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Searched refs:outputSize (Results 1 – 18 of 18) sorted by relevance

/packages/modules/NeuralNetworks/common/cpu_operations/
DQuantizedLSTMTest.cpp62 const uint32_t outputSize = in QuantizedLSTMOpModel() local
64 outputSize_ = outputSize; in QuantizedLSTMOpModel()
67 OperandType cellStateOutOperandType(Type::TENSOR_QUANT16_SYMM, {numBatches, outputSize}, in QuantizedLSTMOpModel()
70 OperandType outputOperandType(Type::TENSOR_QUANT8_ASYMM, {numBatches, outputSize}, in QuantizedLSTMOpModel()
83 cellStateOut_.resize(numBatches * outputSize, 0); in QuantizedLSTMOpModel()
84 output_.resize(numBatches * outputSize, 0); in QuantizedLSTMOpModel()
155 int outputSize() { return outputSize_; } in outputSize() function in android::nn::wrapper::QuantizedLSTMOpModel
256 const int outputSize = lstm->outputSize(); in VerifyGoldens() local
259 const uint8_t* goldenBatchStart = output[b].data() + i * outputSize; in VerifyGoldens()
260 const uint8_t* goldenBatchEnd = goldenBatchStart + outputSize; in VerifyGoldens()
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DQuantizedLSTM.cpp263 const uint32_t outputSize = SizeOfDimension(prevOutput, 1); in prepare() local
272 NN_RET_CHECK_EQ(SizeOfDimension(weights, 0), outputSize); in prepare()
291 NN_RET_CHECK(checkWeightsShape(recurrentToInputWeights, outputSize)); in prepare()
292 NN_RET_CHECK(checkWeightsShape(recurrentToForgetWeights, outputSize)); in prepare()
293 NN_RET_CHECK(checkWeightsShape(recurrentToCellWeights, outputSize)); in prepare()
294 NN_RET_CHECK(checkWeightsShape(recurrentToOutputWeights, outputSize)); in prepare()
304 NN_RET_CHECK_EQ(SizeOfDimension(bias, 0), outputSize); in prepare()
321 NN_CHECK_EQ(SizeOfDimension(prevCellState, 1), outputSize); in prepare()
355 const int outputSize = SizeOfDimension(inputToInputWeights_, 0); in concatenateWeights() local
357 assignWeightsSubmatrix(inputToInputWeights_, 0 * outputSize, outputSize, weightsDims, weights); in concatenateWeights()
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DQLSTM.cpp78 const uint32_t outputSize = getSizeOfDimension(recurrentToOutputShape, 1); in prepare() local
100 NN_RET_CHECK_EQ(getSizeOfDimension(recurrentToInputShape, 1), outputSize); in prepare()
106 NN_RET_CHECK_EQ(getSizeOfDimension(recurrentToForgetShape, 1), outputSize); in prepare()
110 NN_RET_CHECK_EQ(getSizeOfDimension(recurrentToCellShape, 1), outputSize); in prepare()
172 NN_RET_CHECK_EQ(getSizeOfDimension(projectionShape, 0), outputSize); in prepare()
179 NN_RET_CHECK_EQ(getSizeOfDimension(projectionBiasShape, 0), outputSize); in prepare()
185 NN_RET_CHECK_EQ(getSizeOfDimension(outputStateShape, 1), outputSize); in prepare()
279 const uint32_t outputSize = recurrentToOutputWeightsShape.dimensions[1]; in execute() local
566 outputSize, numUnits, in execute()
570 cellToForgetBuffer, outputSize, cellStateBuffer, batchSize, in execute()
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DUnidirectionalSequenceLSTM.cpp107 const uint32_t outputSize = getSizeOfDimension(recurrentToOutputShape, 1); in prepare() local
129 NN_RET_CHECK_EQ(getSizeOfDimension(recurrentToInputShape, 1), outputSize); in prepare()
135 NN_RET_CHECK_EQ(getSizeOfDimension(recurrentToForgetShape, 1), outputSize); in prepare()
139 NN_RET_CHECK_EQ(getSizeOfDimension(recurrentToCellShape, 1), outputSize); in prepare()
201 NN_RET_CHECK_EQ(getSizeOfDimension(projectionShape, 0), outputSize); in prepare()
208 NN_RET_CHECK_EQ(getSizeOfDimension(projectionBiasShape, 0), outputSize); in prepare()
214 NN_RET_CHECK_EQ(getSizeOfDimension(outputStateShape, 1), outputSize); in prepare()
269 outputShape.dimensions[2] = outputSize; in prepare()
278 outputStateOutTensor.dimensions[1] = outputSize; in prepare()
DMirrorPad.cpp176 void run(const EvalData<T>& evalData, const int outputSize) { in run() argument
180 for (int i = 0; i < outputSize; ++i) { in run()
217 const auto outputSize = getNumberOfElements(outputShape); in eval() local
225 NN_RET_CHECK(checkAsInt(outputSize)); \ in eval()
226 run(evalData, int(outputSize)); \ in eval()
DLSTM.cpp438 const uint32_t outputSize = getSizeOfDimension(recurrent_to_output_weights_shape, 1); in LSTMEvalFloat32() local
443 const uint32_t batchOutputSize = batchSize * outputSize; in LSTMEvalFloat32()
462 transposedOutputShape.dimensions[2] = outputSize; in LSTMEvalFloat32()
470 output_state_in_buffer, output_state_in_buffer + batchSize * outputSize); in LSTMEvalFloat32()
507 output_state_out_buffer + batchSize * outputSize); in LSTMEvalFloat32()
558 const uint32_t outputSize = getSizeOfDimension(recurrent_to_output_weights_shape, 1); in LSTMEvalFloat16() local
563 const uint32_t batchOutputSize = batchSize * outputSize; in LSTMEvalFloat16()
578 std::vector<float> recurrent_to_input_weights_float32(numCells * outputSize); in LSTMEvalFloat16()
583 std::vector<float> recurrent_to_forget_weights_float32(numCells * outputSize); in LSTMEvalFloat16()
586 std::vector<float> recurrent_to_cell_weights_float32(numCells * outputSize); in LSTMEvalFloat16()
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DSlice.cpp48 [[maybe_unused]] const int outputSize = getNumberOfElements(outputShape); in evalGeneric() local
/packages/modules/Connectivity/nearby/tests/unit/src/com/android/server/nearby/util/encryption/
DCryptorTest.java35 int outputSize = 16; in test_computeHkdf() local
36 byte[] res1 = Cryptor.computeHkdf(DATA, AUTHENTICITY_KEY, outputSize); in test_computeHkdf()
39 outputSize); in test_computeHkdf()
41 assertThat(res1).hasLength(outputSize); in test_computeHkdf()
42 assertThat(res2).hasLength(outputSize); in test_computeHkdf()
45 .isEqualTo(CryptorMicImp.computeHkdf(DATA, AUTHENTICITY_KEY, outputSize)); in test_computeHkdf()
/packages/apps/Gallery2/src/com/android/gallery3d/filtershow/filters/
DImageFilterTinyPlanet.java79 int outputSize = (int) (w / 2f); in apply() local
90 if (outputSize != mBitmapOut.getHeight()) { in apply()
96 mBitmapOut = getEnvironment().getBitmap(outputSize, in apply()
97 outputSize, BitmapCache.TINY_PLANET); in apply()
100 outputSize /= 2; in apply()
105 outputSize, mParameters.getZoom() / 100f, mParameters.getAngle()); in apply()
/packages/modules/NeuralNetworks/runtime/test/
DTestMemoryInternal.cpp162 constexpr size_t outputSize = offsetForActual + sizeof(Matrix3x4); in TEST_F() local
164 int outputFd = ASharedMemory_create("output", outputSize); in TEST_F()
168 CHECK_EQ(ftruncate(outputFd, outputSize), 0); in TEST_F()
172 (uint8_t*)mmap(nullptr, outputSize, PROT_READ | PROT_WRITE, MAP_SHARED, outputFd, 0); in TEST_F()
174 memset(outputData, 0, outputSize); in TEST_F()
175 WrapperMemory actual(outputSize, PROT_READ | PROT_WRITE, outputFd, 0); in TEST_F()
193 munmap(outputData, outputSize); in TEST_F()
DTestValidateOperations.cpp4109 const uint32_t outputSize = 6; in unidirectionalSequenceLSTMTest() local
4113 uint32_t recurrentWeightsDims[2] = {numUnits, outputSize}; in unidirectionalSequenceLSTMTest()
4115 uint32_t projectionDims[2] = {outputSize, numUnits}; in unidirectionalSequenceLSTMTest()
4116 uint32_t projectionBiasDims[1] = {outputSize}; in unidirectionalSequenceLSTMTest()
4117 uint32_t outputStateDims[2] = {batchSize, outputSize}; in unidirectionalSequenceLSTMTest()
4120 uint32_t outputDims[3] = {maxTime, batchSize, outputSize}; in unidirectionalSequenceLSTMTest()
/packages/apps/Messaging/src/com/android/messaging/util/
DGifTranscoder.java52 final long outputSize = new File(outFilePath).length(); in transcode() local
53 final float compression = (inputSize > 0) ? ((float) outputSize / inputSize) : 0; in transcode()
60 Formatter.formatShortFileSize(context, outputSize), in transcode()
/packages/modules/NeuralNetworks/runtime/test/fuzzing/operation_signatures/
DSelection.cpp252 int32_t outputSize = op->outputs[0]->dimensions[i].getValue(); in sliceFinalizer() local
254 begin[i] = getUniform<int32_t>(0, inputSize - outputSize); in sliceFinalizer()
255 size[i] = outputSize; in sliceFinalizer()
325 int32_t outputSize = op->outputs[0]->dimensions[o++].getValue(); in stridedSliceFinalizer() local
326 int32_t maxStart = inputSize - (outputSize - 1) * stride - 1; in stridedSliceFinalizer()
329 int32_t minEnd = begin[i] + (outputSize - 1) * stride + 1; in stridedSliceFinalizer()
330 int32_t maxEnd = std::min(begin[i] + outputSize * stride, inputSize); in stridedSliceFinalizer()
/packages/apps/Camera2/src/com/android/camera/tinyplanet/
DTinyPlanetFragment.java351 int outputSize = width / 2; in createFinalTinyPlanet() local
352 Bitmap resultBitmap = Bitmap.createBitmap(outputSize, outputSize, in createFinalTinyPlanet()
356 outputSize, mCurrentZoom, mCurrentAngle); in createFinalTinyPlanet()
365 return new TinyPlanetImage(addExif(jpeg.toByteArray()), outputSize); in createFinalTinyPlanet()
DTinyPlanetNative.java40 public static native void process(Bitmap in, int width, int height, Bitmap out, int outputSize, in process() argument
/packages/modules/Permission/tests/cts/permissionui/AppThatAccessesCameraAndMic/src/android/permissionui/cts/appthataccessescameraandmic/
DAccessCameraOrMicActivity.kt150 val outputSize: Size = config!!.getOutputSizes(outputFormat)[0] in onOpened() constant
154 ImageReader.newInstance(outputSize.width, outputSize.height, outputFormat, 2) in onOpened()
/packages/modules/NeuralNetworks/common/types/operations/include/
DQuantizedLSTM.h89 void concatenateBiases(uint32_t outputSize, int32_t* bias);
/packages/modules/NeuralNetworks/tools/api/
Dtypes.spec5040 * and shape [outputSize, inputSize] specifying input-to-input part of
5046 * and shape [outputSize, inputSize] specifying input-to-forget part of
5052 * and shape [outputSize, inputSize] specifying input-to-cell part of
5058 * and shape [outputSize, inputSize] specifying input-to-output part of
5064 * and shape [outputSize, outputSize] specifying recurrent-to-input part
5070 * and shape [outputSize, outputSize] specifying recurrent-to-forget
5076 * and shape [outputSize, outputSize] specifying recurrent-to-cell part
5082 * and shape [outputSize, outputSize] specifying recurrent-to-output
5088 * [outputSize] specifying the bias for the fully-connected layer
5093 * [outputSize] specifying the bias for the fully-connected layer
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