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/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
Davg_pool_quant8_signed.mod.py48 pad = 5 variable
52 padding = Int32Scalar("padding", pad)
54 output_row = (row + 2 * pad - flt + std) // std
55 output_col = (col + 2 * pad - flt + std) // std
85 pad = 0 variable
89 padding = Int32Scalar("padding", pad)
91 output_row = (row + 2 * pad - flt + std) // std
92 output_col = (col + 2 * pad - flt + std) // std
176 pad = 50 variable
177 output_row = (row + 2 * pad - flt + std) // std
[all …]
Dmax_pool_quant8_signed.mod.py45 pad = 0 variable
49 padding = Int32Scalar("padding", pad)
51 output_row = (row + 2 * pad - flt + std) // std
52 output_col = (col + 2 * pad - flt + std) // std
84 pad = 0 variable
88 padding = Int32Scalar("padding", pad)
90 output_row = (row + 2 * pad - flt + std) // std
91 output_col = (col + 2 * pad - flt + std) // std
158 pad = 0 variable
159 output_row = (row + 2 * pad - flt + std) // std
[all …]
/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
Davg_pool_v1_2.mod.py46 pad = 30 variable
47 output_row = (row + 2 * pad - flt + std) // std
48 output_col = (col + 2 * pad - flt + std) // std
52 Model().Operation("AVERAGE_POOL_2D", i2, pad, pad, pad, pad, std, std, flt, flt, 0, layout).To(o2)
74 pad = 0 variable
75 output_row = (row + 2 * pad - flt + std) // std
76 output_col = (col + 2 * pad - flt + std) // std
80 Model().Operation("AVERAGE_POOL_2D", i3, pad, pad, pad, pad, std, std, flt, flt, 0, layout).To(o3)
102 pad = 50 variable
103 output_row = (row + 2 * pad - flt + std) // std
[all …]
Dmax_pool_v1_2.mod.py44 pad = 0 variable
45 output_row = (row + 2 * pad - flt + std) // std
46 output_col = (col + 2 * pad - flt + std) // std
50 Model().Operation("MAX_POOL_2D", i2, pad, pad, pad, pad, std, std, flt, flt, 0, layout).To(o2)
72 pad = 0 variable
73 output_row = (row + 2 * pad - flt + std) // std
74 output_col = (col + 2 * pad - flt + std) // std
78 Model().Operation("MAX_POOL_2D", i3, pad, pad, pad, pad, std, std, flt, flt, 3, layout).To(o3)
/packages/apps/EmergencyInfo/src/com/android/emergency/
DCircleFramedDrawable.java97 final float pad = (mSize - inside) / 2f; in draw() local
99 mDstRect.set(pad, pad, mSize - pad, mSize - pad); in draw()
/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/
Davg_pool_float_4.mod.py29 pad = 50 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
Davg_pool_float_2.mod.py29 pad = 50 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
Davg_pool_quant8_3.mod.py29 pad = 0 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
Davg_pool_quant8_2.mod.py29 pad = 5 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
Davg_pool_float_3.mod.py29 pad = 0 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
Dmax_pool_quant8_3.mod.py29 pad = 0 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
Dmax_pool_float_3.mod.py29 pad = 0 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
Dmax_pool_quant8_2.mod.py29 pad = 0 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
Dmax_pool_float_2.mod.py29 pad = 0 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
Davg_pool_float_2_relaxed.mod.py31 pad = 30 variable
35 padding = Int32Scalar("padding", pad)
37 output_row = (row + 2 * pad - flt + std) // std
38 output_col = (col + 2 * pad - flt + std) // std
Davg_pool_float_4_relaxed.mod.py29 pad = 50 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
Davg_pool_float_3_relaxed.mod.py29 pad = 0 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
Dmax_pool_float_3_relaxed.mod.py29 pad = 0 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
Dmax_pool_float_2_relaxed.mod.py29 pad = 0 variable
33 padding = Int32Scalar("padding", pad)
35 output_row = (row + 2 * pad - flt + std) // std
36 output_col = (col + 2 * pad - flt + std) // std
/packages/modules/NeuralNetworks/runtime/test/generated/spec_V1_1/
Dpad.example.cpp7 namespace generated_tests::pad { namespace
64 namespace generated_tests::pad { namespace
155 namespace generated_tests::pad { namespace
212 namespace generated_tests::pad { namespace
/packages/modules/NeuralNetworks/tools/test_generator/tests/P_variation/
Dconv_float.mod.py22 pad = Int32Scalar("param", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad, stride0, stride1, act, layout).To(output)
/packages/modules/NeuralNetworks/tools/test_generator/tests/P_vts_variation/
Dconv_float.mod.py22 pad = Int32Scalar("param", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad, stride0, stride1, act, layout).To(output)
/packages/modules/NeuralNetworks/tools/test_generator/tests/P_naming/
Dconv_float.mod.py22 pad = Int32Scalar("param", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad, stride0, stride1, act, layout).To(output)
/packages/modules/NeuralNetworks/tools/test_generator/tests/P_vts_naming/
Dconv_float.mod.py22 pad = Int32Scalar("param", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad, stride0, stride1, act, layout).To(output)
/packages/modules/NetworkStack/common/netlinkclient/src/android/net/netlink/
DStructInetDiagReqV2.java58 @Nullable InetSocketAddress remote, int family, int pad, int extension, int state) in StructInetDiagReqV2() argument
68 mPad = (byte) pad; in StructInetDiagReqV2()

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