211                             uint8_t* weights) {  in assignWeightsSubmatrix()  argument
217         weights[(row + offset_row) * weightsDims[1] + column + offset_column] = submatrixValues[i];  in assignWeightsSubmatrix()
269     auto checkWeightsShape = [&](const RunTimeOperandInfo* weights, uint32_t columns) -> bool {  in prepare()  argument
270         NN_RET_CHECK_EQ(NumDimensions(weights), 2);  in prepare()
271         NN_RET_CHECK_EQ(SizeOfDimension(weights, 0), outputSize);  in prepare()
272         NN_RET_CHECK_EQ(SizeOfDimension(weights, 1), columns);  in prepare()
273         NN_RET_CHECK_EQ(weights->scale, weightsScale);  in prepare()
274         NN_RET_CHECK_EQ(weights->zeroPoint, weightsZeroPoint);  in prepare()
353                                            uint8_t* weights) {  in concatenateWeights()  argument
356     assignWeightsSubmatrix(inputToInputWeights_, 0 * outputSize, outputSize, weightsDims, weights);  in concatenateWeights()
357     assignWeightsSubmatrix(inputToCellWeights_, 1 * outputSize, outputSize, weightsDims, weights);  in concatenateWeights()
358     assignWeightsSubmatrix(inputToForgetWeights_, 2 * outputSize, outputSize, weightsDims, weights);  in concatenateWeights()
359     assignWeightsSubmatrix(inputToOutputWeights_, 3 * outputSize, outputSize, weightsDims, weights);  in concatenateWeights()
360     assignWeightsSubmatrix(recurrentToInputWeights_, 0 * outputSize, 0, weightsDims, weights);  in concatenateWeights()
361     assignWeightsSubmatrix(recurrentToCellWeights_, 1 * outputSize, 0, weightsDims, weights);  in concatenateWeights()
362     assignWeightsSubmatrix(recurrentToForgetWeights_, 2 * outputSize, 0, weightsDims, weights);  in concatenateWeights()
363     assignWeightsSubmatrix(recurrentToOutputWeights_, 3 * outputSize, 0, weightsDims, weights);  in concatenateWeights()
383     std::vector<uint8_t> weights(getNumberOfElements(weightsShape));  in eval()  local
384     concatenateWeights(weightsShape.dimensions, weights.data());  in eval()
417             weights.data(), convertShapeToDims(weightsShape), bias.data(),  in eval()