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Searched refs:b6 (Results 1 – 14 of 14) sorted by relevance

/frameworks/ml/nn/runtime/test/generated/models/
Dconv_1_h3_w2_VALID_relaxed.model.cpp15 auto b6 = model->addOperand(&type0); in CreateModel() local
28 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
58 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
71 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
74 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
101 auto b6 = model->addOperand(&type0); in CreateModel_2() local
114 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_2()
117 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
144 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_3_h3_w2_SAME_relaxed.model.cpp14 auto b6 = model->addOperand(&type0); in CreateModel() local
27 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel()
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
57 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
70 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
73 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
99 auto b6 = model->addOperand(&type0); in CreateModel_2() local
112 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_2()
115 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
142 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_1_h3_w2_VALID.model.cpp15 auto b6 = model->addOperand(&type0); in CreateModel() local
28 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
56 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
69 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
72 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
97 auto b6 = model->addOperand(&type0); in CreateModel_2() local
110 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_2()
113 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
138 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_1_h3_w2_SAME.model.cpp15 auto b6 = model->addOperand(&type0); in CreateModel() local
28 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
56 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
69 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
72 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
97 auto b6 = model->addOperand(&type0); in CreateModel_2() local
110 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_2()
113 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
138 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_1_h3_w2_SAME_relaxed.model.cpp15 auto b6 = model->addOperand(&type0); in CreateModel() local
28 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
58 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
71 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
74 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
101 auto b6 = model->addOperand(&type0); in CreateModel_2() local
114 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_2()
117 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
144 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_3_h3_w2_VALID_relaxed.model.cpp15 auto b6 = model->addOperand(&type0); in CreateModel() local
28 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
58 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
71 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
74 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
101 auto b6 = model->addOperand(&type0); in CreateModel_2() local
114 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_2()
117 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
144 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_3_h3_w2_SAME.model.cpp14 auto b6 = model->addOperand(&type0); in CreateModel() local
27 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel()
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
55 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
68 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
71 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
95 auto b6 = model->addOperand(&type0); in CreateModel_2() local
108 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_2()
111 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
136 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_3_h3_w2_VALID.model.cpp15 auto b6 = model->addOperand(&type0); in CreateModel() local
28 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
56 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
69 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
72 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
97 auto b6 = model->addOperand(&type0); in CreateModel_2() local
110 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_2()
113 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
138 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Ddepthwise_conv_relaxed.model.cpp14 auto b6 = model->addOperand(&type0); in CreateModel() local
28 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel()
33 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel()
60 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
74 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
79 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel_dynamic_output_shape()
105 auto b6 = model->addOperand(&type0); in CreateModel_2() local
119 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_2()
124 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel_2()
151 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Ddepthwise_conv.model.cpp14 auto b6 = model->addOperand(&type0); in CreateModel() local
28 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel()
33 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel()
58 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
72 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
77 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel_dynamic_output_shape()
101 auto b6 = model->addOperand(&type0); in CreateModel_2() local
115 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); in CreateModel_2()
120 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel_2()
145 auto b6 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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/frameworks/base/services/tests/servicestests/assets/KeyStoreRecoveryControllerTest/pem/
Dvalid-cert.pem100 a2:2f:8c:7a:a9:06:80:27:72:17:20:59:3b:c1:b6:
103 0e:cb:a4:41:b6:ca:bd:32:a0:de:0c:4f:54:d3:7f:
105 b6:49:95:b2:aa:d7:9b:b6:0b:13:a0:6f:ce:6f:27:
157 30:60:6d:a7:78:36:2e:a6:7b:dc:2c:83:65:ae:52:58:72:b6:
/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/javanano/src/main/java/com/google/protobuf/nano/
DCodedInputByteBufferNano.java354 final byte b6 = readRawByte(); in readRawLittleEndian64()
362 (((long)b6 & 0xff) << 40) | in readRawLittleEndian64()
/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/csharp/src/Google.Protobuf/
DCodedInputStream.cs884 ulong b6 = ReadRawByte(); in ReadRawLittleEndian64()
888 | (b5 << 32) | (b6 << 40) | (b7 << 48) | (b8 << 56); in ReadRawLittleEndian64()
/frameworks/base/services/tests/servicestests/res/raw/
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