| /external/webrtc/talk/media/base/ |
| cpuid.cc | 50 // Detect CPU Family and Model
52 // 7:4 - Model
55 // 19:16 - Extended Model
57 libyuv::CpuId(1, 0, &cpu_info[0]); // Function 1: Family and Model
59 int model = ((cpu_info[0] >> 4) & 0x0f) | ((cpu_info[0] >> 12) & 0xf0); local
71 (family == 6 && (model == kAtom || model <= kCore2))) {
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| /frameworks/base/packages/PrintSpooler/src/com/android/printspooler/model/ |
| OpenDocumentCallback.java | 17 package com.android.printspooler.model;
|
| /frameworks/base/packages/SystemUI/shared/src/com/android/systemui/shared/recents/model/ |
| TaskFilter.java | 17 package com.android.systemui.shared.recents.model;
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| /frameworks/ml/nn/runtime/test/benchmark/libnnbenchmark/ |
| benchmark_jni.cpp | 51 BenchmarkModel* model = (BenchmarkModel *) _modelHandle; local
52 delete(model);
63 BenchmarkModel* model = (BenchmarkModel *) _modelHandle; local
68 return model->resizeInputTensors(std::move(shape));
79 BenchmarkModel* model = (BenchmarkModel *) _modelHandle; local
80 return model->runBenchmark(1, _useNNAPI);
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| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| avg_pool_float_1.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3) variable
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| avg_pool_float_5.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3) variable
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| avg_pool_quant8_1.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(o) variable
|
| avg_pool_quant8_4.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act2).To(o) variable
|
| avg_pool_quant8_5.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3) variable
|
| conv_float.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
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| conv_float_2.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output) variable
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| conv_float_channels.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_float_channels_weights_as_inputs.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_float_large.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_float_large_weights_as_inputs.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_float_weights_as_inputs.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
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| conv_quant8.mod.py | 18 model = Model() variable
30 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, variable
|
| conv_quant8_channels.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_channels_weights_as_inputs.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_large.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_large_weights_as_inputs.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_overflow.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_overflow_weights_as_inputs.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_weights_as_inputs.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| fully_connected_float.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
