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/frameworks/ml/nn/runtime/test/generated/models/
Dconv_1_h3_w2_VALID_relaxed.model.cpp16 auto b7 = model->addOperand(&type0); in CreateModel() local
30 model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
59 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
73 model->setOperandValue(b7, b7_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()
102 auto b7 = model->addOperand(&type0); in CreateModel_2() local
116 model->setOperandValue(b7, b7_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()
145 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_3_h3_w2_SAME_relaxed.model.cpp15 auto b7 = model->addOperand(&type0); in CreateModel() local
29 model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1); in CreateModel()
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
58 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
72 model->setOperandValue(b7, b7_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()
100 auto b7 = model->addOperand(&type0); in CreateModel_2() local
114 model->setOperandValue(b7, b7_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()
143 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_1_h3_w2_VALID.model.cpp16 auto b7 = model->addOperand(&type0); in CreateModel() local
30 model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
57 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
71 model->setOperandValue(b7, b7_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()
98 auto b7 = model->addOperand(&type0); in CreateModel_2() local
112 model->setOperandValue(b7, b7_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()
139 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_1_h3_w2_SAME.model.cpp16 auto b7 = model->addOperand(&type0); in CreateModel() local
30 model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
57 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
71 model->setOperandValue(b7, b7_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()
98 auto b7 = model->addOperand(&type0); in CreateModel_2() local
112 model->setOperandValue(b7, b7_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()
139 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_1_h3_w2_SAME_relaxed.model.cpp16 auto b7 = model->addOperand(&type0); in CreateModel() local
30 model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
59 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
73 model->setOperandValue(b7, b7_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()
102 auto b7 = model->addOperand(&type0); in CreateModel_2() local
116 model->setOperandValue(b7, b7_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()
145 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_3_h3_w2_VALID_relaxed.model.cpp16 auto b7 = model->addOperand(&type0); in CreateModel() local
30 model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
59 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
73 model->setOperandValue(b7, b7_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()
102 auto b7 = model->addOperand(&type0); in CreateModel_2() local
116 model->setOperandValue(b7, b7_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()
145 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_3_h3_w2_SAME.model.cpp15 auto b7 = model->addOperand(&type0); in CreateModel() local
29 model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1); in CreateModel()
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
56 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
70 model->setOperandValue(b7, b7_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()
96 auto b7 = model->addOperand(&type0); in CreateModel_2() local
110 model->setOperandValue(b7, b7_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()
137 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Dconv_3_h3_w2_VALID.model.cpp16 auto b7 = model->addOperand(&type0); in CreateModel() local
30 model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
57 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
71 model->setOperandValue(b7, b7_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()
98 auto b7 = model->addOperand(&type0); in CreateModel_2() local
112 model->setOperandValue(b7, b7_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()
139 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Ddepthwise_conv_relaxed.model.cpp15 auto b7 = model->addOperand(&type0); in CreateModel() local
30 model->setOperandValue(b7, b7_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()
61 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
76 model->setOperandValue(b7, b7_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()
106 auto b7 = model->addOperand(&type0); in CreateModel_2() local
121 model->setOperandValue(b7, b7_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()
152 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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Ddepthwise_conv.model.cpp15 auto b7 = model->addOperand(&type0); in CreateModel() local
30 model->setOperandValue(b7, b7_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()
59 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
74 model->setOperandValue(b7, b7_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()
102 auto b7 = model->addOperand(&type0); in CreateModel_2() local
117 model->setOperandValue(b7, b7_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()
146 auto b7 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
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/frameworks/base/services/tests/servicestests/assets/KeyStoreRecoveryControllerTest/pem/
Dvalid-cert.pem10 v7K7YS573hN3TQY/+nkLfFy/oF2LQRYvKHF+Nv0BHzQLzqDEYBaILcMf3i2Ce/b7
73 36:0e:b7:54:89:f1:e8:8c:1c:05:99:e3:16:5b:08:
95 b7:2e:99:b2:de:0b:ca:1e:9a:3c:c1:dc:a5:3c:06:
107 45:19:80:23:b7:d6:e1:e0:c4:3e:7c:60:09:45:2f:
131 22:1f:58:d7:2e:09:b7:ff:f1:32:e3:8f:70:3e:4f:
151 2e:a6:54:24:ae:c5:3d:d3:b7:6f:c2:40:cf:6f:8a:d6:64:1e:
192 e0:c5:80:9d:5a:b8:5a:19:f7:37:b7:aa:10:d9:83:be:99:72:
202 f8:b7:e9:44:7e:37:1f:25:e3:3f:51:c3:65:86:60:13:70:c1:
Dinvalid-cert-1-no-begin-end.pem9 v7K7YS573hN3TQY/+nkLfFy/oF2LQRYvKHF+Nv0BHzQLzqDEYBaILcMf3i2Ce/b7
Dinvalid-cert-3-invalid-key.pem9 v7K7YS573hN3TQY/+nkLfFy/oF2LQRYvKHF+Nv0BHzQLzqDEYBaILcMf3i2Ce/b7
Dvalid-cert-multiple-blocks.pem10 v7K7YS573hN3TQY/+nkLfFy/oF2LQRYvKHF+Nv0BHzQLzqDEYBaILcMf3i2Ce/b7
/frameworks/ml/nn/runtime/test/specs/V1_2/
Dconv2d_v1_2.mod.py172 b7 = Parameter("op3", "TENSOR_FLOAT32", "{3}", [0., 0., 0.]) variable
175 model_3_same = Model("3_H3_W2_SAME").Operation("CONV_2D", i7, f7, b7, 1, 1, 1, 0, layout).To(o7)
176 model_3_valid = Model("3_H3_W2_VALID").Operation("CONV_2D", i7, f7, b7, 2, 1, 1, 0, layout).To(o8)
/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/javanano/src/main/java/com/google/protobuf/nano/
DCodedInputByteBufferNano.java355 final byte b7 = readRawByte(); in readRawLittleEndian64()
363 (((long)b7 & 0xff) << 48) | in readRawLittleEndian64()
/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/csharp/src/Google.Protobuf/
DCodedInputStream.cs885 ulong b7 = ReadRawByte(); in ReadRawLittleEndian64()
888 | (b5 << 32) | (b6 << 40) | (b7 << 48) | (b8 << 56); in ReadRawLittleEndian64()