| /frameworks/support/core/ktx/src/main/java/androidx/core/graphics/ |
| Canvas.kt | 27 val checkpoint = save()
31 restoreToCount(checkpoint)
44 val checkpoint = save()
49 restoreToCount(checkpoint)
63 val checkpoint = save()
68 restoreToCount(checkpoint)
83 val checkpoint = save()
88 restoreToCount(checkpoint)
101 val checkpoint = save()
106 restoreToCount(checkpoint)
[all...] |
| /external/perfetto/src/base/test/ |
| test_task_runner.cc | 54 void TestTaskRunner::RunUntilCheckpoint(const std::string& checkpoint,
57 if (checkpoints_.count(checkpoint) == 0) {
58 fprintf(stderr, "[TestTaskRunner] Checkpoint \"%s\" does not exist.\n",
59 checkpoint.c_str());
62 if (checkpoints_[checkpoint])
66 [this, checkpoint] {
67 if (checkpoints_[checkpoint])
69 fprintf(stderr, "[TestTaskRunner] Failed to reach checkpoint \"%s\"\n",
70 checkpoint.c_str());
75 pending_checkpoint_ = checkpoint;
[all...] |
| test_task_runner.h | 54 std::function<void()> CreateCheckpoint(const std::string& checkpoint);
55 void RunUntilCheckpoint(const std::string& checkpoint,
|
| /external/tensorflow/tensorflow/core/kernels/ |
| save_restore_tensor.h | 26 // Legacy / V1 checkpoint format.
37 checkpoint::TensorSliceWriter::CreateBuilderFunction builder_func,
53 checkpoint::TensorSliceReader::OpenTableFunction open_func,
56 // V2 checkpoint format.
58 // Invokes the V2 checkpoint read path to read tensors.
|
| restore_op.cc | 34 preferred_shard_ = checkpoint::TensorSliceReader::kLoadAllShards;
43 RestoreTensor(context, &checkpoint::OpenTableTensorSliceReader,
60 preferred_shard_ = checkpoint::TensorSliceReader::kLoadAllShards;
69 RestoreTensor(context, &checkpoint::OpenTableTensorSliceReader,
|
| save_restore_tensor.cc | 40 checkpoint::TensorSliceWriter::CreateBuilderFunction builder_func,
82 checkpoint::TensorSliceWriter writer(filename_t.flat<string>()(0),
90 // checkpoint.
106 OP_REQUIRES_OK(context, checkpoint::ParseShapeAndSlice(
143 checkpoint::TensorSliceReader::OpenTableFunction open_func,
160 std::unique_ptr<checkpoint::TensorSliceReader> allocated_reader;
162 const checkpoint::TensorSliceReader* reader =
166 allocated_reader.reset(new checkpoint::TensorSliceReader(
178 "\" not found in checkpoint files ", file_pattern));
193 OP_REQUIRES_OK(context, checkpoint::ParseShapeAndSlice
[all...] |
| save_op.cc | 34 SaveTensors(context, &checkpoint::CreateTableTensorSliceBuilder, false);
45 SaveTensors(context, &checkpoint::CreateTableTensorSliceBuilder, true);
|
| /external/vixl/src/ |
| pool-manager-impl.h | 63 // the alignment into account, which only makes the checkpoint calculations
116 // Recalculate the checkpoint before emitting the footer. The footer might
162 T PoolManager<T>::UpdateCheckpointForObject(T checkpoint,
164 checkpoint -= object->label_base_->GetPoolObjectSizeInBytes();
165 if (checkpoint > object->max_location_) checkpoint = object->max_location_;
166 checkpoint = AlignDown(checkpoint, object->alignment_);
167 return checkpoint;
176 static inline bool CheckCurrentPC(T pc, T checkpoint) {
318 T checkpoint = MaxCheckpoint<T>(); local
[all...] |
| /external/tensorflow/tensorflow/contrib/util/ |
| inspect_checkpoint.cc | 26 tensorflow::checkpoint::TensorSliceReader reader(
27 in, tensorflow::checkpoint::OpenTableTensorSliceReader);
30 fprintf(stderr, "Unable to open the checkpoint file\n");
|
| /external/autotest/client/tests/selftest/ |
| selftest.py | 16 def __mark(self, checkpoint):
29 logging.debug("checkpoint %d %d", current, checkpoint)
31 if (current != checkpoint):
33 "%d when %d expected" % (current, checkpoint))
|
| /external/tensorflow/tensorflow/core/util/ |
| saved_tensor_slice_util_test.cc | 25 namespace checkpoint { namespace in namespace:tensorflow
45 } // namespace checkpoint
|
| tensor_slice_reader_cache.h | 31 namespace checkpoint { namespace in namespace:tensorflow
84 } // namespace checkpoint
|
| tensor_slice_set.h | 38 namespace checkpoint { namespace in namespace:tensorflow
104 } // namespace checkpoint
|
| /external/tensorflow/tensorflow/python/util/ |
| py_checkpoint_reader.i | 27 %typemap(out) const tensorflow::checkpoint::TensorSliceReader::VarToShapeMap& {
71 %typemap(out) const tensorflow::checkpoint::TensorSliceReader::VarToDataTypeMap& {
105 tensorflow::checkpoint::CheckpointReader* reader,
124 tensorflow::checkpoint::CheckpointReader* reader,
131 %unignore tensorflow::checkpoint;
132 %unignore tensorflow::checkpoint::CheckpointReader;
133 %unignore tensorflow::checkpoint::CheckpointReader::CheckpointReader;
134 %unignore tensorflow::checkpoint::CheckpointReader::~CheckpointReader;
135 %rename("debug_string") tensorflow::checkpoint::CheckpointReader::DebugString;
136 %rename("get_variable_to_shape_map") tensorflow::checkpoint::CheckpointReader::GetVariableToShapeMap
[all...] |
| /external/tensorflow/tensorflow/python/training/ |
| checkpointable.py | 86 def __init__(self, checkpoint, proto_id):
87 """Specify an object within a checkpoint.
90 checkpoint: A _Checkpoint object.
93 self._checkpoint = checkpoint
106 """Set a checkpoint<->object correspondence and process slot variables.
116 checkpoint = self.checkpoint
117 current_assignment = checkpoint.object_by_proto_id.get(self._proto_id, None)
119 checkpoint.object_by_proto_id[self._proto_id] = checkpointable
121 checkpoint.deferred_slot_restorations.pop(self._proto_id, ()))
189 def checkpoint(self): member in class:_CheckpointPosition
[all...] |
| /external/tensorflow/tensorflow/core/profiler/internal/ |
| tfprof_stats.h | 57 std::unique_ptr<checkpoint::CheckpointReader> ckpt_reader);
60 std::unique_ptr<checkpoint::CheckpointReader> ckpt_reader);
112 std::unique_ptr<checkpoint::CheckpointReader> ckpt_reader_;
|
| tfprof_tensor_test.cc | 46 std::unique_ptr<checkpoint::CheckpointReader> ckpt_reader(
47 new checkpoint::CheckpointReader(ckpt_path, status));
|
| tfprof_graph.h | 45 explicit TFGraph(checkpoint::CheckpointReader* ckpt_reader)
|
| tfprof_scope.h | 42 explicit TFScope(checkpoint::CheckpointReader* ckpt_reader)
|
| tfprof_show.h | 42 explicit TFShow(checkpoint::CheckpointReader* ckpt_reader)
121 checkpoint::CheckpointReader* ckpt_reader_;
|
| /external/tensorflow/tensorflow/c/ |
| checkpoint_reader.h | 30 namespace checkpoint { namespace in namespace:tensorflow
35 // checkpoint::TensorSliceReader (for V1), that is more easily SWIG wrapped for
79 } // namespace checkpoint
|
| /external/perfetto/src/ipc/ |
| unix_socket_unittest.cc | 84 auto checkpoint = task_runner_.CreateCheckpoint("failure"); local
86 .WillOnce(InvokeWithoutArgs(checkpoint));
107 auto checkpoint = task_runner_.CreateCheckpoint("cli_connected"); local
110 .WillOnce(InvokeWithoutArgs(checkpoint));
230 auto checkpoint = task_runner_.CreateCheckpoint(std::to_string(i)); local
232 .WillOnce(Invoke([checkpoint](UnixSocket* s) {
234 checkpoint();
269 auto checkpoint = task_runner_.CreateCheckpoint("change_seen_by_server"); local
272 [this, tmp_fd, checkpoint, mem](UnixSocket*, UnixSocket* new_conn) {
277 .WillOnce(Invoke([checkpoint, mem](UnixSocket* s)
293 auto checkpoint = task_runner_.CreateCheckpoint("change_seen_by_client"); local
[all...] |
| /system/vold/bench/ |
| benchgen.py | 168 static status_t BenchmarkRun(std::function<bool(int)> checkpoint) {
185 print >>bench, "if (!checkpoint(%d)) return -1;" % (50 + ((i * 50) / total))
308 static status_t BenchmarkCreate(std::function<bool(int)> checkpoint) {
317 print >>bench, "if (!checkpoint(%d)) return -1;" % ((i * 50) / total)
|
| /toolchain/binutils/binutils-2.27/gold/ |
| dwarf_reader.h | 76 // Checkpoint the current position in the reloc section.
78 checkpoint() const function in class:gold::Elf_reloc_mapper
81 // Reset the current position to the CHECKPOINT.
83 reset(uint64_t checkpoint)
84 { this->do_reset(checkpoint); }
101 // Checkpoint the current position in the reloc section.
105 // Reset the current position to the CHECKPOINT.
107 do_reset(uint64_t checkpoint) = 0;
137 // Checkpoint the current position in the reloc section.
140 { return this->track_relocs_.checkpoint(); }
[all...] |
| /external/tensorflow/tensorflow/contrib/eager/python/ |
| checkpointable_utils.py | 40 # Keyword for identifying that the next bit of a checkpoint variable name is a
41 # slot name. Checkpoint names for slot variables look like:
45 # Where <path to variable> is a full path from the checkpoint root to the
49 # attribute in checkpoint names. Used like:
139 # where <variable name> is exactly the checkpoint name used for the original
140 # variable, including the path from the checkpoint root and the local name in
237 """Determine checkpoint keys for variables and build a serialized graph.
289 """Save a training checkpoint.
292 file_prefix: A prefix to use for the checkpoint filenames
295 root_checkpointable: A Checkpointable object to save. The checkpoint
[all...] |
