Home
last modified time | relevance | path

Searched refs:b4 (Results 1 – 21 of 21) sorted by relevance

/frameworks/ml/nn/runtime/test/generated/models/
Dconv_3_h3_w2_VALID.model.cpp13 auto b4 = model->addOperand(&type0); in CreateModel() local
24 model->setOperandValue(b4, b4_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
54 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
65 model->setOperandValue(b4, b4_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()
95 auto b4 = model->addOperand(&type0); in CreateModel_2() local
106 model->setOperandValue(b4, b4_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()
136 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_1_h3_w2_SAME.model.cpp13 auto b4 = model->addOperand(&type0); in CreateModel() local
24 model->setOperandValue(b4, b4_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
54 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
65 model->setOperandValue(b4, b4_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()
95 auto b4 = model->addOperand(&type0); in CreateModel_2() local
106 model->setOperandValue(b4, b4_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()
136 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_1_h3_w2_VALID_relaxed.model.cpp13 auto b4 = model->addOperand(&type0); in CreateModel() local
24 model->setOperandValue(b4, b4_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 b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
67 model->setOperandValue(b4, b4_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()
99 auto b4 = model->addOperand(&type0); in CreateModel_2() local
110 model->setOperandValue(b4, b4_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()
142 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_1_h3_w2_SAME_relaxed.model.cpp13 auto b4 = model->addOperand(&type0); in CreateModel() local
24 model->setOperandValue(b4, b4_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 b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
67 model->setOperandValue(b4, b4_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()
99 auto b4 = model->addOperand(&type0); in CreateModel_2() local
110 model->setOperandValue(b4, b4_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()
142 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_3_h3_w2_SAME_relaxed.model.cpp12 auto b4 = model->addOperand(&type0); in CreateModel() local
23 model->setOperandValue(b4, b4_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 b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
66 model->setOperandValue(b4, b4_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()
97 auto b4 = model->addOperand(&type0); in CreateModel_2() local
108 model->setOperandValue(b4, b4_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()
140 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_1_h3_w2_VALID.model.cpp13 auto b4 = model->addOperand(&type0); in CreateModel() local
24 model->setOperandValue(b4, b4_init, sizeof(int32_t) * 1); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
54 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
65 model->setOperandValue(b4, b4_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()
95 auto b4 = model->addOperand(&type0); in CreateModel_2() local
106 model->setOperandValue(b4, b4_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()
136 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_3_h3_w2_SAME.model.cpp12 auto b4 = model->addOperand(&type0); in CreateModel() local
23 model->setOperandValue(b4, b4_init, sizeof(int32_t) * 1); in CreateModel()
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
53 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
64 model->setOperandValue(b4, b4_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()
93 auto b4 = model->addOperand(&type0); in CreateModel_2() local
104 model->setOperandValue(b4, b4_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()
134 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_3_h3_w2_VALID_relaxed.model.cpp13 auto b4 = model->addOperand(&type0); in CreateModel() local
24 model->setOperandValue(b4, b4_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 b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
67 model->setOperandValue(b4, b4_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()
99 auto b4 = model->addOperand(&type0); in CreateModel_2() local
110 model->setOperandValue(b4, b4_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()
142 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
[all …]
Ddepthwise_conv_relaxed.model.cpp12 auto b4 = model->addOperand(&type0); in CreateModel() local
24 model->setOperandValue(b4, b4_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 b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
70 model->setOperandValue(b4, b4_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()
103 auto b4 = model->addOperand(&type0); in CreateModel_2() local
115 model->setOperandValue(b4, b4_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()
149 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
[all …]
Ddepthwise_conv.model.cpp12 auto b4 = model->addOperand(&type0); in CreateModel() local
24 model->setOperandValue(b4, b4_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()
56 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
68 model->setOperandValue(b4, b4_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()
99 auto b4 = model->addOperand(&type0); in CreateModel_2() local
111 model->setOperandValue(b4, b4_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()
143 auto b4 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_2() local
[all …]
/frameworks/ml/nn/runtime/test/specs/V1_2/
Ddepthwise_conv2d_v1_2.mod.py117 b4 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [6000, 7000, 8000, 9000]) variable
119 Model("large").Operation("DEPTHWISE_CONV_2D", i4, f4, b4, 0, 0, 0, 0, 1, 1, 1, 0, layout).To(o4)
125 b4: ("TENSOR_INT32", 0.125, 0),
131 …b4: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, 1.0, 0.5, 0.5], …
142 }).AddNchw(i4, o4, layout).AddInput(f4, b4).AddVariations("relaxed", "float16", quant8, channelQuan…
Dconv2d_v1_2.mod.py106 b4 = Parameter("op3", "TENSOR_FLOAT32", "{3}", [0., 0., 0.]) variable
108 Model("large").Operation("CONV_2D", i4, f4, b4, 0, 0, 0, 0, 1, 1, 0, layout).To(o4)
114 b4: ("TENSOR_INT32", 0.25, 0),
120 …b4: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25, 0.5, 0.25], hid…
126 …b4: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, 1.0, 1.005], hid…
140 }).AddNchw(i4, o4, layout).AddInput(f4, b4).AddVariations("relaxed", quant8, channelQuant8, channel…
Dtranspose_conv2d.mod.py129 b4 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [0]) # bias variable
132 Model().Operation("TRANSPOSE_CONV_2D", i4, w4, b4, s4, 2, 1, 1, 0, layout).To(o4)
138 b4: ("TENSOR_INT32", 0.125, 0),
151 }).AddNchw(i4, o4, s4, layout).AddVariations("relaxed", quant8, "float16").AddInput(w4, b4)
/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/csharp/src/Google.Protobuf.Test/
DByteStringTest.cs47 ByteString b4 = ByteString.CopyFrom(1, 2, 3, 4); in Equality()
51 EqualityTester.AssertInequality(b1, b4); in Equality()
57 Assert.IsFalse(b1 == b4); in Equality()
64 Assert.IsTrue(b1 != b4); in Equality()
/frameworks/opt/telephony/src/java/com/google/android/mms/pdu/
DBase64.java75 byte b1 = 0, b2 = 0, b3 = 0, b4 = 0, marker0 = 0, marker1 = 0; in decodeBase64()
104 b4 = base64Alphabet[marker1]; in decodeBase64()
109 decodedData[encodedIndex + 2] = (byte) (b3 << 6 | b4); in decodeBase64()
/frameworks/base/services/tests/servicestests/assets/KeyStoreRecoveryControllerTest/pem/
Dvalid-cert.pem84 de:2d:82:7b:f6:fb:c1:98:e2:b4:ba:85:00:8d:6c:
99 63:33:53:e3:b4:19:77:d7:6b:c4:77:6b:2f:1b:4f:
113 1c:29:2b:b4:fa:7f:83:2e:24:13:8a:a6:77:f4:88:
115 df:89:1c:1a:0c:4e:bc:12:55:21:a3:47:a6:b4:e3:
118 f6:bf:7c:2e:25:20:a5:b4:c7:b4:a6:48:62:b2:67:
161 da:1d:79:41:02:fb:d4:b4:4a:23:26:b9:11:de:3f:9b:e7:3b:
172 4a:65:0e:f0:2f:b4:7a:8c:aa:e3:fc:6b:42:0d:ec:b5:5a:bd:
179 65:00:b4:08:5b:f0:20:a5:21:fd:24:a0:aa:a4:8b:5d:c5:f8:
180 ac:00:82:2c:f5:ef:17:1d:b5:49:24:0d:09:75:ee:eb:b4:08:
199 6b:74:a0:1d:4c:0e:27:82:70:59:9f:31:90:ff:cc:e0:b4:ff:
[all …]
/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/csharp/src/Google.Protobuf/
DCodedOutputStream.cs445 public void WriteRawTag(byte b1, byte b2, byte b3, byte b4) in WriteRawTag() argument
450 WriteRawByte(b4); in WriteRawTag()
461 public void WriteRawTag(byte b1, byte b2, byte b3, byte b4, byte b5) in WriteRawTag() argument
466 WriteRawByte(b4); in WriteRawTag()
DCodedInputStream.cs870 uint b4 = ReadRawByte(); in ReadRawLittleEndian32()
871 return b1 | (b2 << 8) | (b3 << 16) | (b4 << 24); in ReadRawLittleEndian32()
882 ulong b4 = ReadRawByte(); in ReadRawLittleEndian64()
887 return b1 | (b2 << 8) | (b3 << 16) | (b4 << 24) in ReadRawLittleEndian64()
/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/javanano/src/main/java/com/google/protobuf/nano/
DCodedInputByteBufferNano.java340 final byte b4 = readRawByte(); in readRawLittleEndian32()
344 ((b4 & 0xff) << 24); in readRawLittleEndian32()
352 final byte b4 = readRawByte(); in readRawLittleEndian64()
360 (((long)b4 & 0xff) << 24) | in readRawLittleEndian64()
/frameworks/base/tests/net/java/com/android/internal/util/
DBitUtilsTest.java129 static byte[] bytes(int b1, int b2, int b3, int b4) { in bytes() argument
130 return new byte[] {b(b1), b(b2), b(b3), b(b4)}; in bytes()
/frameworks/base/core/tests/coretests/src/android/app/servertransaction/
DTransactionParcelTests.java532 boolean b4, String[] strings) throws RemoteException { in dumpMemInfo() argument