i"), i_)); in SaveInternal() 146 writer->WriteScalar(full_name("input_impl_empty"), "")); in SaveInternal()
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D | skip_dataset_op.cc | 154 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("i"), i_)); in SaveInternal() 159 writer->WriteScalar(full_name("input_impl_empty"), "")); in SaveInternal()
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D | concatenate_dataset_op.cc | 129 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("i"), i_)); in SaveInternal() 134 writer->WriteScalar(full_name("input_impl_uninitialized"), "")); in SaveInternal()
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D | unique_dataset_op.cc | 119 writer->WriteScalar(full_name("input_impl_empty"), "")); in SaveInternal() 121 TF_RETURN_IF_ERROR(writer->WriteScalar( in SaveInternal()
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D | window_dataset.cc | 64 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("i"), i_)); in SaveInternal()
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D | tensor_dataset_op.cc | 111 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("produced"), "")); in SaveInternal()
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D | range_dataset_op.cc | 115 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("next"), next_)); in SaveInternal()
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D | random_dataset_op.cc | 112 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("num_random_samples"), in SaveInternal()
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/external/tensorflow/tensorflow/contrib/tensorboard/db/ |
D | summary_file_writer_test.cc | 108 TEST_F(SummaryFileWriterTest, WriteScalar) { in TEST_F() argument 114 TF_RETURN_IF_ERROR(writer->WriteScalar(2, one, "name")); in TEST_F() 208 TF_RETURN_IF_ERROR(writer->WriteScalar(2, one, "name")); in TEST_F()
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/external/flatbuffers/tests/namespace_test/ |
D | namespace_test1_generated.h | 65 flatbuffers::WriteScalar(&a_, _a); in mutate_a() 71 flatbuffers::WriteScalar(&b_, _b); in mutate_b()
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/external/flatbuffers/src/ |
D | reflection.cpp | 115 # define FLATBUFFERS_SET(T) WriteScalar(data, static_cast<T>(val)) in SetAnyValueI() 137 case reflection::Float: WriteScalar(data, static_cast<float>(val)); break; in SetAnyValueF() 138 case reflection::Double: WriteScalar(data, val); break; in SetAnyValueF() 190 WriteScalar<T>(offsetloc, ReadScalar<T>(offsetloc) + delta_ * D); in Straddle() 307 WriteScalar(vector_data(*flatbuf) + str_start, in SetString() 332 WriteScalar(vector_data(*flatbuf) + vec_start, newsize); // Length field. in ResizeAnyVector()
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/external/tensorflow/tensorflow/core/framework/ |
D | dataset.h | 58 virtual Status WriteScalar(StringPiece key, const int64 val) = 0; 59 virtual Status WriteScalar(StringPiece key, const string& val) = 0; 462 writer->WriteScalar(kDatasetGraphKey, serialized_graph_def)); in Save() 464 writer->WriteScalar(kDatasetGraphOutputNodeKey, output_node)); in Save()
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/external/tensorflow/tensorflow/core/kernels/ |
D | summary_interface.h | 40 virtual Status WriteScalar(int64 global_step, Tensor t,
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/external/tensorflow/tensorflow/contrib/kafka/kernels/ |
D | kafka_dataset_ops.cc | 172 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("current_topic_index"), in SaveInternal() 180 writer->WriteScalar(full_name("current_pos"), offset_)); in SaveInternal()
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/external/tensorflow/tensorflow/contrib/data/kernels/ |
D | ignore_errors_dataset_op.cc | 107 writer->WriteScalar(full_name("input_impls_empty"), "")); in SaveInternal()
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/external/flatbuffers/include/flatbuffers/ |
D | flatbuffers.h | 237 WriteScalar(data() + i, val); 246 WriteScalar(data() + i, 903 WriteScalar<voffset_t>(buf_.data() + sizeof(voffset_t), 905 WriteScalar<voffset_t>(buf_.data(), max_voffset_); 913 WriteScalar<voffset_t>(buf_.data() + field_location->id, pos); 940 WriteScalar(buf_.data_at(vtableoffsetloc), 1881 WriteScalar(data_ + field_offset, val); 1888 WriteScalar(data_ + field_offset,
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