| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| dequantize.cc | 44 Model* model, const string& array_name) {
47 if (input == array_name) {
55 void ClearArrayQuantizationParams(const string& array_name, Model* model) {
56 auto* array = &model->GetArray(array_name);
59 if (input_array.name() == array_name) {
78 bool DequantizeArray(const string& array_name,
80 auto* array = &model->GetArray(array_name);
84 transformation->AddMessageF("Dequantizing array: %s", array_name);
99 ClearArrayQuantizationParams(array_name, model);
106 ClearArrayQuantizationParams(array_name, model)
[all...] |
| lstm_utils.cc | 20 const string& array_name) {
21 *input_array_buffer = array_name;
22 model->CreateOptionalArray(array_name);
42 string* array_name,
44 *array_name = AvailableArrayName(*model, *array_name);
45 auto& array = model->GetOrCreateArray(*array_name);
54 void CopySubArrayToArray(Model* model, string* array_name,
62 CreateFloatArrayBuffer(model, array_name, shape);
|
| read_array_minmax_and_narrow_range_from_fake_quant.cc | 32 const string& array_name) {
34 auto& annotated_array = model->GetArray(array_name);
39 "Read min/max annotation for array %s: min=%g, max=%g", array_name,
46 array_name);
|
| lstm_utils.h | 66 const string& array_name);
70 string* array_name,
94 void CopySubArrayToArray(Model* model, string* array_name,
|
| propagate_default_min_max.cc | 73 bool PropagateDefaultMinMax::SetArrayMinMax(const string& array_name,
89 ArrayDataTypeName(quantized_data_type), array_name);
94 array->GetMinMax().min, array->GetMinMax().max, array_name,
|
| remove_trivial_passthrough.cc | 147 for (const auto& array_name : model->flags.output_arrays()) {
148 if (array_name == removal_candidate) {
|
| hardcode_min_max.cc | 285 for (const string& array_name : array_names) {
286 if (model->GetArray(array_name).minmax) {
287 reference_array_name = array_name;
288 reference_minmax = model->GetArray(array_name).minmax.get();
297 for (const string& array_name : array_names) {
298 auto& array = model->GetArray(array_name);
303 << reference_minmax->max << ") and " << array_name << " ("
|
| resolve_tensorflow_matmul.cc | 30 const string& array_name) {
36 if (op->inputs[0] != array_name) {
|
| quantize.cc | 83 const MinMax& GetOrComputeMinMax(Model* model, const string& array_name) {
84 auto& array = model->GetArray(array_name);
129 << "Constant array " << array_name
145 LOG(FATAL) << "Array " << array_name
|
| identify_lstm.cc | 38 bool ValidateSourceOp(const Model& model, const string& array_name,
44 *source_op = GetOpWithOutput(model, array_name);
|
| graph_transformations.h | 230 bool SetArrayMinMax(const string& array_name, Array* array);
|
| /external/tensorflow/tensorflow/lite/toco/ |
| allocate_transient_arrays.cc | 58 const string& array_name, std::size_t op_index,
60 if (array_lifespans->count(array_name)) {
61 auto& lifespan = array_lifespans->at(array_name);
70 (*array_lifespans)[array_name] = lifespan;
162 std::size_t TransientArraySize(const Model& model, const string& array_name,
164 if (!IsAllocatableTransientArray(model, array_name)) {
167 const auto& array = &model.GetArray(array_name);
169 << "Array '" << array_name << "' doesn't have a shape";
173 if (rnn_state.state_array() == array_name) {
175 << "A RNN state array, " << array_name << ", still does not
261 const string& array_name = array_pair.first; local
312 const string& array_name = array_pair.first; local
[all...] |
| tooling_util.h | 62 bool IsInputArray(const Model& model, const string& array_name);
64 bool IsOutputArray(const Model& model, const string& array_name);
69 int CountOpsWithInput(const Model& model, const string& array_name);
70 bool DeleteArrayIfUnused(const string& array_name, Model* model);
71 bool DeleteArrayIfUsedOnce(const string& array_name, Model* model);
78 const Model& model, const string& array_name);
79 Operator* GetOpWithOutput(const Model& model, const string& array_name);
82 Model& model, const string& array_name);
85 const Model& model, const string& array_name);
88 Model& model, const string& array_name);
[all...] |
| tooling_util.cc | 99 bool IsInputArray(const Model& model, const string& array_name) {
101 if (array_name == input_array.name()) {
108 bool IsOutputArray(const Model& model, const string& array_name) {
110 if (array_name == output_array) {
142 int CountOpsWithInput(const Model& model, const string& array_name) {
146 if (input == array_name) {
158 bool DeleteArrayIfUnused(const string& array_name, Model* model) {
159 if (IsDiscardableArray(*model, array_name) &&
160 CountOpsWithInput(*model, array_name) == 0) {
161 model->EraseArray(array_name);
[all...] |
| dump_graphviz.cc | 123 void GetArrayColorAndShape(const Model& model, const string& array_name,
130 if (array_name == rnn_state.state_array()) {
137 if (array_name == rnn_state.back_edge_source_array()) {
144 if (model.GetArray(array_name).buffer) {
153 if (IsInputArray(model, array_name)) {
158 if (IsOutputArray(model, array_name)) {
170 string GetArrayCompassPt(const Model& model, const string& array_name) {
177 if (array_name == rnn_state.state_array()) {
181 if (array_name == rnn_state.back_edge_source_array()) {
185 if (IsInputArray(model, array_name)) {
[all...] |
| toco_tooling.cc | 170 string const& array_name = model->flags.input_arrays(i).name(); local
171 auto* array = &model->GetArray(array_name);
|
| export_tensorflow.cc | 82 const string& array_name) {
83 return GetTensorFlowDataType(model.GetArray(array_name).data_type,
84 "array '" + array_name + "'");
2458 const string& array_name = array_pair.first; local
2484 const string& array_name = array_kv.first; local
[all...] |
| /external/dynamic_depth/internal/xmpmeta/xml/ |
| serializer.h | 68 virtual bool WriteIntArray(const string& prefix, const string& array_name,
70 virtual bool WriteDoubleArray(const string& prefix, const string& array_name,
|
| serializer_impl.h | 150 bool WriteIntArray(const string& prefix, const string& array_name,
152 bool WriteDoubleArray(const string& prefix, const string& array_name,
|
| serializer_impl.cc | 159 const string& array_name,
178 if (array_name.empty()) {
185 ToXmlChar(array_name.data()));
203 const string& array_name,
222 if (array_name.empty()) {
229 ToXmlChar(array_name.data()));
|
| /external/tensorflow/tensorflow/java/src/gen/cc/ |
| op_generator.cc | 118 string array_name = attr.var().name() + "Array"; local
120 .Append("[] " + array_name + " = new ")
124 .BeginBlock("for (int i = 0; i < " + array_name + ".length; ++i)")
125 .Append(array_name + "[i] = ");
134 .Append(array_name + ");")
|
| /external/vulkan-validation-layers/layers/ |
| stateless_validation.h | 409 * @param array_name Name of array parameter.
417 bool validate_handle_array(const char *api_name, const ParameterName &count_name, const ParameterName &array_name,
422 skip_call |= validate_array(api_name, count_name, array_name, count, &array, count_required, array_required,
431 api_name, array_name.get_name().c_str(), i);
[all...] |
| /bionic/linker/ |
| linker_soinfo.cpp | 370 static void call_array(const char* array_name __unused,
379 TRACE("[ Calling %s (size %zd) @ %p for '%s' ]", array_name, count, functions, realpath);
386 TRACE("[ %s[%d] == %p ]", array_name, i, functions[i]);
390 TRACE("[ Done calling %s for '%s' ]", array_name, realpath);
|
| /external/freetype/src/tools/ |
| glnames.py | [all...] |
| /external/brotli/c/dec/ |
| decode.c | 35 #define BROTLI_LOG_ARRAY_INDEX(array_name, idx) \
36 BROTLI_LOG(("[%s] %s[%lu] = %lu\n", __func__, #array_name, \
37 (unsigned long)(idx), (unsigned long)array_name[idx]))
[all...] |
