| /external/glide/library/src/main/java/com/bumptech/glide/load/model/stream/ |
| HttpUrlGlideUrlLoader.java | 1 package com.bumptech.glide.load.model.stream;
7 import com.bumptech.glide.load.model.GenericLoaderFactory;
8 import com.bumptech.glide.load.model.GlideUrl;
9 import com.bumptech.glide.load.model.ModelCache;
10 import com.bumptech.glide.load.model.ModelLoader;
11 import com.bumptech.glide.load.model.ModelLoaderFactory;
16 * An {@link com.bumptech.glide.load.model.ModelLoader} for translating {@link com.bumptech.glide.load.model.GlideUrl}
24 * The default factory for {@link com.bumptech.glide.load.model.stream.HttpUrlGlideUrlLoader}s.
49 public DataFetcher<InputStream> getResourceFetcher(GlideUrl model, int width, int height)
[all...] |
| StreamByteArrayLoader.java | 1 package com.bumptech.glide.load.model.stream;
7 import com.bumptech.glide.load.model.GenericLoaderFactory;
8 import com.bumptech.glide.load.model.ModelLoader;
9 import com.bumptech.glide.load.model.ModelLoaderFactory;
34 public DataFetcher<InputStream> getResourceFetcher(byte[] model, int width, int height) {
35 return new ByteArrayFetcher(model, id);
39 * Factory for {@link com.bumptech.glide.load.model.stream.StreamByteArrayLoader}.
|
| StreamUrlLoader.java | 1 package com.bumptech.glide.load.model.stream;
5 import com.bumptech.glide.load.model.GenericLoaderFactory;
6 import com.bumptech.glide.load.model.GlideUrl;
7 import com.bumptech.glide.load.model.ModelLoader;
8 import com.bumptech.glide.load.model.ModelLoaderFactory;
9 import com.bumptech.glide.load.model.UrlLoader;
15 * A wrapper class that translates {@link java.net.URL} objects into {@link com.bumptech.glide.load.model.GlideUrl}
16 * objects and then uses the wrapped {@link com.bumptech.glide.load.model.ModelLoader} for
17 * {@link com.bumptech.glide.load.model.GlideUrl}s to load the {@link java.io.InputStream} data.
22 * The default factory for {@link com.bumptech.glide.load.model.stream.StreamUrlLoader}s
[all...] |
| /external/libtextclassifier/actions/ |
| zlib-utils.h | 17 // Functions to compress and decompress low entropy entries in the model.
28 // Compresses regex rules in the model in place.
29 bool CompressActionsModel(ActionsModelT* model);
31 // Decompresses regex rules in the model in place.
32 bool DecompressActionsModel(ActionsModelT* model);
34 // Compresses regex rules in the model.
35 std::string CompressSerializedActionsModel(const std::string& model);
|
| /external/tensorflow/tensorflow/lite/kernels/ |
| ceil_test.cc | 20 #include "tensorflow/lite/model.h"
49 CeilOpModel model({2}, TensorType_FLOAT32);
50 model.PopulateTensor<float>(model.input(), {8.5, 0.0});
51 model.Invoke();
52 EXPECT_THAT(model.GetOutput(), ElementsAreArray({9, 0}));
53 EXPECT_THAT(model.GetOutputShape(), ElementsAreArray({2}));
57 CeilOpModel model({2, 1, 1, 5}, TensorType_FLOAT32);
58 model.PopulateTensor<float>(model.input(),
[all...] |
| floor_test.cc | 20 #include "tensorflow/lite/model.h"
49 FloorOpModel model({2}, TensorType_FLOAT32);
50 model.PopulateTensor<float>(model.input(), {8.5, 0.0});
51 model.Invoke();
52 EXPECT_THAT(model.GetOutput(), ElementsAreArray({8, 0}));
53 EXPECT_THAT(model.GetOutputShape(), ElementsAreArray({2}));
57 FloorOpModel model({2, 1, 1, 5}, TensorType_FLOAT32);
58 model.PopulateTensor<float>(model.input(),
[all...] |
| unpack_test.cc | 20 #include "tensorflow/lite/model.h"
72 UnpackOpModel<float> model({TensorType_FLOAT32, {3, 2}}, 0);
73 model.SetInput({1, 2, 3, 4, 5, 6});
74 model.Invoke();
77 const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes();
84 const std::vector<std::vector<float>>& output_datas = model.GetOutputDatas();
92 UnpackOpModel<float> model({TensorType_FLOAT32, {3, 2}}, 1);
93 model.SetInput({1, 2, 3, 4, 5, 6});
94 model.Invoke();
97 const std::vector<std::vector<int>>& output_shapes = model.GetOutputShapes()
[all...] |
| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| resolve_constant_fill.cc | 18 #include "tensorflow/lite/toco/model.h"
25 bool ComputeFillArray(Model* model, FillOperator* op) {
26 const auto& val_array = model->GetArray(op->inputs[1]);
27 auto& output_array = model->GetArray(op->outputs[0]);
44 ::tensorflow::Status ResolveConstantFill::Run(Model* model,
48 const auto fill_it = model->operators.begin() + op_index;
58 auto& output_array = model->GetArray(op->outputs[0]);
69 const auto& val_array = model->GetArray(op->inputs[1])
[all...] |
| group_bidirectional_sequence_ops.cc | 24 #include "tensorflow/lite/toco/model.h"
31 Model* model, const Operator& op) {
33 model->operators.begin(), model->operators.end(),
37 bool MatchTwoUnpackOps(const Operator& op, const Model& model,
43 *fw_output = GetOpWithOutput(model, op.inputs[0]);
44 *bw_output = GetOpWithOutput(model, op.inputs[1]);
59 bool MatchDynamicBidirectionalSequenceOutputs(Operator* op, const Model& model
[all...] |
| resolve_reduce_attributes.cc | 21 #include "tensorflow/lite/toco/model.h"
28 bool ResolveAttributes(Model* model, T* op) {
34 if (!IsConstantParameterArray(*model, op->inputs[1])) return false;
36 const Array& indices_array = model->GetArray(op->inputs[1]);
47 ::tensorflow::Status ResolveReduceAttributes::Run(Model* model,
51 Operator* op = model->operators[op_index].get();
54 *modified = ResolveAttributes(model, static_cast<MeanOperator*>(op));
58 ResolveAttributes(model, static_cast<TensorFlowSumOperator*>(op))
[all...] |
| make_initial_dequantize_operator.cc | 22 #include "tensorflow/lite/toco/model.h"
36 Model* model) {
41 if (GetOpWithOutput(*model, input_name)) {
49 if (CountOpsWithInput(*model, input_name) > 1) {
50 if (op != GetFirstOpWithInput(*model, input_name)) {
55 auto& input_array = model->GetArray(input_name);
66 AvailableArrayName(*model, input_name + "_dequantized");
67 for (auto& other_op : model->operators) {
76 model->GetOrCreateArray(dequantized_input_name)
[all...] |
| remove_trivial_passthrough.cc | 21 #include "tensorflow/lite/toco/model.h"
31 // appear there, and not e.g. in model flags).
32 void Reroute(const string& from, const string& to, Model* model) {
33 for (const auto& op : model->operators) {
45 const Array& from_array = model->GetArray(from);
46 Array& to_array = model->GetOrCreateArray(to);
65 Model* model, std::size_t op_index,
67 const auto passthru_it = model->operators.begin() + op_index
[all...] |
| identify_lstm_merge_inputs.cc | 23 #include "tensorflow/lite/toco/model.h"
28 ::tensorflow::Status MergeLstmCellInputs::Run(Model* model,
33 auto op_it = model->operators.begin() + op_index;
47 // using the rnn_states in the model flag.
49 if (!GetMatchingRnnArray(model, src_op->outputs[kOutputTensor],
54 if (!GetMatchingRnnArray(model, src_op->outputs[kCellStateTensor],
60 int num_cell = model->GetArray(src_op->inputs[kInputToInputWeightsTensor])
63 int num_input = model->GetArray(src_op->inputs[kInputToInputWeightsTensor])
67 model->GetArray(src_op->inputs[kRecurrentToInputWeightsTensor]
[all...] |
| merge_reshape_into_preceding_transpose.cc | 23 #include "tensorflow/lite/toco/model.h"
32 bool OperatorReady(const Model& model, const Operator* op) {
33 if (!model.HasArray(op->inputs[0]) || !model.HasArray(op->inputs[1]) ||
34 !model.HasArray(op->outputs[0])) {
39 if (!model.GetArray(op->inputs[0]).has_shape() ||
40 !model.GetArray(op->outputs[0]).has_shape()) {
45 if (!model.GetArray(op->inputs[1]).buffer) {
54 std::vector<int32> ReshapeToTranspose(const Model& model
[all...] |
| hardcode_min_max.cc | 21 #include "tensorflow/lite/toco/model.h"
29 bool HardcodeMinMaxForIm2colArray(Model* model, Operator* op) {
33 auto& im2col_array = model->GetArray(op->outputs[1]);
37 const auto& input_array = model->GetArray(op->inputs[0]);
49 bool HardcodeMinMaxForL2Normalization(Model* model, Operator* op) {
50 auto& output_array = model->GetArray(op->outputs[0]);
54 const auto& input_array = model->GetArray(op->inputs[0]);
66 bool HardcodeInputMinMaxFromOutput(Model* model, Operator* op)
[all...] |
| drop_fake_quant.cc | 22 #include "tensorflow/lite/toco/model.h"
28 ::tensorflow::Status DropFakeQuant::Run(Model* model, std::size_t op_index,
31 const auto fakequant_it = model->operators.begin() + op_index;
42 const auto& output_array = model->GetArray(fakequant_op->outputs[0]);
49 if (CountOpsWithInput(*model, fakequant_op->inputs[i]) == 1) {
50 model->EraseArray(fakequant_op->inputs[i]);
55 *modified = RemoveTrivialPassthroughOp(this, model, op_index);
|
| /external/tensorflow/tensorflow/python/keras/ |
| models.py | 16 """Code for model cloning, plus model-related API entries.
40 Model = training.Model # pylint: disable=invalid-name
53 def _clone_functional_model(model, input_tensors=None, share_weights=False):
54 """Clone a functional `Model` instance.
56 Model cloning is similar to calling a model on new inputs,
61 model: Instance of `Model`
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| /external/ImageMagick/PerlMagick/demo/ |
| demo.pl | 8 # Read model & smile image.
16 $model=Image::Magick->new();
17 $x=$model->ReadImage('model.gif');
19 $model->Label('Magick');
20 $model->Set(background=>'white');
34 $example=$model->Clone();
40 $example=$model->Clone();
46 $example=$model->Clone();
52 $example=$model->Clone()
[all...] |
| /external/tensorflow/tensorflow/lite/toco/ |
| tooling_util.h | 32 #include "tensorflow/lite/toco/model.h"
61 // Returns true if the given array is specified as a model input array.
62 bool IsInputArray(const Model& model, const string& array_name);
63 // Returns true if the given array is specified as a model output array.
64 bool IsOutputArray(const Model& model, const string& array_name);
66 bool IsArrayConsumed(const Model& model, const string& name);
67 int CountTrueOutputs(const Model& model, const Operator& op)
[all...] |
| toco_tooling.h | 21 #include "tensorflow/lite/toco/model.h"
27 // Imports the input file into a Model object.
28 std::unique_ptr<Model> Import(const TocoFlags& toco_flags,
32 // Transforms a Model. The resulting Model is ready to be passed
35 Model* model);
36 inline void Transform(const TocoFlags& toco_flags, Model* model) {
37 auto s = TransformWithStatus(toco_flags, model);
[all...] |
| /external/glide/library/src/main/java/com/bumptech/glide/load/model/ |
| StringLoader.java | 1 package com.bumptech.glide.load.model;
10 * A model loader for handling certain string models. Handles paths, urls, and any uri string with a scheme handled by
23 public DataFetcher<T> getResourceFetcher(String model, int width, int height) {
25 if (model.startsWith("/")) {
26 uri = toFileUri(model);
28 uri = Uri.parse(model);
31 uri = toFileUri(model);
|
| /external/libtextclassifier/annotator/ |
| zlib-utils.cc | 28 // Compress rule fields in the model.
29 bool CompressModel(ModelT* model) {
32 TC3_LOG(ERROR) << "Cannot compress model.";
37 if (model->regex_model != nullptr) {
38 for (int i = 0; i < model->regex_model->patterns.size(); i++) {
39 RegexModel_::PatternT* pattern = model->regex_model->patterns[i].get();
48 if (model->datetime_model != nullptr) {
49 for (int i = 0; i < model->datetime_model->patterns.size(); i++) {
50 DatetimeModelPatternT* pattern = model->datetime_model->patterns[i].get();
59 for (int i = 0; i < model->datetime_model->extractors.size(); i++)
[all...] |
| /external/clang/utils/ |
| modfuzz.py | 22 def valid(self, model):
24 if i not in model.decls:
27 if i in model.decls:
31 def apply(self, model, name):
33 model.decls[i] = True
34 model.source += self.text % {'name': name}
90 model = CodeModel()
94 for d in mutations(model):
95 d(model)
97 if not model.fails()
[all...] |
| /cts/tests/openglperf2/jni/graphics/ |
| ProgramNode.h | 25 void drawProgram(Matrix& model, Matrix& view, Matrix& projection);
27 virtual void before(Program& program, Matrix& model, Matrix& view, Matrix& projection);
28 virtual void after(Program& program, Matrix& model, Matrix& view, Matrix& projection);
|
| SceneGraphNode.h | 27 virtual void before(Program& program, Matrix& model, Matrix& view, Matrix& projection) = 0;
28 virtual void after(Program& program, Matrix& model, Matrix& view, Matrix& projection) = 0;
29 void draw(Program& program, Matrix& model, Matrix& view, Matrix& projection);
|
