| /external/tensorflow/tensorflow/core/kernels/ |
| summary_interface.h | 41 virtual Status WriteScalar(int64 global_step, Tensor t,
|
| /external/tensorflow/tensorflow/core/kernels/data/experimental/ |
| matching_files_dataset_op.cc | 192 TF_RETURN_IF_ERROR(writer->WriteScalar(
195 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("current_pattern"),
198 writer->WriteScalar(full_name("hasMatch"), hasMatch_));
200 writer->WriteScalar(full_name("isWindows"), isWindows_));
203 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("queue_size"),
208 writer->WriteScalar(full_name(strings::StrCat("path_", i)),
210 TF_RETURN_IF_ERROR(writer->WriteScalar(
|
| parallel_interleave_dataset_op.cc | 382 writer->WriteScalar(full_name("input_exhausted"), ""));
385 writer->WriteScalar(full_name("next_index"), next_index_));
387 writer->WriteScalar(full_name("block_count"), block_count_));
389 writer->WriteScalar(full_name("workers_size"), workers_.size()));
396 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("interleave_size"),
399 TF_RETURN_IF_ERROR(writer->WriteScalar(
403 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("staging_size"),
406 TF_RETURN_IF_ERROR(writer->WriteScalar(
412 writer->WriteScalar(full_name("worker_threads_running"), ""));
[all...] |
| group_by_window_dataset_op.cc | 297 writer->WriteScalar(full_name("end_of_input"), ""));
303 writer->WriteScalar(full_name("groups_size"), groups_.size()));
307 TF_RETURN_IF_ERROR(writer->WriteScalar(
318 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("window_sizes_size"),
323 TF_RETURN_IF_ERROR(writer->WriteScalar(
326 TF_RETURN_IF_ERROR(writer->WriteScalar(
338 writer->WriteScalar(full_name("current_key"), current_key_));
340 TF_RETURN_IF_ERROR(writer->WriteScalar(
408 writer->WriteScalar(strings::StrCat(name, "_size"), group.size()));
410 TF_RETURN_IF_ERROR(writer->WriteScalar(
[all...] |
| unbatch_dataset_op.cc | 170 writer->WriteScalar(full_name("input_impl_empty"), ""));
173 writer->WriteScalar(full_name("current_index"), current_index_));
175 writer->WriteScalar(full_name("n"), current_batch_size_));
|
| group_by_reducer_dataset_op.cc | 282 writer->WriteScalar(full_name("end_of_input"), ""));
288 writer->WriteScalar(full_name("states_size"), states_.size()));
292 TF_RETURN_IF_ERROR(writer->WriteScalar(
295 TF_RETURN_IF_ERROR(writer->WriteScalar(
311 writer->WriteScalar(full_name("keys_index"), keys_index_));
314 writer->WriteScalar(full_name("keys_size"), keys_.size()));
316 TF_RETURN_IF_ERROR(writer->WriteScalar(
|
| sliding_window_dataset_op.cc | 243 writer->WriteScalar(full_name("input_impl_empty"), ""));
248 TF_RETURN_IF_ERROR(writer->WriteScalar(strings::StrCat("buffer_size"),
251 TF_RETURN_IF_ERROR(writer->WriteScalar(
|
| map_and_batch_dataset_op.cc | 331 writer->WriteScalar(full_name("call_counter"), call_counter_));
332 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("batch_results_size"),
731 TF_RETURN_IF_ERROR(writer->WriteScalar(
734 TF_RETURN_IF_ERROR(writer->WriteScalar(
737 TF_RETURN_IF_ERROR(writer->WriteScalar(
741 TF_RETURN_IF_ERROR(writer->WriteScalar(
744 TF_RETURN_IF_ERROR(writer->WriteScalar(
769 writer->WriteScalar(full_name(strings::StrCat(prefix, "_code")),
773 writer->WriteScalar(full_name(strings::StrCat(prefix, "_msg"))
[all...] |
| /external/tensorflow/tensorflow/core/kernels/data/ |
| dataset_utils.h | 85 Status WriteScalar(StringPiece key, const int64 val) override;
86 Status WriteScalar(StringPiece key, const string& val) override;
|
| parallel_interleave_dataset_op.cc | 282 writer->WriteScalar(full_name("block_index"), block_index_));
284 writer->WriteScalar(full_name("cycle_index"), cycle_index_));
287 writer->WriteScalar(full_name("end_of_input"), ""));
289 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("element_id_counter"),
292 writer->WriteScalar(full_name("num_open"), num_open_));
668 TF_RETURN_IF_ERROR(writer->WriteScalar(
671 TF_RETURN_IF_ERROR(writer->WriteScalar(
711 TF_RETURN_IF_ERROR(writer->WriteScalar(
714 TF_RETURN_IF_ERROR(writer->WriteScalar(
725 TF_RETURN_IF_ERROR(writer->WriteScalar(
[all...] |
| take_dataset_op.cc | 108 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("i"), i_));
113 writer->WriteScalar(full_name("input_impl_empty"), ""));
|
| flat_map_dataset_op.cc | 185 writer->WriteScalar(full_name("element_index"), element_index_));
188 writer->WriteScalar(full_name("captured_func_inputs_size"),
197 TF_RETURN_IF_ERROR(writer->WriteScalar(
201 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("exhausted"), ""));
|
| repeat_dataset_op.cc | 173 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("i"), i_));
176 writer->WriteScalar(full_name("input_impl_empty"), ""));
254 writer->WriteScalar(full_name("uninitialized"), ""));
|
| interleave_dataset_op.cc | 228 writer->WriteScalar(full_name("cycle_index"), cycle_index_));
230 writer->WriteScalar(full_name("block_index"), block_index_));
233 writer->WriteScalar(full_name("end_of_input"), ""));
236 writer->WriteScalar(full_name("num_open"), num_open_));
266 TF_RETURN_IF_ERROR(writer->WriteScalar(
|
| parallel_map_iterator.cc | 121 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("invocation_results.size"),
126 TF_RETURN_IF_ERROR(writer->WriteScalar(
136 writer->WriteScalar(full_name(strings::StrCat("invocation_results[",
344 writer->WriteScalar(CodeKey(index), static_cast<int64>(status.code())));
347 writer->WriteScalar(ErrorMessageKey(index), status.error_message()));
|
| window_dataset_op.cc | 261 writer->WriteScalar(full_name("input_impl_empty"), ""));
266 TF_RETURN_IF_ERROR(writer->WriteScalar(strings::StrCat("buffer_size"),
271 writer->WriteScalar(strings::StrCat("buffer[", i, "].size"),
323 TF_RETURN_IF_ERROR(writer->WriteScalar(
326 TF_RETURN_IF_ERROR(writer->WriteScalar(ErrorMessageKey(index),
|
| cache_dataset_ops.cc | 147 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("mode"), mode_));
265 writer->WriteScalar(full_name("iteration_completed"), ""));
290 writer->WriteScalar(full_name("cur_index"), cur_index_));
292 writer->WriteScalar(full_name("shard_id"), shard_id_));
496 writer->WriteScalar(full_name("cur_index"), cur_index_));
732 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("mode"), mode_));
735 writer->WriteScalar(full_name("cache_claimed"), ""));
738 writer->WriteScalar(full_name("cache_size"), cache_size));
741 TF_RETURN_IF_ERROR(writer->WriteScalar(
752 writer->WriteScalar(full_name("cache_completed"), ""))
[all...] |
| shuffle_dataset_op.cc | 199 TF_RETURN_IF_ERROR(writer->WriteScalar(
201 TF_RETURN_IF_ERROR(writer->WriteScalar(this->full_name("seed"), seed_));
203 writer->WriteScalar(this->full_name("seed2"), seed2_));
208 TF_RETURN_IF_ERROR(writer->WriteScalar(
216 writer->WriteScalar(this->full_name("epoch"), epoch_));
217 TF_RETURN_IF_ERROR(writer->WriteScalar(this->full_name("num_elements"),
219 TF_RETURN_IF_ERROR(writer->WriteScalar(this->full_name("slices_size"),
222 TF_RETURN_IF_ERROR(writer->WriteScalar(
225 TF_RETURN_IF_ERROR(writer->WriteScalar(
230 TF_RETURN_IF_ERROR(writer->WriteScalar(
[all...] |
| filter_dataset_op.cc | 257 writer->WriteScalar(full_name("input_impls_empty"), ""));
258 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("filtered_elements"),
260 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("dropped_elements"),
|
| sparse_tensor_slice_dataset_op.cc | 164 TF_RETURN_IF_ERROR(writer->WriteScalar(Iterator::full_name("i"), i_));
166 writer->WriteScalar(Iterator::full_name("iter_loc"), iter_.loc()));
167 TF_RETURN_IF_ERROR(writer->WriteScalar(
|
| prefetch_dataset_op.cc | 167 writer->WriteScalar(full_name("buffer_size"), buffer_.size()));
172 TF_RETURN_IF_ERROR(writer->WriteScalar(
329 TF_RETURN_IF_ERROR(writer->WriteScalar(
332 TF_RETURN_IF_ERROR(writer->WriteScalar(ErrorMessageKey(index),
|
| window_dataset.cc | 86 TF_RETURN_IF_ERROR(writer->WriteScalar(full_name("i"), i_));
|
| /external/flatbuffers/tests/namespace_test/ |
| namespace_test1_generated.h | 70 flatbuffers::WriteScalar(&a_, _a);
76 flatbuffers::WriteScalar(&b_, _b);
|
| /external/tensorflow/tensorflow/core/summary/ |
| summary_file_writer_test.cc | 127 TEST_F(SummaryFileWriterTest, WriteScalar) {
133 TF_RETURN_IF_ERROR(writer->WriteScalar(2, one, "name"));
227 TF_RETURN_IF_ERROR(writer->WriteScalar(2, one, "name"));
|
| /external/flatbuffers/include/flatbuffers/ |
| base.h | 362 void WriteScalar(void *p, T t) {
367 template<typename T> __supress_ubsan__("alignment") void WriteScalar(void *p, Offset<T> t) {
|
