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  /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;
  /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);
  /external/libcxx/test/std/re/re.iter/re.tokiter/re.tokiter.incr/
post.pass.cpp 27 std::cregex_token_iterator i2 = i; local
30 assert(i2 != std::cregex_token_iterator());
32 assert(i2->str() == "start ");
35 assert(i2 != std::cregex_token_iterator());
38 assert(i2->str() == "start ");
42 assert(i2 != std::cregex_token_iterator());
45 assert(i2->str() == "start ");
49 assert(i2 != std::cregex_token_iterator());
52 assert(i2->str() == "start ");
56 assert(i2 != std::cregex_token_iterator())
66 std::cregex_token_iterator i2 = i; local
    [all...]
  /frameworks/ml/nn/tools/test_generator/tests/P_explicit/
explicit_add.mod.py 2 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # output 0 variable
6 model = model.RawAdd(i0, i1).To(i2)
  /frameworks/ml/nn/tools/test_generator/tests/P_float/
addfloat.mod.py 3 i2 = Input("operand2","TENSOR_FLOAT32", "{3,4}") variable
7 Model().Add(i1, i2).Add(i3).Out(o)
  /frameworks/ml/nn/tools/test_generator/tests/P_vts_operands/
addfloat.mod.py 5 i2 = Input("operand2","TENSOR_FLOAT32", "{3,4}") variable
11 Model().Add(i1, i2).Add(i3).Out(o)
  /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);
  /prebuilts/ndk/r16/sources/cxx-stl/llvm-libc++/test/std/re/re.iter/re.tokiter/re.tokiter.incr/
post.pass.cpp 27 std::cregex_token_iterator i2 = i; local
30 assert(i2 != std::cregex_token_iterator());
32 assert(i2->str() == "start ");
35 assert(i2 != std::cregex_token_iterator());
38 assert(i2->str() == "start ");
42 assert(i2 != std::cregex_token_iterator());
45 assert(i2->str() == "start ");
49 assert(i2 != std::cregex_token_iterator());
52 assert(i2->str() == "start ");
56 assert(i2 != std::cregex_token_iterator())
66 std::cregex_token_iterator i2 = i; local
    [all...]
  /toolchain/binutils/binutils-2.27/gas/testsuite/gas/mmix/
bz-c.s 4 BZ $255,i2
5 i2 IS #ffff0000ffff0000 label
geta-c.s 4 GETA $255,i2
5 i2 IS #ffff0000ffff0000 label
jump-c.s 4 JMP i2
5 i2 IS #ffff0000ffff0000 label
pushj-c.s 4 PUSHJ $2,i2
5 i2 IS #ffff0000ffff0000 label
  /toolchain/binutils/binutils-2.27/gas/testsuite/gas/mt/
relocs2.s 4 .global i2
5 i2: label
  /external/clang/test/CodeGenCXX/
debug-info-indirect-field-decl.cpp 17 // CHECK: !DIDerivedType(tag: DW_TAG_member, name: "i2",
23 int i2; member in union:Bar::__anon16125
27 Foo<Bar, &Bar::i2> the_foo;
  /frameworks/ml/nn/runtime/test/specs/V1_0/
dequantize.mod.py 4 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
5 model = model.Operation("DEQUANTIZE", i1).To(i2)
11 output0 = {i2: # output 0
floor.mod.py 4 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
5 model = model.Operation("FLOOR", i1).To(i2)
12 output0 = {i2: # output 0
l2_normalization.mod.py 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 3}") variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2)
28 output0 = {i2: # output 0
l2_normalization_2.mod.py 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2)
28 output0 = {i2: # output 0
l2_normalization_large.mod.py 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 3}") variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2)
31 output0 = {i2: # output 0
relu1_float_1.mod.py 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
21 model = model.Operation("RELU1", i1).To(i2)
25 output0 = {i2: # output 0
relu6_float_1.mod.py 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
21 model = model.Operation("RELU6", i1).To(i2)
25 output0 = {i2: # output 0
relu_float_1.mod.py 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
21 model = model.Operation("RELU", i1).To(i2)
25 output0 = {i2: # output 0
tanh.mod.py 5 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
6 model = model.Operation("TANH", i1).To(i2)
12 output0 = {i2: # output 0
  /frameworks/ml/nn/runtime/test/specs/V1_1/
dequantize_relaxed.mod.py 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
21 model = model.Operation("DEQUANTIZE", i1).To(i2)
28 output0 = {i2: # output 0
floor_relaxed.mod.py 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
21 model = model.Operation("FLOOR", i1).To(i2)
29 output0 = {i2: # output 0

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