| /external/junit/src/main/java/org/junit/runners/model/ |
| Statement.java | 1 package org.junit.runners.model;
|
| RunnerScheduler.java | 1 package org.junit.runners.model;
|
| /external/tensorflow/tensorflow/lite/kernels/ |
| rank_test.cc | 22 #include "tensorflow/lite/model.h"
53 RankOpModel model({1, 3, 1, 3, 5}, TensorType_FLOAT32);
54 model.Invoke();
56 EXPECT_THAT(model.GetOutput(), ElementsAreArray({5}));
57 EXPECT_TRUE(model.GetOutputShape().empty());
61 RankOpModel model({1, 3, 1, 3, 5}, TensorType_INT32);
62 model.Invoke();
64 EXPECT_THAT(model.GetOutput(), ElementsAreArray({5}));
65 EXPECT_TRUE(model.GetOutputShape().empty());
69 RankOpModel model({}, TensorType_FLOAT32)
[all...] |
| shape_test.cc | 22 #include "tensorflow/lite/model.h"
55 ShapeOpModel<int32_t> model({1, 3, 1, 3, 5}, TensorType_FLOAT32,
57 model.Invoke();
59 EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 3, 1, 3, 5}));
60 EXPECT_THAT(model.GetOutputShape(), ElementsAreArray({5}));
64 ShapeOpModel<int64_t> model({1, 3, 1, 3, 5}, TensorType_FLOAT32,
66 model.Invoke();
68 EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 3, 1, 3, 5}));
69 EXPECT_THAT(model.GetOutputShape(), ElementsAreArray({5}));
73 ShapeOpModel<int32_t> model({}, TensorType_FLOAT32, TensorType_INT32)
[all...] |
| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| remove_unused_op.cc | 21 #include "tensorflow/lite/toco/model.h"
28 ::tensorflow::Status RemoveUnusedOp::Run(Model* model, std::size_t op_index,
31 const auto it = model->operators.begin() + op_index;
35 // the model. We allow specifying an arbitrary input_array,
38 CHECK(model->HasArray(output));
39 // If this output is provided as the model's input array,
41 if (IsInputArray(*model, output)) {
50 for (const auto& rnn_state : model->flags.rnn_states()) {
61 for (const string& output_array : model->flags.output_arrays())
[all...] |
| identify_lstm.cc | 20 #include "tensorflow/lite/toco/model.h"
28 Model* model, const Operator& op) {
29 auto it = model->operators.begin();
30 for (; it != model->operators.end(); ++it) {
38 bool ValidateSourceOp(const Model& model, const string& array_name,
44 *source_op = GetOpWithOutput(model, array_name);
62 bool MatchOperatorInputs(const Operator& op, const Model& model,
[all...] |
| graph_transformations.cc | 32 void PrintModelStats(const string& label, const Model& model) {
34 for (const auto& array : model.GetArrayMap()) {
39 LOG(INFO) << label << ": " << model.operators.size() << " operators, "
40 << model.GetArrayMap().size() << " arrays (" << quantized_arrays
57 void DiscardUselessConnectedComponentsAndRNNBackEdges(Model* model) {
61 for (const string& output_array : model->flags.output_arrays()) {
67 for (const auto& op : model->operators) {
83 for (const auto& rnn_state : model->flags.rnn_states())
[all...] |
| remove_final_dequantize_op.cc | 21 #include "tensorflow/lite/toco/model.h"
28 ::tensorflow::Status RemoveFinalDequantizeOp::Run(Model* model,
32 const auto dequantize_it = model->operators.begin() + op_index;
40 // one of the model's output arrays, as some intermediate array
43 if (CountOpsWithInput(*model, output)) {
47 // If one of the model's output arrays was actually the Dequantize op's
49 for (int i = 0; i < model->flags.output_arrays_size(); i++) {
50 if (output == model->flags.output_arrays(i)) {
51 model->flags.set_output_arrays(i, dequantize_op->inputs[0])
[all...] |
| resolve_tensorflow_matmul.cc | 21 #include "tensorflow/lite/toco/model.h"
29 TransposeOperator* FindTransposeOpWithInput(const Model& model,
31 for (auto it = model.operators.begin(); it != model.operators.end(); ++it) {
39 const auto& permutation_array = model.GetArray(op->inputs[1]);
58 ::tensorflow::Status ResolveTensorFlowMatMul::Run(Model* model,
62 auto matmul_it = model->operators.begin() + op_index;
92 auto* transpose_op = FindTransposeOpWithInput(*model, input_rhs)
[all...] |
| /external/u-boot/common/ |
| board_info.c | 13 * If the root node of the DTB has a "model" property, show it.
20 const char *model; local
22 model = fdt_getprop(gd->fdt_blob, 0, "model", NULL);
24 if (model)
25 printf("Model: %s\n", model);
|
| /external/autotest/frontend/ |
| db_router.py | 43 def _should_be_in_server_db(self, model):
44 """Return True if the model should be stored in the server db.
46 @param model: Model to decide for.
48 @return: True if querying the model requires server database.
50 return model._meta.db_table.startswith('server')
53 def _should_be_in_global(self, model):
54 """Returns True if the model should be stored in the global db.
56 @param model: Model to decide for
[all...] |
| /cts/tests/openglperf2/jni/graphics/ |
| TransformationNode.cpp | 24 void TransformationNode::before(Program& program, Matrix& model, Matrix& view,
27 mSavedModelMatrix.loadWith(model);
29 model.multiply(*mMatrix, mSavedModelMatrix);
32 void TransformationNode::after(Program& program, Matrix& model, Matrix& view,
35 model.loadWith(mSavedModelMatrix);
|
| ProgramNode.cpp | 21 void ProgramNode::before(Program& program, Matrix& model, Matrix& view, Matrix& projection) {
22 program.before(model, view, projection);
25 void ProgramNode::after(Program& program, Matrix& model, Matrix& view, Matrix& projection) {
26 program.after(model, view, projection);
29 void ProgramNode::drawProgram(Matrix& model, Matrix& view, Matrix& projection) {
30 SceneGraphNode::draw(mProgram, model, view, projection);
|
| /external/tensorflow/tensorflow/python/keras/engine/ |
| sequential_test.py | 15 """Tests specific to `Sequential` model."""
36 """Most Sequential model API tests are covered in `training_test.py`.
41 model = keras.models.Sequential()
42 model.add(keras.layers.Dense(1, input_dim=2))
43 model.add(keras.layers.Dropout(0.3, name='dp'))
44 model.add(keras.layers.Dense(2, kernel_regularizer='l2',
46 self.assertEqual(len(model.layers), 3)
47 self.assertEqual(len(model.weights), 2 * 2)
48 self.assertEqual(model.get_layer(name='dp').name, 'dp')
52 model = keras.models.Sequential(
216 model = keras.models.Sequential() variable in class:TestSequential.test_invalid_use_cases.MyLayer
219 model = keras.models.Sequential() variable in class:TestSequential.test_invalid_use_cases.MyLayer
[all...] |
| /external/libtextclassifier/actions/ |
| zlib-utils.cc | 27 // Compress rule fields in the model.
28 bool CompressActionsModel(ActionsModelT* model) {
31 TC3_LOG(ERROR) << "Cannot compress model.";
36 if (model->rules != nullptr) {
37 for (int i = 0; i < model->rules->rule.size(); i++) {
38 RulesModel_::RuleT* rule = model->rules->rule[i].get();
45 if (model->low_confidence_rules != nullptr) {
46 for (int i = 0; i < model->low_confidence_rules->rule.size(); i++) {
47 RulesModel_::RuleT* rule = model->low_confidence_rules->rule[i].get();
63 if (!model->lua_actions_script.empty())
[all...] |
| zlib-utils_test.cc | 31 ActionsModelT model; local
34 model.rules.reset(new RulesModelT);
35 model.rules->rule.emplace_back(new RulesModel_::RuleT);
36 model.rules->rule.back()->pattern = kTestPattern1;
37 model.rules->rule.emplace_back(new RulesModel_::RuleT);
38 model.rules->rule.back()->pattern = kTestPattern2;
40 // Compress the model.
41 EXPECT_TRUE(CompressActionsModel(&model));
44 EXPECT_TRUE(model.rules->rule[0]->pattern.empty());
45 EXPECT_TRUE(model.rules->rule[1]->pattern.empty())
[all...] |
| /external/libtextclassifier/annotator/ |
| zlib-utils_test.cc | 29 ModelT model; local
30 model.regex_model.reset(new RegexModelT);
31 model.regex_model->patterns.emplace_back(new RegexModel_::PatternT);
32 model.regex_model->patterns.back()->pattern = "this is a test pattern";
33 model.regex_model->patterns.emplace_back(new RegexModel_::PatternT);
34 model.regex_model->patterns.back()->pattern = "this is a second test pattern";
36 model.datetime_model.reset(new DatetimeModelT);
37 model.datetime_model->patterns.emplace_back(new DatetimeModelPatternT);
38 model.datetime_model->patterns.back()->regexes.emplace_back(
40 model.datetime_model->patterns.back()->regexes.back()->pattern
[all...] |
| /external/glide/library/src/main/java/com/bumptech/glide/load/model/file_descriptor/ |
| FileDescriptorModelLoader.java | 1 package com.bumptech.glide.load.model.file_descriptor;
5 import com.bumptech.glide.load.model.ModelLoader;
10 * @param <T> The type of the model that will be translated into an {@link java.io.File}.
|
| /external/glide/library/src/main/java/com/bumptech/glide/load/model/stream/ |
| StreamModelLoader.java | 1 package com.bumptech.glide.load.model.stream;
3 import com.bumptech.glide.load.model.ModelLoader;
10 * @param <T> The type of the model that will be translated into an {@link InputStream}.
|
| /external/testng/src/main/java/org/testng/mustache/ |
| BaseChunk.java | 5 protected Model m_model;
7 public BaseChunk(Model model) {
8 m_model = model;
|
| /external/u-boot/arch/arm/dts/ |
| armada-7040.dtsi | 53 model = "Marvell Armada 7040";
|
| imx6dl-icore.dts | 49 model = "Engicam i.CoreM6 DualLite/Solo Starter Kit";
|
| imx6q-icore.dts | 49 model = "Engicam i.CoreM6 Quad/Dual Starter Kit";
|
| /external/turbine/java/com/google/turbine/model/ |
| TurbineTyKind.java | 17 package com.google.turbine.model;
|
| /cts/hostsidetests/atrace/src/android/atrace/cts/ |
| TraceResult.java | 19 import trebuchet.model.Model;
23 private final Model mModel;
25 public TraceResult(PidTidPair pidTidPair, Model model) {
26 mModel = model;
32 public Model getModel() { return mModel; }
|
