293                     Shape* output) {  in reshapePrepare()  argument
321     output->type = input.type;  in reshapePrepare()
322     output->dimensions = outDims;  in reshapePrepare()
323     output->offset = input.offset;  in reshapePrepare()
324     output->scale = input.scale;  in reshapePrepare()
329 bool depthToSpacePrepare(const Shape& input, int32_t blockSize, Shape* output) {  in depthToSpacePrepare()  argument
339     output->type = input.type;  in depthToSpacePrepare()
340     output->dimensions = {batches, height * blockSize, width * blockSize,  in depthToSpacePrepare()
342     output->offset = input.offset;  in depthToSpacePrepare()
343     output->scale = input.scale;  in depthToSpacePrepare()
348 bool spaceToDepthPrepare(const Shape& input, int32_t blockSize, Shape* output) {  in spaceToDepthPrepare()  argument
360     output->type = input.type;  in spaceToDepthPrepare()
361     output->dimensions = {batches, height / blockSize, width / blockSize,  in spaceToDepthPrepare()
363     output->offset = input.offset;  in spaceToDepthPrepare()
364     output->scale = input.scale;  in spaceToDepthPrepare()
411                 Shape* output) {  in padPrepare()  argument
428     output->type = input.type;  in padPrepare()
429     output->dimensions = outDims;  in padPrepare()
430     output->offset = input.offset;  in padPrepare()
431     output->scale = input.scale;  in padPrepare()
437                          const Shape& blockSizeShape, Shape* output) {  in batchToSpacePrepare()  argument
453     output->type = input.type;  in batchToSpacePrepare()
454     output->dimensions = {batches / (blockSizeData[0] * blockSizeData[1]),  in batchToSpacePrepare()
456     output->offset = input.offset;  in batchToSpacePrepare()
457     output->scale = input.scale;  in batchToSpacePrepare()
464                          const Shape& paddingsShape, Shape* output) {  in spaceToBatchPrepare()  argument
491     output->type = input.type;  in spaceToBatchPrepare()
492     output->dimensions = {batches * (blockSizeData[0] * blockSizeData[1]),  in spaceToBatchPrepare()
495     output->offset = input.offset;  in spaceToBatchPrepare()
496     output->scale = input.scale;  in spaceToBatchPrepare()
502                  Shape* output) {  in meanPrepare()  argument
527         output->dimensions = outDims;  in meanPrepare()
568         output->dimensions = outDims;  in meanPrepare()
571     output->type = input.type;  in meanPrepare()
572     output->offset = input.offset;  in meanPrepare()
573     output->scale = input.scale;  in meanPrepare()
578 bool argMinMaxPrepare(const Shape& input, int32_t axis, Shape* output) {  in argMinMaxPrepare()  argument
581     output->type = OperandType::TENSOR_INT32;  in argMinMaxPrepare()
584     output->dimensions.clear();  in argMinMaxPrepare()
586         output->dimensions.reserve(getNumberOfDimensions(input) - 1);  in argMinMaxPrepare()
587         output->dimensions.insert(output->dimensions.end(), input.dimensions.begin(),  in argMinMaxPrepare()
589         output->dimensions.insert(output->dimensions.end(), input.dimensions.begin() + axis + 1,  in argMinMaxPrepare()
592         output->dimensions.push_back(1);  in argMinMaxPrepare()
599                   std::vector<Shape>* output) {  in splitPrepare()  argument
607         output->at(i).type = input.type;  in splitPrepare()
608         output->at(i).dimensions = input.dimensions;  in splitPrepare()
609         output->at(i).dimensions[axis] = sliceSize;  in splitPrepare()
610         output->at(i).offset = input.offset;  in splitPrepare()
611         output->at(i).scale = input.scale;  in splitPrepare()
619                         int32_t numGroups, Shape* output) {  in groupedConvPrepare()  argument
658     output->type = input.type;  in groupedConvPrepare()
659     output->dimensions = {batches, outHeight, outWidth, channels_out};  in groupedConvPrepare()