/frameworks/ml/nn/tools/test_generator/tests/P_full/ |
H A D | addfloat.mod.py | 5 b0 = Int32Scalar("b0", 0) # an int32_t scalar bias variable 7 model = model.Operation("ADD", i1, i2, b0).To(i3)
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/frameworks/ml/nn/tools/test_generator/tests/P_vts_full/ |
H A D | vts_full.mod.py | 6 b0 = Int32Scalar("b0", 0) variable 10 model.Operation("ADD", i0, p0, b0).To(o)
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/frameworks/ml/nn/tools/test_generator/tests/P_weird/ |
H A D | weird_add.mod.py | 5 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)
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/frameworks/ml/nn/runtime/test/generated/models/ |
H A D | fully_connected_float.model.cpp | 10 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});
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H A D | fully_connected_float_2.model.cpp | 11 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});
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H A D | fully_connected_float_2_relaxed.model.cpp | 11 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});
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H A D | fully_connected_float_3.model.cpp | 11 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});
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H A D | fully_connected_float_4d_simple.model.cpp | 11 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});
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H A D | fully_connected_float_4d_simple_relaxed.model.cpp | 11 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});
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H A D | fully_connected_float_large.model.cpp | 10 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});
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H A D | fully_connected_float_large_relaxed.model.cpp | 10 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});
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H A D | fully_connected_float_large_weights_as_inputs.model.cpp | 10 auto b0 = model->addOperand(&type1); local 16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 19 {op1, op2, b0},
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H A D | fully_connected_float_large_weights_as_inputs_relaxed.model.cpp | 10 auto b0 = model->addOperand(&type1); local 16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 19 {op1, op2, b0},
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H A D | fully_connected_float_relaxed.model.cpp | 10 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});
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H A D | fully_connected_float_weights_as_inputs.model.cpp | 10 auto b0 = model->addOperand(&type2); local 16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 19 {op1, op2, b0},
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H A D | fully_connected_float_weights_as_inputs_relaxed.model.cpp | 10 auto b0 = model->addOperand(&type2); local 16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 19 {op1, op2, b0},
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H A D | fully_connected_quant8.model.cpp | 11 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});
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H A D | fully_connected_quant8_2.model.cpp | 11 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});
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H A D | fully_connected_quant8_large.model.cpp | 10 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});
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H A D | fully_connected_quant8_large_weights_as_inputs.model.cpp | 10 auto b0 = model->addOperand(&type1); local 16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 19 {op1, op2, b0},
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H A D | fully_connected_quant8_weights_as_inputs.model.cpp | 11 auto b0 = model->addOperand(&type2); local 17 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 20 {op1, op2, b0},
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/frameworks/native/opengl/libagl/ |
H A D | matrix.h | 110 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 D | dxt.cpp | 73 * 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 D | AudioBiquadFilter.cpp | 156 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);
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/frameworks/base/core/java/android/bluetooth/ |
H A D | BluetoothGattCharacteristic.java | 720 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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