220     NN_OPS_CHECK(double_multiplier >= 0.);  in QuantizeMultiplierSmallerThanOne()
221     NN_OPS_CHECK(double_multiplier < 1.);  in QuantizeMultiplierSmallerThanOne()
227     NN_OPS_CHECK(double_multiplier > 0.);  in QuantizeMultiplierSmallerThanOne()
231     NN_OPS_CHECK(q_fixed <= (1LL << 31));  in QuantizeMultiplierSmallerThanOne()
236     NN_OPS_CHECK(*right_shift >= 0);  in QuantizeMultiplierSmallerThanOne()
237     NN_OPS_CHECK(q_fixed <= std::numeric_limits<int32_t>::max());  in QuantizeMultiplierSmallerThanOne()
244     NN_OPS_CHECK(double_multiplier > 1.);  in QuantizeMultiplierGreaterThanOne()
247     NN_OPS_CHECK(q_fixed <= (1LL << 31));  in QuantizeMultiplierGreaterThanOne()
252     NN_OPS_CHECK(*left_shift >= 0);  in QuantizeMultiplierGreaterThanOne()
253     NN_OPS_CHECK(q_fixed <= std::numeric_limits<int32_t>::max());  in QuantizeMultiplierGreaterThanOne()
266     NN_OPS_CHECK(std::abs(input_product_scale - bias_scale) <=  in GetQuantizedConvolutionMultipler()
268     NN_OPS_CHECK(input_product_scale >= 0);  in GetQuantizedConvolutionMultipler()
399             NN_OPS_CHECK(strechDim == -1);  in reshapePrepare()
412     NN_OPS_CHECK(numInputElements == numOutputElements);  in reshapePrepare()
423     NN_OPS_CHECK(getNumberOfDimensions(input) == 4);  in depthToSpacePrepare()
424     NN_OPS_CHECK(blockSize > 0);  in depthToSpacePrepare()
431     NN_OPS_CHECK(channels % (blockSize * blockSize) == 0);  in depthToSpacePrepare()
442     NN_OPS_CHECK(getNumberOfDimensions(input) == 4);  in spaceToDepthPrepare()
443     NN_OPS_CHECK(blockSize > 0);  in spaceToDepthPrepare()
450     NN_OPS_CHECK(height % blockSize == 0);  in spaceToDepthPrepare()
451     NN_OPS_CHECK(width % blockSize == 0);  in spaceToDepthPrepare()
463     NN_OPS_CHECK(getNumberOfDimensions(valueShape) >= 2);  in embeddingLookupPrepare()
464     NN_OPS_CHECK(getNumberOfDimensions(lookupShape) == 1);  in embeddingLookupPrepare()
484     NN_OPS_CHECK(getNumberOfDimensions(lookupShape) == 1);  in hashtableLookupPrepare()
485     NN_OPS_CHECK(getNumberOfDimensions(keyShape) == 1);  in hashtableLookupPrepare()
486     NN_OPS_CHECK(getNumberOfDimensions(valueShape) >= 1);  in hashtableLookupPrepare()
512     NN_OPS_CHECK(paddingsShape.type == OperandType::TENSOR_INT32);  in padPrepare()
513     NN_OPS_CHECK(getNumberOfDimensions(paddingsShape) == 2);  in padPrepare()
514     NN_OPS_CHECK(getSizeOfDimension(paddingsShape, 0) == numInputDims);  in padPrepare()
515     NN_OPS_CHECK(getSizeOfDimension(paddingsShape, 1) == 2);  in padPrepare()
522         NN_OPS_CHECK(beforePadding >= 0 && afterPadding >= 0);  in padPrepare()
536     NN_OPS_CHECK(getNumberOfDimensions(input) == 4);  in batchToSpacePrepare()
539     NN_OPS_CHECK(blockSizeShape.type == OperandType::TENSOR_INT32);  in batchToSpacePrepare()
540     NN_OPS_CHECK(getNumberOfDimensions(blockSizeShape) == 1);  in batchToSpacePrepare()
542     NN_OPS_CHECK(getSizeOfDimension(blockSizeShape, 0) == 2);  in batchToSpacePrepare()
549     NN_OPS_CHECK(batches % (blockSizeData[0] * blockSizeData[1]) == 0);  in batchToSpacePrepare()
563     NN_OPS_CHECK(getNumberOfDimensions(input) == 4);  in spaceToBatchPrepare()
566     NN_OPS_CHECK(blockSizeShape.type == OperandType::TENSOR_INT32);  in spaceToBatchPrepare()
567     NN_OPS_CHECK(getNumberOfDimensions(blockSizeShape) == 1);  in spaceToBatchPrepare()
569     NN_OPS_CHECK(getSizeOfDimension(blockSizeShape, 0) == 2);  in spaceToBatchPrepare()
572     NN_OPS_CHECK(paddingsShape.type == OperandType::TENSOR_INT32);  in spaceToBatchPrepare()
573     NN_OPS_CHECK(getNumberOfDimensions(paddingsShape) == 2);  in spaceToBatchPrepare()
574     NN_OPS_CHECK(getSizeOfDimension(paddingsShape, 0) == 2);  in spaceToBatchPrepare()
575     NN_OPS_CHECK(getSizeOfDimension(paddingsShape, 1) == 2);  in spaceToBatchPrepare()
585     NN_OPS_CHECK(paddedHeight % blockSizeData[0] == 0);  in spaceToBatchPrepare()
586     NN_OPS_CHECK(paddedWidth % blockSizeData[1] == 0);  in spaceToBatchPrepare()
601     NN_OPS_CHECK(axisShape.type == OperandType::TENSOR_INT32);  in meanPrepare()
602     NN_OPS_CHECK(getNumberOfDimensions(axisShape) == 1);  in meanPrepare()
633             NN_OPS_CHECK(current >= 0 && current < numInputDims);  in meanPrepare()
700     NN_OPS_CHECK(sizeOfAxisToSplit % numOutputs == 0);  in splitPrepare()
718         NN_OPS_CHECK(input.type == OperandType::TENSOR_QUANT8_ASYMM ||  in groupedConvPrepare()
721         NN_OPS_CHECK(input.type == filter.type);  in groupedConvPrepare()
725         NN_OPS_CHECK(bias.type == OperandType::TENSOR_INT32);  in groupedConvPrepare()
727         NN_OPS_CHECK(input.type == bias.type);  in groupedConvPrepare()
729     NN_OPS_CHECK(getNumberOfDimensions(input) == 4);  in groupedConvPrepare()
730     NN_OPS_CHECK(getNumberOfDimensions(filter) == 4);  in groupedConvPrepare()
731     NN_OPS_CHECK(getNumberOfDimensions(bias) == 1);  in groupedConvPrepare()
733     NN_OPS_CHECK(getSizeOfDimension(filter, 0) == getSizeOfDimension(bias, 0));  in groupedConvPrepare()
735     NN_OPS_CHECK(getSizeOfDimension(filter, 3) * numGroups == getSizeOfDimension(input, 3));  in groupedConvPrepare()
736     NN_OPS_CHECK(getSizeOfDimension(filter, 0) % numGroups == 0);  in groupedConvPrepare()