Searched defs:b0 (Results 1 - 25 of 26) sorted by relevance

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/frameworks/ml/nn/tools/test_generator/tests/P_full/
H A Daddfloat.mod.py5 b0 = Int32Scalar("b0", 0) # an int32_t scalar bias variable
7 model = model.Operation("ADD", i1, i2, b0).To(i3)
/frameworks/ml/nn/tools/test_generator/tests/P_vts_full/
H A Dvts_full.mod.py6 b0 = Int32Scalar("b0", 0) variable
10 model.Operation("ADD", i0, p0, b0).To(o)
/frameworks/ml/nn/tools/test_generator/tests/P_weird/
H A Dweird_add.mod.py5 b0 = Int32Scalar("b0", 0) # an int32_t scalar bias variable
10 model = model.Operation("ADD", i1, i2, b0).To(tmp)
11 model = model.Operation("ADD", tmp, i2, b0).To(tmp2)
12 model = model.Operation("ADD", tmp2, i4, b0).To(o3)
/frameworks/ml/nn/runtime/test/generated/models/
H A Dfully_connected_float.model.cpp10 auto b0 = model->addOperand(&type2); local
17 model->setOperandValue(b0, b0_init, sizeof(float) * 1);
20 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
H A Dfully_connected_float_2.model.cpp11 auto b0 = model->addOperand(&type2); local
18 model->setOperandValue(b0, b0_init, sizeof(float) * 16);
21 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {op3});
H A Dfully_connected_float_2_relaxed.model.cpp11 auto b0 = model->addOperand(&type2); local
18 model->setOperandValue(b0, b0_init, sizeof(float) * 16);
21 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {op3});
H A Dfully_connected_float_3.model.cpp11 auto b0 = model->addOperand(&type2); local
18 model->setOperandValue(b0, b0_init, sizeof(float) * 1);
21 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
H A Dfully_connected_float_4d_simple.model.cpp11 auto b0 = model->addOperand(&type2); local
18 model->setOperandValue(b0, b0_init, sizeof(float) * 3);
21 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
H A Dfully_connected_float_4d_simple_relaxed.model.cpp11 auto b0 = model->addOperand(&type2); local
18 model->setOperandValue(b0, b0_init, sizeof(float) * 3);
21 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
H A Dfully_connected_float_large.model.cpp10 auto b0 = model->addOperand(&type1); local
17 model->setOperandValue(b0, b0_init, sizeof(float) * 1);
20 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
H A Dfully_connected_float_large_relaxed.model.cpp10 auto b0 = model->addOperand(&type1); local
17 model->setOperandValue(b0, b0_init, sizeof(float) * 1);
20 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
H A Dfully_connected_float_large_weights_as_inputs.model.cpp10 auto b0 = model->addOperand(&type1); local
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 {op1, op2, b0},
H A Dfully_connected_float_large_weights_as_inputs_relaxed.model.cpp10 auto b0 = model->addOperand(&type1); local
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 {op1, op2, b0},
H A Dfully_connected_float_relaxed.model.cpp10 auto b0 = model->addOperand(&type2); local
17 model->setOperandValue(b0, b0_init, sizeof(float) * 1);
20 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
H A Dfully_connected_float_weights_as_inputs.model.cpp10 auto b0 = model->addOperand(&type2); local
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 {op1, op2, b0},
H A Dfully_connected_float_weights_as_inputs_relaxed.model.cpp10 auto b0 = model->addOperand(&type2); local
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 {op1, op2, b0},
H A Dfully_connected_quant8.model.cpp11 auto b0 = model->addOperand(&type2); local
18 model->setOperandValue(b0, b0_init, sizeof(int32_t) * 1);
21 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
H A Dfully_connected_quant8_2.model.cpp11 auto b0 = model->addOperand(&type2); local
18 model->setOperandValue(b0, b0_init, sizeof(int32_t) * 3);
21 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {op3});
H A Dfully_connected_quant8_large.model.cpp10 auto b0 = model->addOperand(&type1); local
17 model->setOperandValue(b0, b0_init, sizeof(int32_t) * 1);
20 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
H A Dfully_connected_quant8_large_weights_as_inputs.model.cpp10 auto b0 = model->addOperand(&type1); local
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 {op1, op2, b0},
H A Dfully_connected_quant8_weights_as_inputs.model.cpp11 auto b0 = model->addOperand(&type2); local
17 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
20 {op1, op2, b0},
/frameworks/native/opengl/libagl/
H A Dmatrix.h110 static inline GLfixed mla2a( GLfixed a0, GLfixed b0, argument
124 : "%r"(a0), "r"(b0),
133 return (( int64_t(a0)*b0 +
139 static inline GLfixed mla3a( GLfixed a0, GLfixed b0, argument
155 : "%r"(a0), "r"(b0),
168 "mult %[a0],%[b0] \r\n"
178 : [a0] "r" (a0),[b0] "r" (b0),[a1] "r" (a1),[b1] "r" (b1),[a2] "r" (a2),[b2] "r" (b2),[c] "r" (c)
185 return (( int64_t(a0)*b0 +
192 // b0, b
316 mla3( GLfixed a0, GLfixed b0, GLfixed a1, GLfixed b1, GLfixed a2, GLfixed b2) argument
347 mla4( GLfixed a0, GLfixed b0, GLfixed a1, GLfixed b1, GLfixed a2, GLfixed b2, GLfixed a3, GLfixed b3) argument
[all...]
H A Ddxt.cpp73 * r4r3r2 r1r0g5g4 g3g2g1g0 b4b3b2b1 b0 0 0 0 rgb << 3
82 * b4b3b2b1 b0------ (rgb << 3) & 0x0000f8
101 int b0 = (x >> 24) & 0xff; local
106 return (uint32_t)((b3 << 24) | (b2 << 16) | (b1 << 8) | b0);
167 // bits: b31 b30 b29 ... b3 b2 b1 b0
169 // &: b31 (b31 & b30) (b29 & b28) ... (b2 & b1) (b1 & b0)
170 // & 0x55..: 0 (b31 & b30) 0 ... 0 (b1 & b0)
237 int b0 = blue(color0); local
244 c[0] = (r0 << 11) | ((g0 >> 1) << 6) | (b0 << 1) | 0x1;
261 b2 = avg23(b0, b
367 int b0 = blue(color0); local
524 int b0 = blue(color0); local
[all...]
/frameworks/av/media/libeffects/testlibs/
H A DAudioBiquadFilter.cpp156 const audio_coef_t b0 = mCoefs[0]; local
164 acc = mul_coef_sample(b0, x0);
203 const audio_coef_t b0 = mCoefs[0]; local
217 acc = mul_coef_sample(b0, x0);
/frameworks/base/core/java/android/bluetooth/
H A DBluetoothGattCharacteristic.java720 private int unsignedBytesToInt(byte b0, byte b1) { argument
721 return (unsignedByteToInt(b0) + (unsignedByteToInt(b1) << 8));
727 private int unsignedBytesToInt(byte b0, byte b1, byte b2, byte b3) { argument
728 return (unsignedByteToInt(b0) + (unsignedByteToInt(b1) << 8))
735 private float bytesToFloat(byte b0, byte b1) { argument
736 int mantissa = unsignedToSigned(unsignedByteToInt(b0)
745 private float bytesToFloat(byte b0, byte b1, byte b2, byte b3) { argument
746 int mantissa = unsignedToSigned(unsignedByteToInt(b0)

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