Searched defs:model (Results 1 - 25 of 418) sorted by relevance

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/external/caliper/caliper/src/main/java/com/google/caliper/model/
H A Dpackage-info.java18 * These classes model the data that is collected by the caliper {@linkplain
25 package com.google.caliper.model
H A DAllocationMeasurement.java17 package com.google.caliper.model;
H A DArbitraryMeasurement.java17 package com.google.caliper.model;
H A DExcludeFromJson.java17 package com.google.caliper.model;
H A DDefaults.java17 package com.google.caliper.model;
24 * Default instances of non-model classes used by the Caliper model. These are present to facilitate
H A DPersistentHashing.java17 package com.google.caliper.model;
/external/glide/library/src/main/java/com/bumptech/glide/load/model/
H A DModelLoader.java1 package com.bumptech.glide.load.model;
6 * A factory interface for translating an arbitrarily complex data model into a concrete data type that can be used
7 * by an {@link DataFetcher} to obtain the data for a resource represented by the model.
11 * 1. To translate a specific model into a data type that can be decoded into a resource.
13 * 2. To allow a model to be combined with the dimensions of the view to fetch a resource of a specific size.
23 * @param <T> The type of the model.
30 * Obtains an {@link DataFetcher} that can fetch the data required to decode the resource represented by this model.
34 * Note - If no valid data fetcher can be returned (for example if a model has a null URL), then it is
39 * @param model The model representin
45 getResourceFetcher(T model, int width, int height) argument
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H A DFileLoader.java1 package com.bumptech.glide.load.model;
10 * A simple model loader for loading data from {@link File}s.
24 public DataFetcher<T> getResourceFetcher(File model, int width, int height) { argument
25 return uriLoader.getResourceFetcher(Uri.fromFile(model), width, height);
H A DResourceLoader.java1 package com.bumptech.glide.load.model;
11 * A model loader for handling Android resource files. Model must be an Android resource id in the package of the given
31 public DataFetcher<T> getResourceFetcher(Integer model, int width, int height) { argument
33 + resources.getResourcePackageName(model) + '/'
34 + resources.getResourceTypeName(model) + '/'
35 + resources.getResourceEntryName(model));
H A DStringLoader.java1 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) { argument
25 if (model.startsWith("/")) {
26 uri = toFileUri(model);
28 uri = Uri.parse(model);
31 uri = toFileUri(model);
H A DUrlLoader.java1 package com.bumptech.glide.load.model;
8 * A wrapper class that translates {@link java.net.URL} objects into {@link com.bumptech.glide.load.model.GlideUrl}
9 * objects and then uses the wrapped {@link com.bumptech.glide.load.model.ModelLoader} for
10 * {@link com.bumptech.glide.load.model.GlideUrl}s to load the data.
22 public DataFetcher<T> getResourceFetcher(URL model, int width, int height) { argument
23 return glideUrlLoader.getResourceFetcher(new GlideUrl(model), width, height);
/external/glide/library/src/main/java/com/bumptech/glide/load/model/file_descriptor/
H A DFileDescriptorModelLoader.java1 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/
H A DStreamModelLoader.java1 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/junit/src/main/java/org/junit/runners/model/
H A DStatement.java1 package org.junit.runners.model;
/external/libtextclassifier/
H A Dzlib-utils_test.cc28 ModelT model; local
29 model.regex_model.reset(new RegexModelT);
30 model.regex_model->patterns.emplace_back(new RegexModel_::PatternT);
31 model.regex_model->patterns.back()->pattern = "this is a test pattern";
32 model.regex_model->patterns.emplace_back(new RegexModel_::PatternT);
33 model.regex_model->patterns.back()->pattern = "this is a second test pattern";
35 model.datetime_model.reset(new DatetimeModelT);
36 model.datetime_model->patterns.emplace_back(new DatetimeModelPatternT);
37 model.datetime_model->patterns.back()->regexes.emplace_back(
39 model
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/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/
H A Ddrop_im2col_arrays.cc16 #include "tensorflow/contrib/lite/toco/model.h"
22 bool DropIm2colArrays::Run(Model* model, std::size_t op_index) { argument
23 auto conv_it = model->operators.begin() + op_index;
35 model->EraseArray(conv_op->outputs[1]);
H A Dremove_final_dequantize_op.cc21 #include "tensorflow/contrib/lite/toco/model.h"
28 bool RemoveFinalDequantizeOp::Run(Model* model, std::size_t op_index) { argument
29 const auto dequantize_it = model->operators.begin() + op_index;
37 // one of the model's output arrays, as some intermediate array
40 if (CountOpsWithInput(*model, output)) {
44 // If one of the model's output arrays was actually the Dequantize op's
46 for (int i = 0; i < model->flags.output_arrays_size(); i++) {
47 if (output == model->flags.output_arrays(i)) {
48 model->flags.set_output_arrays(i, dequantize_op->inputs[0]);
54 model
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H A Dremove_tensorflow_identity.cc22 #include "tensorflow/contrib/lite/toco/model.h"
28 bool RemoveTensorFlowIdentity::Run(Model* model, std::size_t op_index) { argument
29 const auto passthru_it = model->operators.begin() + op_index;
35 return RemoveTrivialPassthroughOp(this, model, op_index);
H A Dremove_trivial_concatenation.cc22 #include "tensorflow/contrib/lite/toco/model.h"
28 bool RemoveTrivialConcatenation::Run(Model* model, std::size_t op_index) { argument
29 const auto concat_it = model->operators.begin() + op_index;
37 return RemoveTrivialPassthroughOp(this, model, op_index);
H A Dremove_unused_op.cc21 #include "tensorflow/contrib/lite/toco/model.h"
28 bool RemoveUnusedOp::Run(Model* model, std::size_t op_index) { argument
29 const auto it = model->operators.begin() + op_index;
33 // the model. We allow specifying an arbitrary input_array,
36 CHECK(model->HasArray(output));
37 // If this output is provided as the model's input array,
39 if (IsInputArray(*model, output)) {
48 for (const auto& rnn_state : model->flags.rnn_states()) {
58 for (const string& output_array : model->flags.output_arrays()) {
63 for (const auto& rnn_state : model
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H A Dresolve_mean_attributes.cc21 #include "tensorflow/contrib/lite/toco/model.h"
27 bool ResolveMeanAttributes::Run(Model* model, std::size_t op_index) { argument
28 auto* mean_op = model->operators[op_index].get();
37 if (!IsConstantParameterArray(*model, op->inputs[1])) return false;
39 const auto& indices_array = model->GetArray(op->inputs[1]);
H A Dresolve_squeeze_attributes.cc22 #include "tensorflow/contrib/lite/toco/model.h"
28 bool ResolveSqueezeAttributes::Run(Model* model, std::size_t op_index) { argument
29 auto* squeeze_op = model->operators[op_index].get();
37 if (CountOpsWithInput(*model, squeeze_op->outputs[0]) == 1) {
38 const auto* next_op = GetOpWithInput(*model, squeeze_op->outputs[0]);
45 return RemoveTrivialPassthroughOp(this, model, op_index);
H A Dresolve_tensorflow_merge.cc21 #include "tensorflow/contrib/lite/toco/model.h"
27 bool ResolveTensorFlowMerge::Run(Model* model, std::size_t op_index) { argument
28 const auto merge_it = model->operators.begin() + op_index;
48 for (const auto& other_op : model->operators) {
58 model->EraseArray(merge_op->outputs[0]);
59 model->operators.erase(merge_it);
/external/tensorflow/tensorflow/contrib/lite/toco/
H A Dtoco_tooling.h21 #include "tensorflow/contrib/lite/toco/model.h"
34 void Transform(const TocoFlags& toco_flags, Model* model);
39 void Export(const TocoFlags& toco_flags, const Model& model,
43 inline void Export(const TocoFlags& toco_flags, const Model& model, argument
45 Export(toco_flags, model, true, output_file_contents);
/external/tensorflow/tensorflow/contrib/lite/tools/
H A Dgen_op_registration.cc19 #include "tensorflow/contrib/lite/model.h"
31 void ReadOpsFromModel(const ::tflite::Model* model, argument
34 if (!model) return;
35 auto opcodes = model->operator_codes();

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