| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| l2_normalization_relaxed.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 3}") variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2)
29 output0 = {i2: # output 0
|
| mul_relaxed.mod.py | 20 i2 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
23 model = model.Operation("MUL", i1, i2, act).To(i3)
29 i2: # input 1
|
| mul_relu_relaxed.mod.py | 20 i2 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
23 model = model.Operation("MUL", i1, i2, act).To(i3)
29 i2: # input 1
|
| relu1_float_1_relaxed.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
21 model = model.Operation("RELU1", i1).To(i2)
27 output0 = {i2: # output 0
|
| relu6_float_1_relaxed.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
21 model = model.Operation("RELU6", i1).To(i2)
27 output0 = {i2: # output 0
|
| relu_float_1_relaxed.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
21 model = model.Operation("RELU", i1).To(i2)
27 output0 = {i2: # output 0
|
| reshape_weights_as_inputs_relaxed.mod.py | 20 i2 = Input("op2", "TENSOR_INT32", "{1}") # another vector of 2 float32s variable
22 model = model.Operation("RESHAPE", i1, i2).To(i3)
30 i2: # input 1
|
| resize_bilinear_2_relaxed.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 3, 3, 2}") variable
23 model = model.Operation("RESIZE_BILINEAR", i1, h, w).To(i2)
29 output0 = {i2: # output 0
|
| resize_bilinear_relaxed.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable
23 model = model.Operation("RESIZE_BILINEAR", i1, h, w).To(i2)
29 output0 = {i2: # output 0
|
| sub.mod.py | 4 i2 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
7 model = model.Operation("SUB", i1, i2, act).To(i3)
12 i2: # input 1
|
| sub_broadcast_float.mod.py | 4 i2 = Input("op2", "TENSOR_FLOAT32", "{2, 2}") variable
7 model = model.Operation("SUB", i1, i2, act).To(i3)
12 i2: # input 1
|
| sub_broadcast_float_relaxed.mod.py | 20 i2 = Input("op2", "TENSOR_FLOAT32", "{2, 2}") variable
23 model = model.Operation("SUB", i1, i2, act).To(i3)
29 i2: # input 1
|
| sub_relaxed.mod.py | 20 i2 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
23 model = model.Operation("SUB", i1, i2, act).To(i3)
29 i2: # input 1
|
| tanh_relaxed.mod.py | 21 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
22 model = model.Operation("TANH", i1).To(i2)
29 output0 = {i2: # output 0
|
| /frameworks/ml/nn/tools/test_generator/tests/P_full/ |
| addfloat.mod.py | 4 i2 = Input("op2", "TENSOR_FLOAT32", "{2}") # another vector of 2 float32s variable
7 model = model.Operation("ADD", i1, i2, b0).To(i3)
12 i2: # input 1
|
| /external/libcxx/test/std/re/re.iter/re.tokiter/re.tokiter.comp/ |
| equal.pass.cpp | 30 std::cregex_token_iterator i2 = i; local
31 assert(i2 == i);
32 assert(!(i2 != i));
34 assert(!(i2 == i));
35 assert(i2 != i);
|
| /prebuilts/ndk/r16/sources/cxx-stl/llvm-libc++/test/std/re/re.iter/re.tokiter/re.tokiter.comp/ |
| equal.pass.cpp | 30 std::cregex_token_iterator i2 = i; local
31 assert(i2 == i);
32 assert(!(i2 != i));
34 assert(!(i2 == i));
35 assert(i2 != i);
|
| /external/avb/examples/uefi/ |
| uefi_avb_util.c | 33 uint32_t i2 = 0; local
36 if (i2 >= ucs2_data_capacity_num_bytes) {
44 ucs2_data[i2] = (uint16_t)((uint16_t)utf8_data[i8] << 12) |
49 ucs2_data[i2] = (uint16_t)(((uint16_t)utf8_data[i8] << 6) & 0x07C0) |
53 ucs2_data[i2] = (uint16_t)((uint16_t)utf8_data[i8] & 0x00FF);
59 i2++;
63 *out_ucs2_data_num_bytes = i2 * 2;
|
| /prebuilts/ndk/r16/sources/cxx-stl/llvm-libc++/test/std/iterators/stream.iterators/istream.iterator/istream.iterator.ops/ |
| equal.pass.cpp | 31 std::istream_iterator<int> i2(inf1);
36 assert(i1 == i2);
41 assert(i2 == i2);
42 assert(i2 != i3);
43 assert(i2 != i4);
44 assert(i2 != i5);
|
| /prebuilts/go/darwin-x86/test/interface/recursive1.dir/ |
| recursive2.go | 14 var i2 p.I2
15 i1 = i2
16 i2 = i1
17 i1 = i2.F()
18 i2 = i1.F()
19 _, _ = i1, i2
|
| /prebuilts/go/linux-x86/test/interface/recursive1.dir/ |
| recursive2.go | 14 var i2 p.I2
15 i1 = i2
16 i2 = i1
17 i1 = i2.F()
18 i2 = i1.F()
19 _, _ = i1, i2
|
| /external/clang/test/Parser/ |
| namelookup-bug-2.c | 9 struct Object { int i2; } *X; member in struct:Object
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| conv_1_h3_w2_SAME.mod.py | 6 i2 = Input("op2", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # input 0 variable
10 model = model.Conv(i2, i0, i1, i4, i5, i6, i7).To(i3)
12 input0 = {i2: [-0.869931, 0.644628, -0.918393, 0.153672, 0.868562, -0.358177, -0.134931, -0.247565, 0.22174, -0.259157, -0.284296, -0.538065, 0.765559, 0.41986, -0.556241, 0.658494, 0.214355, -0.850169, -0.252893, -0.478935, 0.530526, -0.0700663, -0.988729, -0.303061, 0.150845, 0.829915, 0.476349, 0.406537, -0.355343, 0.757145, -0.356362, 0.800482, -0.713861, 0.210483, -0.634303, 0.718236, -0.752038, 0.457547, -0.550769, -0.551178, 0.446766, -0.227462, 0.216348, -0.852806, -0.351486, 0.55906, -0.668493, -0.303493, -0.363763, -0.162837, 0.0701012, 0.756097, -0.142269, 0.329724, -0.656317, -0.998086, -0.652949, -0.40316, -0.893682, 0.432744, 0.612362, -0.869588, -0.71327, -0.398092, -0.0423559, 0.436576, -0.925272, 0.176549, 0.822904, 0.096833, -0.296802, -0.427195, 0.031654, -0.254479, 0.244905, 0.0948254, 0.643769, -0.90391, 0.352665, -0.901179, 0.266159, -0.968068, -0.615401, -0.388975, 0.939052, -0.116289, 0.107523, -0.0582711, 0.435172, 0.334675, 0.459711, 0.717436, 0.496627, -0.680175, -0.415066, 0.339848, 0.506004, -0.337808, -0.107218, -0.172496, 0.870638, 0.931872, -0.953884, 0.903042, 0.760078, 0.209727, -0.285384, -0.45514, 0.113194, 0.0756611, 0.0924435, -0.472863, 0.960609, -0.160385, -0.839445, 0.457097, 0.163348, 0.344867, -0.131619, 0.688715, -0.540827, 0.571259, -0.95587, 0.506164, -0.155839, 0.0789621, 0.756772, -0.662069, 0.242908, 0.460821, 0.177872, -0.289839, -0.640603, 0.702598, -0.506406, -0.568262, -0.0713716, 0.413792, 0.159673, -0.305208, 0.133816, -0.160254, 0.787323, -0.753244, 0.600721, 0.263186, -0.162387, 0.477962, -0.702951, -0.731036, -0.939481, -0.524519, 0.934072, -0.511637, -0.503499, 0.106236, -0.323684, 0.534444, -0.843745, 0.364171, 0.0370358, -0.168801, -0.404559, -0.814178, 0.91745, -0.334276, 0.66925, -0.801201, 0.156511, -0.427949, 0.379153, 0.818597, -0.649902, 0.427087, -0.586015, -0.559789, -0.833923, 0.0892409, -0.621251, 0.213826, 0.465509, 0.4704, 0.380261, 0.413067, 0.180822, 0.172866, 0.59614, 0.825575, 0.662916, -0.704381, -0.297631, 0.697778]}
16 input1 = {i2: [-0.295335, -0.00387601, -0.552251, 0.166084, -0.28482, -0.152143, -0.719885, -0.869386, -0.745598, 0.823947, 0.473183, -0.331337, 0.187631, 0.0426571, -0.826897, -0.755085, -0.472453, -0.0233656, 0.0483436, 0.933418, -0.961974, 0.0125783, 0.219742, 0.342604, -0.15166, 0.0934905, 0.783221, 0.129664, 0.838844, -0.271388, 0.924519, 0.342843, 0.274418, 0.350817, 0.841638, -0.543993, -0.00283395, -0.128467, -0.682943, -0.319117, 0.84634, 0.283003, 0.32865, 0.0293755, -0.0335696, 0.591266, -0.0743476, -0.741271, 0.462056, -0.583625, -0.590183, 0.6234, 0.535269, -0.670818, -0.955642, -0.770173, 0.479986, 0.664377, 0.399445, -0.968874, -0.276263, -0.901951, 0.544104, -0.958981, 0.482658, -0.807284, 0.305369, -0.947818, 0.827498, -0.382887, -0.805741, -0.796678, -0.299804, -0.229828, 0.818783, -0.103055, -0.45568, -0.227827, 0.543743, -0.96073, 0.946747, -0.857182, -0.96426, -0.292411, -0.715614, 0.765278, -0.475043, -0.590142, -0.238507, 0.673002, -0.473357, -0.319626, 0.936014, 0.486607, 0.580844, 0.425352, -0.800994, 0.290763, -0.494953, -0.441162, 0.718677, -0.828427, 0.96965, 7.53637e-05, -0.699973, -0.526886, -0.352682, 0.799466, 0.332789, 0.723389, 0.407659, -0.934084, -0.284705, 0.961484, -0.700395, -0.985808, -0.595342, -0.691721, 0.49448, -0.0842649, 0.0390966, 0.298938, -0.128094, -0.97158, 0.86393, 0.270606, -0.468986, -0.256605, 0.47215, -0.273117, -0.590343, -0.826529, -0.725381, -0.194821, -0.259661, -0.0949207, -0.180302, 0.0446834, -0.222133, -0.40393, 0.295772, -0.92949, 0.580079, -0.169856, 0.330311, 0.0173551, -0.635823, 0.475942, 0.907175, 0.242777, -0.512208, 0.362463, 0.0496289, 0.65171, 0.990057, 0.690733, -0.469013, -0.101311, -0.68372, -0.157841, -0.677711, -0.708224, -0.659437, -0.407607, 0.677033, 0.89032, 0.228307, -0.749514, 0.772958, 0.054701, 0.551705, 0.917052, -0.895022, -0.702397, 0.484142, 0.108648, 0.833347, 0.478872, -0.984112, 0.387176, -0.73299, 0.7526, 0.443312, -0.0987856, 0.125415, 0.10876, -0.498108, 0.43209, 0.344609, 0.928941, -0.130732, -0.0569167]}
|
| conv_1_h3_w2_VALID.mod.py | 6 i2 = Input("op2", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # input 0 variable
10 model = model.Conv(i2, i0, i1, i4, i5, i6, i7).To(i3)
12 input0 = {i2: [-0.869931, 0.644628, -0.918393, 0.153672, 0.868562, -0.358177, -0.134931, -0.247565, 0.22174, -0.259157, -0.284296, -0.538065, 0.765559, 0.41986, -0.556241, 0.658494, 0.214355, -0.850169, -0.252893, -0.478935, 0.530526, -0.0700663, -0.988729, -0.303061, 0.150845, 0.829915, 0.476349, 0.406537, -0.355343, 0.757145, -0.356362, 0.800482, -0.713861, 0.210483, -0.634303, 0.718236, -0.752038, 0.457547, -0.550769, -0.551178, 0.446766, -0.227462, 0.216348, -0.852806, -0.351486, 0.55906, -0.668493, -0.303493, -0.363763, -0.162837, 0.0701012, 0.756097, -0.142269, 0.329724, -0.656317, -0.998086, -0.652949, -0.40316, -0.893682, 0.432744, 0.612362, -0.869588, -0.71327, -0.398092, -0.0423559, 0.436576, -0.925272, 0.176549, 0.822904, 0.096833, -0.296802, -0.427195, 0.031654, -0.254479, 0.244905, 0.0948254, 0.643769, -0.90391, 0.352665, -0.901179, 0.266159, -0.968068, -0.615401, -0.388975, 0.939052, -0.116289, 0.107523, -0.0582711, 0.435172, 0.334675, 0.459711, 0.717436, 0.496627, -0.680175, -0.415066, 0.339848, 0.506004, -0.337808, -0.107218, -0.172496, 0.870638, 0.931872, -0.953884, 0.903042, 0.760078, 0.209727, -0.285384, -0.45514, 0.113194, 0.0756611, 0.0924435, -0.472863, 0.960609, -0.160385, -0.839445, 0.457097, 0.163348, 0.344867, -0.131619, 0.688715, -0.540827, 0.571259, -0.95587, 0.506164, -0.155839, 0.0789621, 0.756772, -0.662069, 0.242908, 0.460821, 0.177872, -0.289839, -0.640603, 0.702598, -0.506406, -0.568262, -0.0713716, 0.413792, 0.159673, -0.305208, 0.133816, -0.160254, 0.787323, -0.753244, 0.600721, 0.263186, -0.162387, 0.477962, -0.702951, -0.731036, -0.939481, -0.524519, 0.934072, -0.511637, -0.503499, 0.106236, -0.323684, 0.534444, -0.843745, 0.364171, 0.0370358, -0.168801, -0.404559, -0.814178, 0.91745, -0.334276, 0.66925, -0.801201, 0.156511, -0.427949, 0.379153, 0.818597, -0.649902, 0.427087, -0.586015, -0.559789, -0.833923, 0.0892409, -0.621251, 0.213826, 0.465509, 0.4704, 0.380261, 0.413067, 0.180822, 0.172866, 0.59614, 0.825575, 0.662916, -0.704381, -0.297631, 0.697778]}
16 input1 = {i2: [-0.295335, -0.00387601, -0.552251, 0.166084, -0.28482, -0.152143, -0.719885, -0.869386, -0.745598, 0.823947, 0.473183, -0.331337, 0.187631, 0.0426571, -0.826897, -0.755085, -0.472453, -0.0233656, 0.0483436, 0.933418, -0.961974, 0.0125783, 0.219742, 0.342604, -0.15166, 0.0934905, 0.783221, 0.129664, 0.838844, -0.271388, 0.924519, 0.342843, 0.274418, 0.350817, 0.841638, -0.543993, -0.00283395, -0.128467, -0.682943, -0.319117, 0.84634, 0.283003, 0.32865, 0.0293755, -0.0335696, 0.591266, -0.0743476, -0.741271, 0.462056, -0.583625, -0.590183, 0.6234, 0.535269, -0.670818, -0.955642, -0.770173, 0.479986, 0.664377, 0.399445, -0.968874, -0.276263, -0.901951, 0.544104, -0.958981, 0.482658, -0.807284, 0.305369, -0.947818, 0.827498, -0.382887, -0.805741, -0.796678, -0.299804, -0.229828, 0.818783, -0.103055, -0.45568, -0.227827, 0.543743, -0.96073, 0.946747, -0.857182, -0.96426, -0.292411, -0.715614, 0.765278, -0.475043, -0.590142, -0.238507, 0.673002, -0.473357, -0.319626, 0.936014, 0.486607, 0.580844, 0.425352, -0.800994, 0.290763, -0.494953, -0.441162, 0.718677, -0.828427, 0.96965, 7.53637e-05, -0.699973, -0.526886, -0.352682, 0.799466, 0.332789, 0.723389, 0.407659, -0.934084, -0.284705, 0.961484, -0.700395, -0.985808, -0.595342, -0.691721, 0.49448, -0.0842649, 0.0390966, 0.298938, -0.128094, -0.97158, 0.86393, 0.270606, -0.468986, -0.256605, 0.47215, -0.273117, -0.590343, -0.826529, -0.725381, -0.194821, -0.259661, -0.0949207, -0.180302, 0.0446834, -0.222133, -0.40393, 0.295772, -0.92949, 0.580079, -0.169856, 0.330311, 0.0173551, -0.635823, 0.475942, 0.907175, 0.242777, -0.512208, 0.362463, 0.0496289, 0.65171, 0.990057, 0.690733, -0.469013, -0.101311, -0.68372, -0.157841, -0.677711, -0.708224, -0.659437, -0.407607, 0.677033, 0.89032, 0.228307, -0.749514, 0.772958, 0.054701, 0.551705, 0.917052, -0.895022, -0.702397, 0.484142, 0.108648, 0.833347, 0.478872, -0.984112, 0.387176, -0.73299, 0.7526, 0.443312, -0.0987856, 0.125415, 0.10876, -0.498108, 0.43209, 0.344609, 0.928941, -0.130732, -0.0569167]}
|
| conv_3_h3_w2_SAME.mod.py | 6 i2 = Input("op2", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # input 0 variable
10 model = model.Conv(i2, i0, i1, i4, i5, i6, i7).To(i3)
12 input0 = {i2: [-0.869931, 0.644628, -0.918393, 0.153672, 0.868562, -0.358177, -0.134931, -0.247565, 0.22174, -0.259157, -0.284296, -0.538065, 0.765559, 0.41986, -0.556241, 0.658494, 0.214355, -0.850169, -0.252893, -0.478935, 0.530526, -0.0700663, -0.988729, -0.303061, 0.150845, 0.829915, 0.476349, 0.406537, -0.355343, 0.757145, -0.356362, 0.800482, -0.713861, 0.210483, -0.634303, 0.718236, -0.752038, 0.457547, -0.550769, -0.551178, 0.446766, -0.227462, 0.216348, -0.852806, -0.351486, 0.55906, -0.668493, -0.303493, -0.363763, -0.162837, 0.0701012, 0.756097, -0.142269, 0.329724, -0.656317, -0.998086, -0.652949, -0.40316, -0.893682, 0.432744, 0.612362, -0.869588, -0.71327, -0.398092, -0.0423559, 0.436576, -0.925272, 0.176549, 0.822904, 0.096833, -0.296802, -0.427195, 0.031654, -0.254479, 0.244905, 0.0948254, 0.643769, -0.90391, 0.352665, -0.901179, 0.266159, -0.968068, -0.615401, -0.388975, 0.939052, -0.116289, 0.107523, -0.0582711, 0.435172, 0.334675, 0.459711, 0.717436, 0.496627, -0.680175, -0.415066, 0.339848, 0.506004, -0.337808, -0.107218, -0.172496, 0.870638, 0.931872, -0.953884, 0.903042, 0.760078, 0.209727, -0.285384, -0.45514, 0.113194, 0.0756611, 0.0924435, -0.472863, 0.960609, -0.160385, -0.839445, 0.457097, 0.163348, 0.344867, -0.131619, 0.688715, -0.540827, 0.571259, -0.95587, 0.506164, -0.155839, 0.0789621, 0.756772, -0.662069, 0.242908, 0.460821, 0.177872, -0.289839, -0.640603, 0.702598, -0.506406, -0.568262, -0.0713716, 0.413792, 0.159673, -0.305208, 0.133816, -0.160254, 0.787323, -0.753244, 0.600721, 0.263186, -0.162387, 0.477962, -0.702951, -0.731036, -0.939481, -0.524519, 0.934072, -0.511637, -0.503499, 0.106236, -0.323684, 0.534444, -0.843745, 0.364171, 0.0370358, -0.168801, -0.404559, -0.814178, 0.91745, -0.334276, 0.66925, -0.801201, 0.156511, -0.427949, 0.379153, 0.818597, -0.649902, 0.427087, -0.586015, -0.559789, -0.833923, 0.0892409, -0.621251, 0.213826, 0.465509, 0.4704, 0.380261, 0.413067, 0.180822, 0.172866, 0.59614, 0.825575, 0.662916, -0.704381, -0.297631, 0.697778]}
16 input1 = {i2: [-0.295335, -0.00387601, -0.552251, 0.166084, -0.28482, -0.152143, -0.719885, -0.869386, -0.745598, 0.823947, 0.473183, -0.331337, 0.187631, 0.0426571, -0.826897, -0.755085, -0.472453, -0.0233656, 0.0483436, 0.933418, -0.961974, 0.0125783, 0.219742, 0.342604, -0.15166, 0.0934905, 0.783221, 0.129664, 0.838844, -0.271388, 0.924519, 0.342843, 0.274418, 0.350817, 0.841638, -0.543993, -0.00283395, -0.128467, -0.682943, -0.319117, 0.84634, 0.283003, 0.32865, 0.0293755, -0.0335696, 0.591266, -0.0743476, -0.741271, 0.462056, -0.583625, -0.590183, 0.6234, 0.535269, -0.670818, -0.955642, -0.770173, 0.479986, 0.664377, 0.399445, -0.968874, -0.276263, -0.901951, 0.544104, -0.958981, 0.482658, -0.807284, 0.305369, -0.947818, 0.827498, -0.382887, -0.805741, -0.796678, -0.299804, -0.229828, 0.818783, -0.103055, -0.45568, -0.227827, 0.543743, -0.96073, 0.946747, -0.857182, -0.96426, -0.292411, -0.715614, 0.765278, -0.475043, -0.590142, -0.238507, 0.673002, -0.473357, -0.319626, 0.936014, 0.486607, 0.580844, 0.425352, -0.800994, 0.290763, -0.494953, -0.441162, 0.718677, -0.828427, 0.96965, 7.53637e-05, -0.699973, -0.526886, -0.352682, 0.799466, 0.332789, 0.723389, 0.407659, -0.934084, -0.284705, 0.961484, -0.700395, -0.985808, -0.595342, -0.691721, 0.49448, -0.0842649, 0.0390966, 0.298938, -0.128094, -0.97158, 0.86393, 0.270606, -0.468986, -0.256605, 0.47215, -0.273117, -0.590343, -0.826529, -0.725381, -0.194821, -0.259661, -0.0949207, -0.180302, 0.0446834, -0.222133, -0.40393, 0.295772, -0.92949, 0.580079, -0.169856, 0.330311, 0.0173551, -0.635823, 0.475942, 0.907175, 0.242777, -0.512208, 0.362463, 0.0496289, 0.65171, 0.990057, 0.690733, -0.469013, -0.101311, -0.68372, -0.157841, -0.677711, -0.708224, -0.659437, -0.407607, 0.677033, 0.89032, 0.228307, -0.749514, 0.772958, 0.054701, 0.551705, 0.917052, -0.895022, -0.702397, 0.484142, 0.108648, 0.833347, 0.478872, -0.984112, 0.387176, -0.73299, 0.7526, 0.443312, -0.0987856, 0.125415, 0.10876, -0.498108, 0.43209, 0.344609, 0.928941, -0.130732, -0.0569167]}
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