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/packages/apps/LegacyCamera/jni/feature_stab/db_vlvm/
Ddb_utilities_poly.h111 double b0,b1,b2; in db_MultiplyPoly0_2() local
113 b0=b[0];b1=b[1];b2=b[2]; in db_MultiplyPoly0_2()
117 d[2]=a0*b2; in db_MultiplyPoly0_2()
123 double b0,b1,b2; in db_MultiplyPoly1_2() local
125 b0=b[0];b1=b[1];b2=b[2]; in db_MultiplyPoly1_2()
129 d[2]=a0*b2+a1*b1; in db_MultiplyPoly1_2()
130 d[3]= a1*b2; in db_MultiplyPoly1_2()
137 double b0,b1,b2,b3; in db_MultiplyPoly1_3() local
139 b0=b[0];b1=b[1];b2=b[2];b3=b[3]; in db_MultiplyPoly1_3()
143 d[2]=a0*b2+a1*b1; in db_MultiplyPoly1_3()
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/packages/apps/Bluetooth/src/com/android/bluetooth/map/
DBluetoothMapUtils.java531 byte b2 = input[++in]; in quotedPrintableToUtf8()
532 if (b1 == '\r' && b2 == '\n') { in quotedPrintableToUtf8()
536 && b1 <= 'f')) && ((b2 >= '0' && b2 <= '9') || (b2 >= 'A' && b2 <= 'F') || ( in quotedPrintableToUtf8()
537 b2 >= 'a' && b2 <= 'f'))) { in quotedPrintableToUtf8()
539 Log.v(TAG, "Found hex number: " + String.format("%c%c", b1, b2)); in quotedPrintableToUtf8()
549 if (b2 <= '9') { in quotedPrintableToUtf8()
550 b2 = (byte) (b2 - '0'); in quotedPrintableToUtf8()
551 } else if (b2 <= 'F') { in quotedPrintableToUtf8()
552 b2 = (byte) (b2 - 'A' + 10); in quotedPrintableToUtf8()
553 } else if (b2 <= 'f') { in quotedPrintableToUtf8()
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/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
Ddepthwise_conv2d_dilation.mod.py49 b2 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [0,0,0,0]) variable
51 Model().Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 2, 0, layout, 2, 2).To(o2)
57 b2: ("TENSOR_INT32", 0.005, 0),
104 b2 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [0,0,0,0]) variable
106 Model().Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 2, 1, 1, 2, 0, layout, 2, 2).To(o2)
112 b2: ("TENSOR_INT32", 0.005, 0),
131 b2 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [0]) variable
133 Model().Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 1, 2, 2, 1, 0, layout, 3, 3).To(o2)
139 b2: ("TENSOR_INT32", 0.0625, 0),
Dconv2d_dilation.mod.py44 b2 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [0]) variable
46 Model().Operation("CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 0, layout, 3, 3).To(o2)
52 b2: ("TENSOR_INT32", 0.0625, 0),
95 b2 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [0]) variable
97 Model().Operation("CONV_2D", i2, f2, b2, 2, 1, 1, 0, layout, 3, 3).To(o2)
103 b2: ("TENSOR_INT32", 0.0625, 0),
Dgrouped_conv2d.mod.py71 b2 = Parameter("op3", "TENSOR_FLOAT32", "{2}", [500, -1000]) # bias variable
73 Model("large").Operation("GROUPED_CONV_2D", i2, w2, b2, 1, 1, 1, 2, 0, layout).To(o2)
79 b2: ("TENSOR_INT32", 0.25, 0),
87b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, 0.625], hide=Tru…
Ddepthwise_conv2d_v1_2.mod.py61 b2 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [1, 2, 3, 4]) variable
63 Model().Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 2, 1, 1, 2, 0, layout).To(o2)
69 b2: ("TENSOR_INT32", 0.25, 0),
75b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25, 0.125, 0.25, 0.…
Daxis_aligned_bbox_transform.mod.py72 b2 = Input("batchSplit", "TENSOR_INT32", "{5}") variable
75 model2 = Model().Operation("AXIS_ALIGNED_BBOX_TRANSFORM", r2, d2, b2, i2).To(o2)
100 b2: [0, 2, 5, 5, 6],
Dtranspose_conv2d.mod.py71 b2 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [-1000]) # bias variable
74 Model().Operation("TRANSPOSE_CONV_2D", i2, w2, b2, s2, 1, 3, 3, 1, layout).To(o2)
80 b2: ("TENSOR_INT32", 0.5, 0),
88 b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5], hide=True)),
Dconv2d_v1_2.mod.py50 b2 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [-200]) variable
52 Model().Operation("CONV_2D", i2, f2, b2, 1, 1, 1, 1, layout).To(o2)
58 b2: ("TENSOR_INT32", 0.25, 0),
64 b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25], hide=True)),
Ddepthwise_conv2d_per_channel.mod.py37 b2 = Parameter("op3", "TENSOR_INT32", "{4}", [4, 4, 4, 4]) variable
39 Model("different").Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 2, 0).To(o2)
Dconv2d_per_channel.mod.py35 b2 = Parameter("op3", "TENSOR_INT32", "{3}", [4, 4, 4]) variable
37 Model("layouts").Operation("CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 0, layout).To(o2)
/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
Ddepthwise_conv2d_quant8_signed.mod.py50 b2 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [0,0,0,0]) variable
52 Model().Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 2, 0, layout, 2, 2).To(o2)
58 b2: ("TENSOR_INT32", 0.0625, 0),
107 b2 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [0,0,0,0]) variable
109 Model().Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 2, 1, 1, 2, 0, layout, 2, 2).To(o2)
115 b2: ("TENSOR_INT32", 0.05, 0),
136 b2 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [0]) variable
138 Model().Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 1, 2, 2, 1, 0, layout, 3, 3).To(o2)
144 b2: ("TENSOR_INT32", 0.0625, 0),
185 b2 = Parameter("op3", "TENSOR_INT32", "{4}", [4, 4, 4, 4]) variable
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Dconv2d_quant8_signed.mod.py44 b2 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [0]) variable
46 Model().Operation("CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 0, layout, 3, 3).To(o2)
52 b2: ("TENSOR_INT32", 0.0625, 0),
95 b2 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [0]) variable
97 Model().Operation("CONV_2D", i2, f2, b2, 2, 1, 1, 0, layout, 3, 3).To(o2)
103 b2: ("TENSOR_INT32", 0.0625, 0),
167 b2 = Parameter("op3", "TENSOR_INT32", "{3}", [4, 4, 4]) variable
169 Model("layouts").Operation("CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 0, layout).To(o2)
240 b2 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [-200]) variable
242 Model().Operation("CONV_2D", i2, f2, b2, 1, 1, 1, 1, layout).To(o2)
[all …]
Dgrouped_conv2d_quant8_signed.mod.py71 b2 = Parameter("op3", "TENSOR_FLOAT32", "{2}", [500, -1000]) # bias variable
73 Model("large").Operation("GROUPED_CONV_2D", i2, w2, b2, 1, 1, 1, 2, 0, layout).To(o2)
79 b2: ("TENSOR_INT32", 0.25, 0),
87b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, 0.625], hide=Tru…
Daxis_aligned_bbox_transform_quant8_signed.mod.py73 b2 = Input("batchSplit", "TENSOR_INT32", "{5}") variable
76 model2 = Model().Operation("AXIS_ALIGNED_BBOX_TRANSFORM", r2, d2, b2, i2).To(o2)
101 b2: [0, 2, 5, 5, 6],
Dtranspose_conv2d_quant8_signed.mod.py106 b2 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [-1000]) # bias variable
109 Model().Operation("TRANSPOSE_CONV_2D", i2, w2, b2, s2, 1, 3, 3, 1, layout).To(o2)
115 b2: ("TENSOR_INT32", 0.5, 0),
123 b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5], hide=True)),
Dtranspose_quant8_signed.mod.py106 b2 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [-1000]) # bias variable
109 Model().Operation("TRANSPOSE_CONV_2D", i2, w2, b2, s2, 1, 3, 3, 1, layout).To(o2)
115 b2: ("TENSOR_INT32", 0.5, 0),
123 b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5], hide=True)),
/packages/apps/Messaging/src/android/support/v7/mms/pdu/
DBase64.java75 byte b1 = 0, b2 = 0, b3 = 0, b4 = 0, marker0 = 0, marker1 = 0; in decodeBase64()
99 b2 = base64Alphabet[base64Data[dataIndex + 1]]; in decodeBase64()
106 decodedData[encodedIndex] = (byte) (b1 << 2 | b2 >> 4); in decodeBase64()
108 (byte) (((b2 & 0xf) << 4) | ((b3 >> 2) & 0xf)); in decodeBase64()
112 decodedData[encodedIndex] = (byte) (b1 << 2 | b2 >> 4); in decodeBase64()
117 decodedData[encodedIndex] = (byte) (b1 << 2 | b2 >> 4); in decodeBase64()
119 (byte) (((b2 & 0xf) << 4) | ((b3 >> 2) & 0xf)); in decodeBase64()
/packages/apps/Messaging/src/com/android/messaging/mmslib/pdu/
DBase64.java75 byte b1 = 0, b2 = 0, b3 = 0, b4 = 0, marker0 = 0, marker1 = 0; in decodeBase64()
99 b2 = base64Alphabet[base64Data[dataIndex + 1]]; in decodeBase64()
106 decodedData[encodedIndex] = (byte) (b1 << 2 | b2 >> 4); in decodeBase64()
108 (byte) (((b2 & 0xf) << 4) | ((b3 >> 2) & 0xf)); in decodeBase64()
112 decodedData[encodedIndex] = (byte) (b1 << 2 | b2 >> 4); in decodeBase64()
117 decodedData[encodedIndex] = (byte) (b1 << 2 | b2 >> 4); in decodeBase64()
119 (byte) (((b2 & 0xf) << 4) | ((b3 >> 2) & 0xf)); in decodeBase64()
/packages/apps/Gallery/src/com/android/camera/
DUtil.java70 Bitmap b2 = Bitmap.createBitmap( in rotate() local
72 if (b != b2) { in rotate()
74 b = b2; in rotate()
165 Bitmap b2 = Bitmap.createBitmap(targetWidth, targetHeight, in transform() local
167 Canvas c = new Canvas(b2); in transform()
187 return b2; in transform()
227 Bitmap b2 = Bitmap.createBitmap( in transform() local
234 if (b2 != b1) { in transform()
240 return b2; in transform()
/packages/apps/Test/connectivity/sl4n/rapidjson/doc/diagram/
Dmove1.dot41 b2 [label="{b:null|}", fillcolor=1]
44 a2 -> b2 [style=invis, dir=back]
46 b1 -> b2 [style=invis]
/packages/apps/ManagedProvisioning/tests/instrumentation/src/com/android/managedprovisioning/common/
DLogoUtilsTest.java127 private void assertBitmapEquals(Bitmap b1, Bitmap b2) { in assertBitmapEquals() argument
128 assertEquals(b1.getWidth(), b2.getWidth()); in assertBitmapEquals()
129 assertEquals(b1.getHeight(), b2.getHeight()); in assertBitmapEquals()
132 assertEquals(b1.getPixel(x, y), b2.getPixel(x, y)); in assertBitmapEquals()
/packages/modules/Connectivity/tests/unit/java/com/android/internal/util/
DBitUtilsTest.java82 byte b2 = 2; in testUnsignedShortComposition()
91 assertEquals(0x8002, uint16(b128, b2)); in testUnsignedShortComposition()
185 static byte[] bytes(int b1, int b2, int b3, int b4) { in bytes() argument
186 return new byte[] {b(b1), b(b2), b(b3), b(b4)}; in bytes()
/packages/apps/DevCamera/src/com/android/devcamera/
DBitmapUtility.java65 Bitmap b2 = Bitmap.createBitmap(b, 0, 0,b.getWidth(),b.getHeight(), mat, true); in rotatedBitmap() local
66 return b2; in rotatedBitmap()
/packages/apps/LegacyCamera/jni/feature_mos/src/mosaic/
DGeometry.h112 double b2 = y1 - m2 * x1; in FindTriangleCentroid() local
116 double x = (b2 - b1) / (m1 - m2); in FindTriangleCentroid()

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