Searched refs:recurrentWeights (Results 1 – 2 of 2) sorted by relevance
| /frameworks/ml/nn/common/operations/ |
| D | UnidirectionalSequenceRNN.cpp | 62 const T* recurrentWeights = context->getInputBuffer<T>(kRecurrentWeightsTensor); in executeTyped() local
101 recurrentWeights, recurrentWeightsShape, activation, output); in executeTyped()
134 Shape recurrentWeights = context->getInputShape(kRecurrentWeightsTensor); in prepare() local
149 NN_RET_CHECK_EQ(getNumberOfDimensions(recurrentWeights), 2); in prepare()
155 NN_RET_CHECK_EQ(numUnits, getSizeOfDimension(recurrentWeights, 0)); in prepare()
156 NN_RET_CHECK_EQ(numUnits, getSizeOfDimension(recurrentWeights, 1)); in prepare()
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| /frameworks/ml/nn/runtime/test/ |
| D | TestValidateOperations.cpp | 2099 ANeuralNetworksOperandType recurrentWeights = floatTensor2D; in TEST() local
2108 {input, weights, recurrentWeights, bias, hiddenStateIn, activation}, in TEST()
2134 ANeuralNetworksOperandType recurrentWeights = floatTensor2D; in TEST() local
2143 {input, weights, recurrentWeights, bias, hiddenStateIn, activation}, in TEST()
3025 ANeuralNetworksOperandType recurrentWeights = {.type = inputOperandCode, in unidirectionlSequenceRNNTest() local
3055 {input, weights, recurrentWeights, bias, hiddenState, activation, timeMajor}, {output}); in unidirectionlSequenceRNNTest()
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