/frameworks/ml/nn/runtime/test/generated/models/ |
D | depthwise_conv_relaxed.model.cpp | 16 auto b8 = model->addOperand(&type0); in CreateModel() local 32 model->setOperandValue(b8, b8_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() 62 auto b8 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local 78 model->setOperandValue(b8, b8_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() 107 auto b8 = model->addOperand(&type0); in CreateModel_2() local 123 model->setOperandValue(b8, b8_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() 153 auto b8 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local [all …]
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D | depthwise_conv.model.cpp | 16 auto b8 = model->addOperand(&type0); in CreateModel() local 32 model->setOperandValue(b8, b8_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 b8 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local 76 model->setOperandValue(b8, b8_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() 103 auto b8 = model->addOperand(&type0); in CreateModel_2() local 119 model->setOperandValue(b8, b8_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() 147 auto b8 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local [all …]
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/frameworks/ml/nn/runtime/test/specs/V1_2/ |
D | transpose_conv2d.mod.py | 268 b8 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [0]) # bias variable 271 Model().Operation("TRANSPOSE_CONV_2D", i8, w8, b8, s8, 1, 2, 2, 0, layout).To(o8) 277 b8: ("TENSOR_INT32", 0.25, 0), 284 }).AddNchw(i8, o8, s8, layout).AddVariations("relaxed", quant8, "float16").AddInput(w8, b8)
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/frameworks/base/services/tests/servicestests/assets/KeyStoreRecoveryControllerTest/pem/ |
D | valid-cert.pem | 71 b8:58:4a:b9:de:87:df:22:10:e2:e7:86:8a:a0:81: 119 6e:03:e7:6c:2f:62:70:fd:b8:da:4b:01:e3:26:93: 123 a1:3c:7d:39:3b:5f:b8:bf:39:a5:76:c2:83:16:ca: 164 9b:87:be:84:8b:1d:d2:fb:6b:93:b1:b8:f8:eb:69:e4:e0:4d: 167 2b:bf:35:41:9e:8c:fe:b1:b8:53:81:b3:c7:3d:c0:97:39:4a: 186 9d:df:b8:5d:9a:6c:27:99:08:1e:ec:02:1a:ed:33:0f:8d:a2: 192 e0:c5:80:9d:5a:b8:5a:19:f7:37:b7:aa:10:d9:83:be:99:72: 195 33:4c:ed:15:9f:07:b0:ec:a4:4b:77:32:e1:59:b8:a2:92:18:
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/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/javanano/src/main/java/com/google/protobuf/nano/ |
D | CodedInputByteBufferNano.java | 356 final byte b8 = readRawByte(); in readRawLittleEndian64() 364 (((long)b8 & 0xff) << 56); in readRawLittleEndian64()
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/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/csharp/src/Google.Protobuf/ |
D | CodedInputStream.cs | 886 ulong b8 = ReadRawByte(); in ReadRawLittleEndian64() 888 | (b5 << 32) | (b6 << 40) | (b7 << 48) | (b8 << 56); in ReadRawLittleEndian64()
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/frameworks/base/services/tests/servicestests/res/raw/ |
D | backup_telephony_with_password | 54 �g<zi]���1�X�b8��1u���F_��ږ�w�����d(�����II�������>5���NO�b�_'�,��\�2�?bA�c��7�����C�…
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