| /external/u-boot/arch/arm/dts/ |
| armada-371x.dtsi | 51 model = "Marvell Armada 3710 SoC";
|
| sun50i-a64-pine64-plus.dts | 46 model = "Pine64+";
|
| armada-8020.dtsi | 53 model = "Marvell Armada 8020";
|
| imx6q-display5.dts | 16 model = "Liebherr (LWN) display5 i.MX6 Quad Board";
|
| /external/tensorflow/tensorflow/lite/kernels/ |
| select_test.cc | 19 #include "tensorflow/lite/model.h"
60 SelectOpModel model({1, 1, 1, 4}, {1, 1, 1, 4}, {1, 1, 1, 4},
63 model.PopulateTensor<bool>(model.input1(), {true, false, true, false});
64 model.PopulateTensor<bool>(model.input2(), {false, false, false, false});
65 model.PopulateTensor<bool>(model.input3(), {true, true, true, true});
66 model.Invoke();
68 EXPECT_THAT(model.GetOutput<bool>()
[all...] |
| pack_test.cc | 19 #include "tensorflow/lite/model.h"
56 PackOpModel<float> model({TensorType_FLOAT32, {2}}, 0, 3);
57 model.SetInput(0, {1, 4});
58 model.SetInput(1, {2, 5});
59 model.SetInput(2, {3, 6});
60 model.Invoke();
61 EXPECT_THAT(model.GetOutputShape(), ElementsAre(3, 2));
62 EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 4, 2, 5, 3, 6}));
66 PackOpModel<float> model({TensorType_FLOAT32, {2}}, 1, 3);
67 model.SetInput(0, {1, 4})
[all...] |
| arg_min_max_test.cc | 19 #include "tensorflow/lite/model.h"
79 ArgMaxOpModel<int32_t> model({1, 1, 1, 4}, TensorType_FLOAT32,
81 model.PopulateTensor<float>(model.input(), {0.1, 0.9, 0.7, 0.3});
82 model.PopulateTensor<int>(model.axis(), {3});
83 model.Invoke();
85 EXPECT_THAT(model.GetOutput(), ElementsAreArray({1}));
86 EXPECT_THAT(model.GetOutputShape(), ElementsAreArray({1, 1, 1}));
90 ArgMaxOpModel<int32_t> model({1, 1, 1, 4}, TensorType_UINT8, TensorType_INT32
[all...] |
| mirror_pad_test.cc | 19 #include "tensorflow/lite/model.h"
53 BaseMirrorPadOpModel<int> model(
56 model.PopulateTensor<int>(model.input_tensor_id(), {1, 2, 3, 4, 5, 6});
57 model.PopulateTensor<int>(model.padding_matrix_tensor_id(), {0, 0, 0, 0});
58 model.Invoke();
59 EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 2, 3, 4, 5, 6}));
63 BaseMirrorPadOpModel<int> model(
66 model.PopulateTensor<int>(model.input_tensor_id(), {1, 2, 3, 4, 5, 6})
[all...] |
| range_test.cc | 19 #include "tensorflow/lite/model.h"
54 RangeOpModel<int32_t> model(TensorType_INT32);
55 model.PopulateTensor<int32_t>(model.start(), {0});
56 model.PopulateTensor<int32_t>(model.limit(), {4});
57 model.PopulateTensor<int32_t>(model.delta(), {1});
58 model.Invoke();
59 EXPECT_THAT(model.GetOutputShape(), ElementsAre(4))
[all...] |
| pow_test.cc | 19 #include "tensorflow/lite/model.h"
53 PowOpModel<int32_t> model({TensorType_INT32, {1, 2, 2, 1}},
56 model.PopulateTensor<int32_t>(model.input1(), {12, 2, 7, 8});
57 model.PopulateTensor<int32_t>(model.input2(), {1, 2, 3, 1});
58 model.Invoke();
59 EXPECT_THAT(model.GetOutputShape(), ElementsAre(1, 2, 2, 1));
60 EXPECT_THAT(model.GetOutput(), ElementsAre(12, 4, 343, 8));
64 PowOpModel<int32_t> model({TensorType_INT32, {1, 2, 2, 1}}
[all...] |
| floor_mod_test.cc | 19 #include "tensorflow/lite/model.h"
52 FloorModModel<int32_t> model({TensorType_INT32, {1, 2, 2, 1}},
55 model.PopulateTensor<int32_t>(model.input1(), {10, 9, 11, 3});
56 model.PopulateTensor<int32_t>(model.input2(), {2, 2, 3, 4});
57 model.Invoke();
58 EXPECT_THAT(model.GetOutputShape(), ElementsAre(1, 2, 2, 1));
59 EXPECT_THAT(model.GetOutput(), ElementsAre(0, 1, 2, 3));
63 FloorModModel<int32_t> model({TensorType_INT32, {1, 2, 2, 1}}
[all...] |
| comparisons_test.cc | 19 #include "tensorflow/lite/model.h"
96 ComparisonOpModel model({1, 1, 1, 4}, {1, 1, 1, 4}, TensorType_BOOL,
98 model.PopulateTensor<bool>(model.input1(), {true, false, true, false});
99 model.PopulateTensor<bool>(model.input2(), {true, true, false, false});
100 model.Invoke();
102 EXPECT_THAT(model.GetOutput(), ElementsAre(true, false, false, true));
103 EXPECT_THAT(model.GetOutputShape(), ElementsAre(1, 1, 1, 4));
107 ComparisonOpModel model({1, 1, 1, 4}, {1, 1, 1, 4}, TensorType_FLOAT32
[all...] |
| reverse_sequence_test.cc | 18 #include "tensorflow/lite/model.h"
56 ReverseSequenceOpModel<float> model({TensorType_FLOAT32, {4, 3, 2}},
58 model.PopulateTensor<float>(model.input(),
61 model.PopulateTensor<int32_t>(model.seq_lengths(), {3, 2, 3, 3});
62 model.Invoke();
63 EXPECT_THAT(model.GetOutputShape(), ElementsAre(4, 3, 2));
65 model.GetOutput(),
71 ReverseSequenceOpModel<float> model({TensorType_FLOAT32, {4, 3, 2}}
[all...] |
| reverse_test.cc | 18 #include "tensorflow/lite/model.h"
54 ReverseOpModel<float> model({TensorType_FLOAT32, {4}},
56 model.PopulateTensor<float>(model.input(), {1, 2, 3, 4});
57 model.PopulateTensor<int32_t>(model.axis(), {0});
58 model.Invoke();
60 EXPECT_THAT(model.GetOutputShape(), ElementsAre(4));
61 EXPECT_THAT(model.GetOutput(), ElementsAreArray({4, 3, 2, 1}));
65 ReverseOpModel<float> model({TensorType_FLOAT32, {4, 3, 2}}
[all...] |
| floor_div_test.cc | 19 #include "tensorflow/lite/model.h"
52 FloorDivModel<int32_t> model({TensorType_INT32, {1, 2, 2, 1}},
55 model.PopulateTensor<int32_t>(model.input1(), {10, 9, 11, 3});
56 model.PopulateTensor<int32_t>(model.input2(), {2, 2, 3, 4});
57 model.Invoke();
58 EXPECT_THAT(model.GetOutputShape(), ElementsAre(1, 2, 2, 1));
59 EXPECT_THAT(model.GetOutput(), ElementsAre(5, 4, 3, 0));
63 FloorDivModel<int32_t> model({TensorType_INT32, {1, 2, 2, 1}}
[all...] |
| /external/caliper/caliper/src/main/java/com/google/caliper/model/ |
| package-info.java | 18 * These classes model the data that is collected by the caliper {@linkplain
25 package com.google.caliper.model
|
| /external/deqp-deps/SPIRV-Tools/tools/comp/ |
| markv_model_factory.cpp | 24 std::unique_ptr<MarkvModel> model; local
27 model = MakeUnique<MarkvModelShaderLite>();
31 model = MakeUnique<MarkvModelShaderMid>();
35 model = MakeUnique<MarkvModelShaderMax>();
40 return model;
44 model->SetModelType(static_cast<uint32_t>(type));
46 return model;
|
| /external/swiftshader/third_party/SPIRV-Tools/tools/comp/ |
| markv_model_factory.cpp | 24 std::unique_ptr<MarkvModel> model; local
27 model = MakeUnique<MarkvModelShaderLite>();
31 model = MakeUnique<MarkvModelShaderMid>();
35 model = MakeUnique<MarkvModelShaderMax>();
40 return model;
44 model->SetModelType(static_cast<uint32_t>(type));
46 return model;
|
| /external/libtextclassifier/annotator/ |
| zlib-utils.h | 17 // Functions to compress and decompress low entropy entries in the model.
26 // Compresses regex and datetime rules in the model in place.
27 bool CompressModel(ModelT* model);
29 // Decompresses regex and datetime rules in the model in place.
30 bool DecompressModel(ModelT* model);
32 // Compresses regex and datetime rules in the model.
33 std::string CompressSerializedModel(const std::string& model);
|
| /external/adhd/alsa-module-config/ |
| alsa-auron.conf | 1 options snd_hda_intel model=auron patch=,auron_alsa.fw
|
| alsa-auron_paine.conf | 1 options snd_hda_intel model=auron_paine patch=,auron_paine_alsa.fw
|
| alsa-auron_yuna.conf | 1 options snd_hda_intel model=auron_yuna patch=,auron_yuna_alsa.fw
|
| alsa-cid.conf | 1 options snd_hda_intel model=cid patch=,cid_alsa.fw
|
| alsa-falco.conf | 1 options snd_hda_intel model=falco patch=,falco_alsa.fw
|
| alsa-gandof.conf | 1 options snd_hda_intel model=gandof patch=,gandof_alsa.fw
|
