98 inline bool hasTensor(IOperationExecutionContext* context, const uint32_t tensor) {  in hasTensor()  function
195     if (hasTensor(context, kInputToInputWeightsTensor)) {  in prepare()
211     if (hasTensor(context, kRecurrentToInputWeightsTensor)) {  in prepare()
229     const bool cifgWeightsAllOrNone = (hasTensor(context, kInputToInputWeightsTensor) &&  in prepare()
230                                        hasTensor(context, kRecurrentToInputWeightsTensor)) ||  in prepare()
231                                       (!hasTensor(context, kInputToInputWeightsTensor) &&  in prepare()
232                                        !hasTensor(context, kRecurrentToInputWeightsTensor));  in prepare()
235     if (hasTensor(context, kCellToInputWeightsTensor)) {  in prepare()
241     if (hasTensor(context, kCellToForgetWeightsTensor)) {  in prepare()
247     if (hasTensor(context, kCellToOutputWeightsTensor)) {  in prepare()
254     const bool cifgUsed = !hasTensor(context, kInputToInputWeightsTensor);  in prepare()
256             ((hasTensor(context, kCellToInputWeightsTensor) || cifgUsed) &&  in prepare()
257              hasTensor(context, kCellToForgetWeightsTensor) &&  in prepare()
258              hasTensor(context, kCellToOutputWeightsTensor)) ||  in prepare()
259             (!hasTensor(context, kCellToInputWeightsTensor) &&  in prepare()
260              !hasTensor(context, kCellToForgetWeightsTensor) &&  in prepare()
261              !hasTensor(context, kCellToOutputWeightsTensor));  in prepare()
265         NN_RET_CHECK(hasTensor(context, kInputGateBiasTensor));  in prepare()
270         NN_RET_CHECK(!hasTensor(context, kInputGateBiasTensor))  in prepare()
284     if (hasTensor(context, kProjectionWeightsTensor)) {  in prepare()
291     if (hasTensor(context, kProjectionBiasTensor)) {  in prepare()
306     if (hasTensor(context, kInputLayerNormTensor)) {  in prepare()
312     if (hasTensor(context, kForgetLayerNormTensor)) {  in prepare()
318     if (hasTensor(context, kCellLayerNormTensor)) {  in prepare()
324     if (hasTensor(context, kOutputLayerNormTensor)) {  in prepare()
331         NN_RET_CHECK(!hasTensor(context, kInputLayerNormTensor))  in prepare()
333         const bool layerNormWeightsAllOrNoneCifg = (hasTensor(context, kForgetLayerNormTensor) &&  in prepare()
334                                                     hasTensor(context, kCellLayerNormTensor) &&  in prepare()
335                                                     hasTensor(context, kOutputLayerNormTensor)) ||  in prepare()
336                                                    (!hasTensor(context, kForgetLayerNormTensor) &&  in prepare()
337                                                     !hasTensor(context, kCellLayerNormTensor) &&  in prepare()
338                                                     !hasTensor(context, kOutputLayerNormTensor));  in prepare()
341         const bool layerNormWeightsAllOrNone = (hasTensor(context, kInputLayerNormTensor) &&  in prepare()
342                                                 hasTensor(context, kForgetLayerNormTensor) &&  in prepare()
343                                                 hasTensor(context, kCellLayerNormTensor) &&  in prepare()
344                                                 hasTensor(context, kOutputLayerNormTensor)) ||  in prepare()
345                                                (!hasTensor(context, kInputLayerNormTensor) &&  in prepare()
346                                                 !hasTensor(context, kForgetLayerNormTensor) &&  in prepare()
347                                                 !hasTensor(context, kCellLayerNormTensor) &&  in prepare()
348                                                 !hasTensor(context, kOutputLayerNormTensor));  in prepare()