| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | depthwise_conv2d_v1_2.mod.py | 88 f3 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}", [.25, 0, .25, 1, .25, 0, .25, 1]) variable
91 Model("large").Operation("DEPTHWISE_CONV_2D", i3, f3, b3, 0, 0, 0, 0, 1, 1, 1, 0, layout).To(o3)
96 f3: ("TENSOR_QUANT8_ASYMM", 0.125, 128),
102 …f3: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[0.125…
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| D | conv2d_dilation.mod.py | 124 f3 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [1, 2, 3, 4]) variable
127 Model().Operation("CONV_2D", i3, f3, b3, 1, 2, 2, 0, layout, 3, 3).To(o3)
132 f3: ("TENSOR_QUANT8_ASYMM", 0.125, 0),
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| D | depthwise_conv2d_per_channel.mod.py | 53 f3 = Parameter("op2", "TENSOR_QUANT8_SYMM_PER_CHANNEL", "{1, 2, 2, 4}", variable
58 Model("layout").Operation("DEPTHWISE_CONV_2D", i3, f3, b3, 0, 0, 0, 0, 1, 1, 2, 0, layout).To(o3)
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| D | conv2d_v1_2.mod.py | 77 f3 = Parameter("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}", [0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.… variable
80 Model("channel").Operation("CONV_2D", i3, f3, b3, 0, 0, 0, 0, 1, 1, 0, layout).To(o3)
85 f3: ("TENSOR_QUANT8_ASYMM", 0.5, 0),
91 …f3: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, …
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | depthwise_conv2d_quant8_signed.mod.py | 202 f3 = Parameter("op2", "TENSOR_QUANT8_SYMM_PER_CHANNEL", "{1, 2, 2, 4}", variable
207 Model("layout").Operation("DEPTHWISE_CONV_2D", i3, f3, b3, 0, 0, 0, 0, 1, 1, 2, 0, layout).To(o3)
444 f3 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}", [.25, 0, .25, 1, .25, 0, .25, 1]) variable
447 Model("large").Operation("DEPTHWISE_CONV_2D", i3, f3, b3, 0, 0, 0, 0, 1, 1, 1, 0, layout).To(o3)
452 f3: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.125, 0),
458 …f3: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[0.125…
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| D | conv2d_quant8_signed.mod.py | 124 f3 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [1, 2, 3, 4]) variable
127 Model().Operation("CONV_2D", i3, f3, b3, 1, 2, 2, 0, layout, 3, 3).To(o3)
132 f3: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.125, -128),
267 f3 = Parameter("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}", [0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.… variable
270 Model("channel").Operation("CONV_2D", i3, f3, b3, 0, 0, 0, 0, 1, 1, 0, layout).To(o3)
275 f3: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -128),
281 …f3: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, …
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| /packages/apps/Camera2/src/com/android/camera/async/ |
| D | Futures2.java | 133 final ListenableFuture<T3> f3,
139 futures[2] = f3;
166 final ListenableFuture<T3> f3,
168 return joinAll(f1, f2, f3, new ImmediateAsyncFunction3<>(fn));
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| /packages/modules/Bluetooth/system/embdrv/sbc/decoder/srce/ |
| D | synthesis-sbc.c | 528 int32_t f0, f1, f2, f3, f4, f7, f8, f9, f10; in cosineModulateSynth4() local
534 f3 = (in[1] + in[2]); in cosineModulateSynth4()
536 f4 = f1 - f3; in cosineModulateSynth4()
538 y0 = -SCALE(f1 + f3, DCT_SHIFT); in cosineModulateSynth4()
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| /packages/services/Car/tests/SampleCustomInputService/ |
| D | readme.md | 66 adb shell cmd car_service inject-custom-input f3
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| /packages/modules/Bluetooth/system/gd/crypto_toolbox/ |
| D | aes.cc | 84 #define f3(x) (f2(x) ^ (x)) macro
174 static const uint_8t gfm3_sbox[256] = sb_data(f3);
260 #define gfm3_sb(x) f3(s_box(x))
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| /packages/modules/Bluetooth/system/conf/ |
| D | interop_database.conf | 513 98:7b:f3 = Address_Based
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| /packages/modules/AdServices/adservices/tests/unittest/service-core/assets/classifier/ |
| D | precomputed_test_app_list.csv | 5512 cool.f3 10332
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| /packages/modules/AdServices/adservices/apk/assets/classifier/ |
| D | precomputed_app_list.csv | 5512 cool.f3 10332
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| /packages/apps/DocumentsUI/tests/res/raw/ |
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