| /external/Microsoft-GSL/tests/ |
| bounds_tests.cpp | 85 static_bounds<dynamic_range> b5; variable
88 b5 = static_bounds<20>();
89 CHECK_THROWS_AS(b6 = b5, fail_fast);
90 b5 = static_bounds<34>();
91 b6 = b5;
93 CHECK(b5 == b6);
94 CHECK(b5.size() == b6.size());
|
| /external/clang/test/CXX/expr/expr.unary/expr.unary.op/ |
| p6.cpp | 15 bool b5 = !F; variable
|
| /external/valgrind/none/tests/s390x/ |
| icm.c | 27 char *b5="\x00\x00\xff\x00"; local
88 test(b5,208);
|
| /external/libvpx/libvpx/vpx_dsp/ppc/ |
| transpose_vsx.h | 40 int16x8_t b0, b1, b2, b3, b4, b5, b6, b7; local
48 b5 = vec_mergel(v[2], v[6]);
58 // b5: 24 64 25 65 26 66 27 67
64 c2 = vec_mergeh(b1, b5);
65 c3 = vec_mergel(b1, b5);
|
| /external/tensorflow/tensorflow/examples/android/jni/ |
| rgb2yuv.cc | 88 const int b5 = (rgb & 0x1F); local
94 const int b8 = b5 << 3 | b5 >> 2;
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| conv_1_h3_w2_SAME.model.cpp | 10 auto b5 = model->addOperand(&type0); local
21 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
|
| conv_1_h3_w2_SAME_relaxed.model.cpp | 10 auto b5 = model->addOperand(&type0); local
21 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
|
| conv_1_h3_w2_VALID.model.cpp | 10 auto b5 = model->addOperand(&type0); local
21 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
|
| conv_1_h3_w2_VALID_relaxed.model.cpp | 10 auto b5 = model->addOperand(&type0); local
21 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
|
| conv_3_h3_w2_SAME.model.cpp | 9 auto b5 = model->addOperand(&type0); local
20 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
29 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
|
| conv_3_h3_w2_SAME_relaxed.model.cpp | 9 auto b5 = model->addOperand(&type0); local
20 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
29 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
|
| conv_3_h3_w2_VALID.model.cpp | 10 auto b5 = model->addOperand(&type0); local
21 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
|
| conv_3_h3_w2_VALID_relaxed.model.cpp | 10 auto b5 = model->addOperand(&type0); local
21 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
|
| depthwise_conv.model.cpp | 9 auto b5 = model->addOperand(&type0); local
21 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
32 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3});
|
| depthwise_conv_relaxed.model.cpp | 9 auto b5 = model->addOperand(&type0); local
21 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
32 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3});
|
| /prebuilts/go/darwin-x86/src/cmd/compile/internal/gc/testdata/reproducible/ |
| issue20272.go | 24 b5 *****byte
23 b5 *****byte var
|
| /prebuilts/go/darwin-x86/test/ |
| initialize.go | 35 var b5 = &[16]byte { 1, 4: 1, 1, 1, 1, 12: 1, 1, } var
49 Same{ a5, b5 },
|
| /prebuilts/go/linux-x86/src/cmd/compile/internal/gc/testdata/reproducible/ |
| issue20272.go | 24 b5 *****byte
23 b5 *****byte var
|
| /prebuilts/go/linux-x86/test/ |
| initialize.go | 35 var b5 = &[16]byte { 1, 4: 1, 1, 1, 1, 12: 1, 1, } var
49 Same{ a5, b5 },
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/ode/nonstiff/ |
| HighamHall54StepInterpolator.java | 82 final double b5 = h * (-5.0/48.0 + theta2 * (-5.0/16.0 + theta * 5.0/12.0)); local
96 currentState[i] + b0 * yDot0 + b2 * yDot2 + b3 * yDot3 + b4 * yDot4 + b5 * yDot5;
|
| /external/clang/test/SemaCXX/ |
| user-defined-conversions.cpp | 68 Base b5 = ctfd; local
|
| /external/libvpx/libvpx/vpx_dsp/arm/ |
| hadamard_neon.c | 27 const int16x8_t b5 = vsubq_s16(*a4, *a5); local
36 const int16x8_t c5 = vaddq_s16(b5, b7);
38 const int16x8_t c7 = vsubq_s16(b5, b7);
|
| /external/skia/tests/ |
| skbug6653.cpp | 80 // clear color). Regardless, b5 will contain the oval that was just drawn, so diffing the
83 SkBitmap b5 = read_pixels(s4); local
89 uint32_t pixelB = *b5.getAddr32(x, y);
|
| /external/skqp/tests/ |
| skbug6653.cpp | 80 // clear color). Regardless, b5 will contain the oval that was just drawn, so diffing the
83 SkBitmap b5 = read_pixels(s4); local
89 uint32_t pixelB = *b5.getAddr32(x, y);
|
| /external/testng/src/test/java/test/thread/ |
| MultiThreadedDependentSampleTest.java | 78 public void b5() { method in class:MultiThreadedDependentSampleTest
80 log("b5");
|
