158 uint32_t getSizeOfDimension(const Shape& shape, uint32_t dimensionIdx) {  in getSizeOfDimension()  function
348             dim1 = getSizeOfDimension(in1, numberOfDims1 - i);  in calculateBroadcastedShape()
352             dim2 = getSizeOfDimension(in2, numberOfDims2 - i);  in calculateBroadcastedShape()
424     uint32_t batches = getSizeOfDimension(input, 0);  in depthToSpacePrepare()
425     uint32_t height = getSizeOfDimension(input, 1);  in depthToSpacePrepare()
426     uint32_t width = getSizeOfDimension(input, 2);  in depthToSpacePrepare()
427     uint32_t channels = getSizeOfDimension(input, 3);  in depthToSpacePrepare()
443     uint32_t batches = getSizeOfDimension(input, 0);  in spaceToDepthPrepare()
444     uint32_t height = getSizeOfDimension(input, 1);  in spaceToDepthPrepare()
445     uint32_t width = getSizeOfDimension(input, 2);  in spaceToDepthPrepare()
446     uint32_t channels = getSizeOfDimension(input, 3);  in spaceToDepthPrepare()
464     const uint32_t columns = getSizeOfDimension(valueShape, 1);  in embeddingLookupPrepare()
465     const uint32_t lookups = getSizeOfDimension(lookupShape, 0);  in embeddingLookupPrepare()
470         outputShape->dimensions.push_back(getSizeOfDimension(valueShape, i));  in embeddingLookupPrepare()
484     const uint32_t lookups = getSizeOfDimension(lookupShape, 0);  in hashtableLookupPrepare()
488         outputShape->dimensions.push_back(getSizeOfDimension(valueShape, i));  in hashtableLookupPrepare()
508     NN_OPS_CHECK(getSizeOfDimension(paddingsShape, 0) == numInputDims);  in padPrepare()
509     NN_OPS_CHECK(getSizeOfDimension(paddingsShape, 1) == 2);  in padPrepare()
517         outDims[i] = beforePadding + getSizeOfDimension(input, i) + afterPadding;  in padPrepare()
536     NN_OPS_CHECK(getSizeOfDimension(blockSizeShape, 0) == 2);  in batchToSpacePrepare()
538     uint32_t batches = getSizeOfDimension(input, 0);  in batchToSpacePrepare()
539     uint32_t height = getSizeOfDimension(input, 1);  in batchToSpacePrepare()
540     uint32_t width = getSizeOfDimension(input, 2);  in batchToSpacePrepare()
541     uint32_t channels = getSizeOfDimension(input, 3);  in batchToSpacePrepare()
563     NN_OPS_CHECK(getSizeOfDimension(blockSizeShape, 0) == 2);  in spaceToBatchPrepare()
568     NN_OPS_CHECK(getSizeOfDimension(paddingsShape, 0) == 2);  in spaceToBatchPrepare()
569     NN_OPS_CHECK(getSizeOfDimension(paddingsShape, 1) == 2);  in spaceToBatchPrepare()
571     uint32_t batches = getSizeOfDimension(input, 0);  in spaceToBatchPrepare()
572     uint32_t height = getSizeOfDimension(input, 1);  in spaceToBatchPrepare()
573     uint32_t width = getSizeOfDimension(input, 2);  in spaceToBatchPrepare()
574     uint32_t channels = getSizeOfDimension(input, 3);  in spaceToBatchPrepare()
599     int32_t axisSize = static_cast<int32_t>(getSizeOfDimension(axisShape, 0));  in meanPrepare()
615                 outDims[idx] = getSizeOfDimension(input, idx);  in meanPrepare()
652                 outDims[idx - numSkipAxis] = getSizeOfDimension(input, idx);  in meanPrepare()
727     NN_OPS_CHECK(getSizeOfDimension(filter, 0) == getSizeOfDimension(bias, 0));  in groupedConvPrepare()
729     NN_OPS_CHECK(getSizeOfDimension(filter, 3) * numGroups == getSizeOfDimension(input, 3));  in groupedConvPrepare()
730     NN_OPS_CHECK(getSizeOfDimension(filter, 0) % numGroups == 0);  in groupedConvPrepare()
732     uint32_t channels_out = getSizeOfDimension(filter, 0);  in groupedConvPrepare()
733     uint32_t width = getSizeOfDimension(input, 2);  in groupedConvPrepare()
734     uint32_t height = getSizeOfDimension(input, 1);  in groupedConvPrepare()
735     uint32_t filterWidth = getSizeOfDimension(filter, 2);  in groupedConvPrepare()
736     uint32_t filterHeight = getSizeOfDimension(filter, 1);  in groupedConvPrepare()
737     uint32_t batches = getSizeOfDimension(input, 0);  in groupedConvPrepare()