| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| logistic_float_1.mod.py | 21 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
22 model = model.Operation("LOGISTIC", i1).To(i3)
28 output0 = {i3: # output 0
|
| logistic_quant8_1.mod.py | 21 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.00390625f, 0") variable
22 model = model.Operation("LOGISTIC", i1).To(i3)
28 output0 = {i3: # output 0
|
| add.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{2}") variable
7 model = model.Operation("ADD", i1, i2, act).To(i3)
15 output0 = {i3: # output 0
|
| add_broadcast_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0") variable
7 model = model.Operation("ADD", i1, i2, act).To(i3)
15 output0 = {i3: # output 0
|
| add_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2}, 1.0, 0") variable
7 model = model.Operation("ADD", i1, i2, act).To(i3)
15 output0 = {i3: # output 0
|
| avg_pool_float_5.mod.py | 23 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 1, 2, 1}") # output 0 variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
28 output0 = {i3: # output 0
|
| avg_pool_quant8_5.mod.py | 23 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{1, 1, 2, 1}, 0.0625f, 0") # output 0 variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
28 output0 = {i3: # output 0
|
| l2_pool_float_2.mod.py | 23 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 1, 2, 1}") # output 0 variable
24 model = model.Operation("L2_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
28 output0 = {i3: # output 0
|
| max_pool_float_4.mod.py | 23 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 1, 2, 1}") # output 0 variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
28 output0 = {i3: # output 0
|
| max_pool_quant8_4.mod.py | 23 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{1, 1, 2, 1}, 0.0625f, 0") # output 0 variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
28 output0 = {i3: # output 0
|
| mul.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
7 model = model.Operation("MUL", i1, i2, act).To(i3)
15 output0 = {i3: # output 0
|
| mul_broadcast_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2, 2}, 2.0, 0") variable
7 model = model.Operation("MUL", i1, i2, act).To(i3)
15 output0 = {i3: # output 0
|
| mul_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2}, 2.0, 0") variable
7 model = model.Operation("MUL", i1, i2, act).To(i3)
15 output0 = {i3: # output 0
|
| mul_relu.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
7 model = model.Operation("MUL", i1, i2, act).To(i3)
15 output0 = {i3: # output 0
|
| reshape.mod.py | 5 i3 = Output("op3", "TENSOR_FLOAT32", "{9}") variable
6 model = model.Operation("RESHAPE", i1, i2).To(i3)
14 output0 = {i3: # output 0
|
| reshape_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{9}, 1.f, 0") variable
7 model = model.Operation("RESHAPE", i1, i2).To(i3)
15 output0 = {i3: # output 0
|
| reshape_quant8_weights_as_inputs.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{9}, 1.f, 0") variable
7 model = model.Operation("RESHAPE", i1, i2).To(i3)
17 output0 = {i3: # output 0
|
| reshape_weights_as_inputs.mod.py | 5 i3 = Output("op3", "TENSOR_FLOAT32", "{9}") variable
6 model = model.Operation("RESHAPE", i1, i2).To(i3)
16 output0 = {i3: # output 0
|
| /external/libcxx/test/std/iterators/stream.iterators/istream.iterator/istream.iterator.ops/ |
| equal.pass.cpp | 32 std::istream_iterator<int> i3(inf2);
37 assert(i1 != i3);
42 assert(i2 != i3);
46 assert(i3 == i3);
47 assert(i3 != i4);
48 assert(i3 != i5);
54 assert(std::operator!=(i1, i3));
|
| /frameworks/ml/nn/tools/test_generator/tests/P_float/ |
| addfloat.mod.py | 4 i3 = Input("operand3","TENSOR_FLOAT32", "{3,4}") variable
7 Model().Add(i1, i2).Add(i3).Out(o)
|
| /external/libcxx/test/std/iterators/stream.iterators/istreambuf.iterator/istreambuf.iterator_op!=/ |
| not_equal.pass.cpp | 29 std::istreambuf_iterator<char> i3; local
35 assert( (i1 != i3));
41 assert( (i2 != i3));
45 assert( (i3 != i1));
46 assert( (i3 != i2));
47 assert(!(i3 != i3));
48 assert(!(i3 != i4));
49 assert(!(i3 != i5));
53 assert(!(i4 != i3));
68 std::istreambuf_iterator<wchar_t> i3; local
[all...] |
| /external/libcxx/test/std/iterators/stream.iterators/istreambuf.iterator/istreambuf.iterator_op==/ |
| equal.pass.cpp | 29 std::istreambuf_iterator<char> i3; local
35 assert(!(i1 == i3));
41 assert(!(i2 == i3));
45 assert(!(i3 == i1));
46 assert(!(i3 == i2));
47 assert( (i3 == i3));
48 assert( (i3 == i4));
49 assert( (i3 == i5));
53 assert( (i4 == i3));
68 std::istreambuf_iterator<wchar_t> i3; local
[all...] |
| /prebuilts/ndk/r16/sources/cxx-stl/llvm-libc++/test/std/iterators/stream.iterators/istreambuf.iterator/istreambuf.iterator_op!=/ |
| not_equal.pass.cpp | 29 std::istreambuf_iterator<char> i3; local
35 assert( (i1 != i3));
41 assert( (i2 != i3));
45 assert( (i3 != i1));
46 assert( (i3 != i2));
47 assert(!(i3 != i3));
48 assert(!(i3 != i4));
49 assert(!(i3 != i5));
53 assert(!(i4 != i3));
68 std::istreambuf_iterator<wchar_t> i3; local
[all...] |
| /prebuilts/ndk/r16/sources/cxx-stl/llvm-libc++/test/std/iterators/stream.iterators/istreambuf.iterator/istreambuf.iterator_op==/ |
| equal.pass.cpp | 29 std::istreambuf_iterator<char> i3; local
35 assert(!(i1 == i3));
41 assert(!(i2 == i3));
45 assert(!(i3 == i1));
46 assert(!(i3 == i2));
47 assert( (i3 == i3));
48 assert( (i3 == i4));
49 assert( (i3 == i5));
53 assert( (i4 == i3));
68 std::istreambuf_iterator<wchar_t> i3; local
[all...] |
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| add_relaxed.mod.py | 22 i3 = Output("op3", "TENSOR_FLOAT32", "{2}") variable
23 model = model.Operation("ADD", i1, i2, act).To(i3)
32 output0 = {i3: # output 0
|
