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/aosp12/frameworks/base/services/core/java/com/android/server/am/
H A DLmkdStatsReporter.java55 final long pgFault = inputData.readLong(); in logKillOccurred()
56 final long pgMajFault = inputData.readLong(); in logKillOccurred()
57 final long rssInBytes = inputData.readLong(); in logKillOccurred()
61 final int uid = inputData.readInt(); in logKillOccurred()
62 final int oomScore = inputData.readInt(); in logKillOccurred()
63 final int minOomScore = inputData.readInt(); in logKillOccurred()
64 final int freeMemKb = inputData.readInt(); in logKillOccurred()
65 final int freeSwapKb = inputData.readInt(); in logKillOccurred()
66 final int killReason = inputData.readInt(); in logKillOccurred()
67 final int thrashing = inputData.readInt(); in logKillOccurred()
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/aosp12/packages/modules/NeuralNetworks/common/operations/
H A DReshape.cpp34 bool copyData(const void* inputData, const Shape& inputShape, void* outputData, in copyData() argument
38 memcpy(outputData, inputData, count); in copyData()
43 bool depthToSpaceGeneric(const T* inputData, const Shape& inputShape, int32_t blockSize, in depthToSpaceGeneric() argument
50 template bool depthToSpaceGeneric<float>(const float* inputData, const Shape& inputShape,
64 bool spaceToDepthGeneric(const T* inputData, const Shape& inputShape, int32_t blockSize, in spaceToDepthGeneric() argument
71 template bool spaceToDepthGeneric<float>(const float* inputData, const Shape& inputShape,
151 inputData + tflite::Offset(extInputShape, outB - leftBPadding, in padGeneric()
184 template bool padGeneric<float>(const float* inputData, const Shape& inputShape,
187 template bool padGeneric<_Float16>(const _Float16* inputData, const Shape& inputShape,
190 template bool padGeneric<uint8_t>(const uint8_t* inputData, const Shape& inputShape,
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H A DActivation.cpp57 for (int i = 0; i < numElements; i++, inputData++, outputData++) { in reluFloat()
70 bool relu1Float(const T* inputData, const Shape& inputShape, T* outputData, in relu1Float() argument
80 bool relu6Float(const T* inputData, const Shape& inputShape, T* outputData, in relu6Float() argument
82 return reluFloat(inputData, inputShape, outputData, outputShape, 0.f, 6.f); in relu6Float()
93 for (int i = 0; i < numElements; i++, inputData++, outputData++) { in tanhFloat16()
103 for (int i = 0; i < numElements; i++, inputData++, outputData++) { in tanhFloat32()
104 *outputData = std::tanh(*inputData); in tanhFloat32()
110 bool logisticFloat(const T* inputData, const Shape& inputShape, T* outputData, in logisticFloat() argument
114 for (int i = 0; i < numElements; i++, inputData++, outputData++) { in logisticFloat()
134 for (int i = 0; i < numElements; i++, inputData++, outputData++) { in reluXQuant8()
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H A DSplit.cpp29 bool splitGeneric(const Scalar* inputData, const Shape& inputShape, int32_t axis, in splitGeneric() argument
43 const Scalar* inputPtr = inputData; in splitGeneric()
55 bool splitFloat16(const _Float16* inputData, const Shape& inputShape, int32_t axis, in splitFloat16() argument
59 return splitGeneric<_Float16>(inputData, inputShape, axis, outputDataPtrs, outputShapes); in splitFloat16()
62 bool splitFloat32(const float* inputData, const Shape& inputShape, int32_t axis, in splitFloat32() argument
66 return splitGeneric<float>(inputData, inputShape, axis, outputDataPtrs, outputShapes); in splitFloat32()
69 bool splitQuant8(const uint8_t* inputData, const Shape& inputShape, int32_t axis, in splitQuant8() argument
73 return splitGeneric<uint8_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes); in splitQuant8()
76 bool splitQuant8Signed(const int8_t* inputData, const Shape& inputShape, int32_t axis, in splitQuant8Signed() argument
80 return splitGeneric<int8_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes); in splitQuant8Signed()
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H A DPooling.cpp157 convertFloat16ToFloat32(inputData, &inputDataFloat32); in averagePoolNhwc()
187 bool l2PoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param, in l2PoolNhwc() argument
192 tflite::optimized_ops::L2Pool(op_params, convertShapeToTflshape(inputShape), inputData, in l2PoolNhwc()
203 convertFloat16ToFloat32(inputData, &inputDataFloat32); in l2PoolNhwc()
209 bool maxPoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param, in maxPoolNhwc() argument
214 tflite::optimized_ops::MaxPool(op_params, convertShapeToTflshape(inputShape), inputData, in maxPoolNhwc()
247 convertFloat16ToFloat32(inputData, &inputData_float32); in maxPoolNhwc()
255 bool averagePool(const T* inputData, const Shape& inputShape, const PoolingParam& param, in averagePool() argument
259 NN_RET_CHECK(input.initialize(inputData, inputShape)); in averagePool()
272 NN_RET_CHECK(input.initialize(inputData, inputShape)); in l2Pool()
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H A DL2Normalization.cpp48 inline bool l2normFloat32Impl(const float* inputData, const Shape& inputShape, int32_t axis, in l2normFloat32Impl() argument
57 const float* inputBeg = inputData + outer * axisSize * innerSize; in l2normFloat32Impl()
84 const uint8_t* inputBeg = inputData + outer * axisSize * innerSize; in l2normQuant8Impl()
116 const int8_t* inputBeg = inputData + outer * axisSize * innerSize; in l2normQuant8SignedImpl()
151 return l2normFloat32Impl(inputData, inputShape, axis, outputData, outputShape); in l2normFloat32()
155 bool l2normFloat16(const _Float16* inputData, const Shape& inputShape, int32_t axis, in l2normFloat16() argument
159 convertFloat16ToFloat32(inputData, &inputDataFloat32); in l2normFloat16()
168 bool l2normQuant8(const uint8_t* inputData, const Shape& inputShape, int32_t axis, in l2normQuant8() argument
180 return l2normQuant8Impl(inputData, inputShape, axis, outputData, outputShape); in l2normQuant8()
184 bool l2normQuant8Signed(const int8_t* inputData, const Shape& inputShape, int32_t axis, in l2normQuant8Signed() argument
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H A DSimpleMath.cpp33 bool meanFloat16(_Float16* inputData, const Shape& inputShape, const int32_t* axis, in meanFloat16() argument
38 convertFloat16ToFloat32(inputData, &inputDataFloat32); in meanFloat16()
48 bool meanGeneric(T* inputData, const Shape& inputShape, const int32_t* axis, const Shape& axisShape, in meanGeneric() argument
66 inputData, reinterpret_cast<const int*>(inputShape.dimensions.data()), in meanGeneric()
77 template bool meanGeneric<float, float>(float* inputData, const Shape& inputShape,
80 template bool meanGeneric<uint8_t, int32_t>(uint8_t* inputData, const Shape& inputShape,
84 template bool meanGeneric<int8_t, int32_t>(int8_t* inputData, const Shape& inputShape,
H A DCast.cpp44 bool copyToTensor(const FromT* inputData, int numElements, uint8_t* outputData, in copyToTensor() argument
49 copyCast(inputData, reinterpret_cast<dataType*>(outputData), numElements); \ in copyToTensor()
72 bool eval(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData, in eval() argument
80 copyToTensor(reinterpret_cast<const dataType*>(inputData), numElements, outputData, \ in eval()
92 return copyData(inputData, inputShape, outputData, outputShape); in eval()
H A DArgMinMax.cpp29 static void argMinMaxImpl(const In* inputData, const Shape& inputShape, int32_t axis, bool isArgMin, in argMinMaxImpl() argument
37 auto minMaxValue = inputData[outer * axisSize * innerSize + inner]; in argMinMaxImpl()
40 const auto& value = inputData[(outer * axisSize + i) * innerSize + inner]; in argMinMaxImpl()
51 bool argMinMaxGeneric(const uint8_t* inputData, const Shape& inputShape, int32 axis, bool isArgMin, in argMinMaxGeneric() argument
59 argMinMaxImpl(reinterpret_cast<const dataType*>(inputData), inputShape, axis, isArgMin, \ in argMinMaxGeneric()
H A DSoftmax.cpp53 inline bool softmaxSlowFloat32(const float* inputData, const Shape& inputShape, const float beta, in softmaxSlowFloat32() argument
61 const float* inputBeg = inputData + outer * axisSize * innerSize; in softmaxSlowFloat32()
85 bool softmaxFloat32(const float* inputData, const Shape& inputShape, const float beta, int32_t axis, in softmaxFloat32() argument
93 tflite::optimized_ops::Softmax(param, convertShapeToTflshape(inputShape), inputData, in softmaxFloat32()
97 return softmaxSlowFloat32(inputData, inputShape, beta, axis, outputData, outputShape); in softmaxFloat32()
101 bool softmaxFloat16(const _Float16* inputData, const Shape& inputShape, const float beta, in softmaxFloat16() argument
105 convertFloat16ToFloat32(inputData, &inputData_float32); in softmaxFloat16()
116 bool softmaxQuant8Impl(const T* inputData, const Shape& inputShape, const float beta, int32_t axis, in softmaxQuant8Impl() argument
136 const T* inputBeg = inputData + outer * axisSize * innerSize; in softmaxQuant8Impl()
203 bool softmaxQuant8(const T* inputData, const Shape& inputShape, const float beta, int32_t axis, in softmaxQuant8() argument
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H A DLocalResponseNormalization.cpp51 inline bool localResponseNormFloat32Impl(const float* inputData, const Shape& inputShape, in localResponseNormFloat32Impl() argument
61 const float* inputBase = inputData + outer * axisSize * innerSize; in localResponseNormFloat32Impl()
82 bool localResponseNorm(const T* inputData, const Shape& inputShape, int32_t radius, T bias, T alpha,
86 bool localResponseNorm<float>(const float* inputData, const Shape& inputShape, int32_t radius,
98 param, convertShapeToTflshape(inputShape), inputData,
102 return localResponseNormFloat32Impl(inputData, inputShape, radius, bias, alpha, beta, axis,
108 bool localResponseNorm<_Float16>(const _Float16* inputData, const Shape& inputShape, int32_t radius,
113 convertFloat16ToFloat32(inputData, &inputDataFloat32);
H A DGroupedConv2D.cpp58 const float* inputBase = inputData; in groupedConvFloat32()
104 bool groupedConvQuant8(const T* inputData, const Shape& inputShape, const T* filterData, in groupedConvQuant8() argument
130 const T* inputBase = inputData; in groupedConvQuant8()
181 template bool groupedConvQuant8<int8_t>(const int8_t* inputData, const Shape& inputShape,
190 template bool groupedConvQuant8<uint8_t>(const uint8_t* inputData, const Shape& inputShape,
200 bool groupedConvQuant8PerChannel(const T* inputData, const Shape& inputShape, in groupedConvQuant8PerChannel() argument
234 const T* inputBase = inputData; in groupedConvQuant8PerChannel()
285 bool groupedConvFloat16(const _Float16* inputData, const Shape& inputShape, in groupedConvFloat16() argument
298 convertFloat16ToFloat32(inputData, &inputData_float32); in groupedConvFloat16()
312 const uint8_t* inputData, const Shape& inputShape, const int8_t* filterData,
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H A DRNN.cpp116 bool RNN::RNNStep(const T* inputData, const Shape& inputShape, const T* hiddenStateInputData, in RNNStep() argument
124 return RNNStep<T>(inputData, inputShape, /*auxInputData=*/nullptr, /*auxInputShape=*/dummyShape, in RNNStep()
136 bool RNN::RNNStep(const T* inputData, const Shape& inputShape, const T* auxInputData, in RNNStep() argument
162 const T* input_ptr_batch = inputData + b * input_size; in RNNStep()
223 template bool RNN::RNNStep<_Float16>(const _Float16* inputData, const Shape& inputShape,
229 template bool RNN::RNNStep<_Float16>(const _Float16* inputData, const Shape& inputShape,
239 template bool RNN::RNNStep<float>(const float* inputData, const Shape& inputShape,
245 template bool RNN::RNNStep<float>(const float* inputData, const Shape& inputShape,
H A DInstanceNormalization.cpp49 inline bool instanceNormNhwc(const T* inputData, const Shape& inputShape, T gamma, T beta, in instanceNormNhwc() argument
64 T val = inputData[indexBase + (h * width + w) * depth]; in instanceNormNhwc()
73 T val = inputData[indexBase + (h * width + w) * depth] - mean; in instanceNormNhwc()
83 outputData[ind] = (inputData[ind] - mean) * gamma / sigma + beta; in instanceNormNhwc()
92 inline bool instanceNorm(const T* inputData, const Shape& inputShape, T gamma, T beta, T epsilon, in instanceNorm() argument
96 NN_RET_CHECK(input.initialize(inputData, inputShape)); in instanceNorm()
H A DFullyConnected.cpp56 bool fullyConnectedFloat32(const float* inputData, const Shape& inputShape, in fullyConnectedFloat32() argument
70 tflite::reference_ops::FullyConnected(inputData, convertShapeToDims(inputShape), in fullyConnectedFloat32()
77 tflite::optimized_ops::FullyConnected(inputData, convertShapeToDims(inputShape), in fullyConnectedFloat32()
86 bool fullyConnectedFloat16(const _Float16* inputData, const Shape& inputShape, in fullyConnectedFloat16() argument
92 convertFloat16ToFloat32(inputData, &inputDataFloat32); in fullyConnectedFloat16()
107 bool fullyConnectedQuant8(const uint8_t* inputData, const Shape& inputShape, in fullyConnectedQuant8() argument
138 tflite::optimized_ops::FullyConnected(inputData, convertShapeToDims(inputShape), inputOffset, in fullyConnectedQuant8()
148 bool fullyConnectedQuant8(const int8_t* inputData, const Shape& inputShape, in fullyConnectedQuant8() argument
177 params, convertShapeToTflshape(inputShape), inputData, in fullyConnectedQuant8()
H A DResizeImageOps.cpp68 bool resizeNearestNeighbor(const T* inputData, const Shape& inputShape, bool alignCorners, in resizeNearestNeighbor() argument
98 std::copy_n(inputData + b * inHeight * inWidth * channels + in resizeNearestNeighbor()
111 bool resizeImageOpNhwc(OperationType opType, const T* inputData, const Shape& inputShape, in resizeImageOpNhwc() argument
126 convertShapeToTflshape(inputShape), inputData, convertShapeToTflshape(outDimShape), in resizeImageOpNhwc()
131 resizeNearestNeighbor(inputData, inputShape, alignCorners, halfPixelCenters, outputData, in resizeImageOpNhwc()
138 bool resizeImageOpNhwc<_Float16>(OperationType opType, const _Float16* inputData,
143 convertFloat16ToFloat32(inputData, &inputData_float32);
152 bool resizeImageOp(OperationType opType, const T* inputData, const Shape& inputShape, bool useNchw, in resizeImageOp() argument
157 NN_RET_CHECK(input.initialize(inputData, inputShape)); in resizeImageOp()
H A DTile.cpp69 void tileImpl(const T* inputData, const Shape& inputShape, const int32_t* multiples, T* outputData, in tileImpl() argument
71 TileOneDimension(inputShape, inputData, multiples, outputData, 0); in tileImpl()
90 bool eval(const uint8_t* inputData, const Shape& inputShape, const int32_t* multiples, in eval() argument
96 tileImpl(reinterpret_cast<const dataType*>(inputData), inputShape, multiples, \ in eval()
H A DQuantize.cpp40 bool quantizeToQuant8(const T* inputData, uint8_t* outputData, const Shape& outputShape) { in quantizeToQuant8() argument
45 0.0f, std::min<float>(255.0f, outputShape.offset + std::round(inputData[i] / in quantizeToQuant8()
52 bool quantizeToQuant8Signed(const T* inputData, int8_t* outputData, const Shape& outputShape) { in quantizeToQuant8Signed() argument
59 std::round(inputData[i] / outputShape.scale)))); in quantizeToQuant8Signed()
/aosp12/packages/modules/NeuralNetworks/common/include/
H A DOperations.h49 bool floorFloat16(const _Float16* inputData, _Float16* outputData, const Shape& shape);
50 bool floorFloat32(const float* inputData, float* outputData, const Shape& shape);
52 bool depthwiseConvFloat16(const _Float16* inputData, const Shape& inputShape,
66 bool depthwiseConvQuant8(const uint8_t* inputData, const Shape& inputShape,
73 bool depthwiseConvQuant8PerChannel(const uint8_t* inputData, const Shape& inputShape,
90 bool copyData(const void* inputData, const Shape& inputShape, void* outputData,
113 bool meanFloat16(_Float16* inputData, const Shape& inputShape, const int32_t* axis,
120 bool stridedSliceGeneric(const uint8_t* inputData, const Shape& inputShape,
128 bool splitFloat16(const _Float16* inputData, const Shape& inputShape, int32_t axis,
148 bool groupedConvFloat16(const _Float16* inputData, const Shape& inputShape,
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/aosp12/frameworks/base/startop/iorap/tests/src/com/google/android/startop/iorap/
H A DParcelablesTest.kt32 class ParcelablesTest<T : Parcelable>(private val inputData: InputData<T>) {
100 assertThat(inputData.valid).isEqualTo(inputData.valid)
101 assertThat(inputData.valid).isEqualTo(inputData.validCopy)
102 assertThat(inputData.valid).isNotEqualTo(inputData.validOther)
119 assertParcels(inputData.valid, inputData)
120 assertParcels(inputData.validCopy, inputData)
121 assertParcels(inputData.validOther, inputData)
/aosp12/frameworks/base/core/java/com/android/internal/ml/clustering/
H A DKMeans.java64 checkDataSetSanity(inputData); in predict()
65 int dimension = inputData[0].length; in predict()
79 converged = step(means, inputData); in predict()
115 public void checkDataSetSanity(float[][] inputData) { in checkDataSetSanity() argument
116 if (inputData == null) { in checkDataSetSanity()
118 } else if (inputData.length == 0) { in checkDataSetSanity()
120 } else if (inputData[0] == null) { in checkDataSetSanity()
124 final int dimension = inputData[0].length; in checkDataSetSanity()
125 final int length = inputData.length; in checkDataSetSanity()
127 if (inputData[i] == null || inputData[i].length != dimension) { in checkDataSetSanity()
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/aosp12/frameworks/base/packages/StatementService/src/com/android/statementservice/domain/worker/
H A DCollectV1Worker.kt58 val inputData = params.inputData regex
59 val verificationId = inputData.getInt(VERIFICATION_ID_KEY, -1)
62 inputData.keyValueMap.entries.forEach { (key, _) ->
72 val packageName = inputData.getString(PACKAGE_NAME_KEY)
H A DSingleV2RequestWorker.kt58 val domainSetId = params.inputData.getString(DOMAIN_SET_ID_KEY)!!.let(UUID::fromString)
59 val packageName = params.inputData.getString(PACKAGE_NAME_KEY)!!
60 val host = params.inputData.getString(HOST_KEY)!!
/aosp12/frameworks/base/packages/BackupEncryption/test/robolectric/src/com/android/server/backup/encryption/tasks/
H A DEncryptedFullBackupDataProcessorTest.java120 byte[] inputData = Bytes.concat(TEST_DATA_1, TEST_DATA_2); in pushData_writesDataToTask()
122 mFullBackupDataProcessor.initiate(new ByteArrayInputStream(inputData)); in pushData_writesDataToTask()
161 byte[] inputData = Bytes.concat(TEST_DATA_1, TEST_DATA_2); in pushData_exceptionDuringUpload_returnsError()
163 mFullBackupDataProcessor.initiate(new ByteArrayInputStream(inputData)); in pushData_exceptionDuringUpload_returnsError()
176 byte[] inputData = Bytes.concat(TEST_DATA_1, TEST_DATA_2); in pushData_quotaExceptionDuringUpload_doesNotLogAndReturnsQuotaExceeded()
178 mFullBackupDataProcessor.initiate(new ByteArrayInputStream(inputData)); in pushData_quotaExceptionDuringUpload_doesNotLogAndReturnsQuotaExceeded()
193 byte[] inputData = Bytes.concat(TEST_DATA_1, TEST_DATA_2); in pushData_unexpectedEncryptedBackup_logs()
195 mFullBackupDataProcessor.initiate(new ByteArrayInputStream(inputData)); in pushData_unexpectedEncryptedBackup_logs()
207 byte[] inputData = Bytes.concat(TEST_DATA_1, TEST_DATA_2); in pushData_permanentExceptionDuringUpload_callsErrorCallback()
209 mFullBackupDataProcessor.initiate(new ByteArrayInputStream(inputData)); in pushData_permanentExceptionDuringUpload_callsErrorCallback()
/aosp12/frameworks/av/media/libstagefright/codecs/m4v_h263/enc/
H A DSoftMPEG4Encoder.cpp445 const uint8_t *inputData = NULL; in onQueueFilled() local
447 inputData = in onQueueFilled()
452 if (inputData == NULL) { in onQueueFilled()
459 inputData = (const uint8_t *)inHeader->pBuffer + inHeader->nOffset; in onQueueFilled()
462 inputData, mInputFrameData, mWidth, mHeight); in onQueueFilled()
463 inputData = mInputFrameData; in onQueueFilled()
467 CHECK(inputData != NULL); in onQueueFilled()
475 vin.yChan = (uint8_t *)inputData; in onQueueFilled()

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