1048     uint32_t outputDimensions[3] = {2, 2, 2};  in argMinMaxTest()  local
1052             .dimensions = outputDimensions,  in argMinMaxTest()
1107     uint32_t outputDimensions[5] = {2, 2, 2, 2, 2};  in expandDimsTest()  local
1108     ANeuralNetworksOperandType output = getOpType(inputOperandType, 5, outputDimensions);  in expandDimsTest()
1135     uint32_t outputDimensions[7] = {2, 2, 2, 2, 2, 2, 2};  in gatherTest()  local
1136     ANeuralNetworksOperandType output = getOpType(inputOperandType, 7, outputDimensions);  in gatherTest()
1241     uint32_t outputDimensions[2] = {2, 2};  in splitTest()  local
1242     ANeuralNetworksOperandType output0 = getOpType(inputOperandType, 2, outputDimensions);  in splitTest()
1243     ANeuralNetworksOperandType output1 = getOpType(inputOperandType, 2, outputDimensions);  in splitTest()
1266     uint32_t outputDimensions[8] = {2, 2, 2, 2, 2, 2, 2, 2};  in tileTest()  local
1267     ANeuralNetworksOperandType output0 = getOpType(inputOperandType, 8, outputDimensions);  in tileTest()
1285     uint32_t outputDimensions[4] = {4, 5, 6, 3};  in topkV2Test()  local
1286     ANeuralNetworksOperandType outputValues = getOpType(inputOperandType, 4, outputDimensions);  in topkV2Test()
1288             getOpType(ANEURALNETWORKS_TENSOR_INT32, 4, outputDimensions);  in topkV2Test()
1682     uint32_t outputDimensions[2] = {4, 6};  in reshapeOpTest()  local
1683     ANeuralNetworksOperandType output = getOpType(inputOperandCode, 2, outputDimensions);  in reshapeOpTest()
1776     uint32_t outputDimensions[4] = {4, 3, 4, 3};  in padOpTest()  local
1777     ANeuralNetworksOperandType output = getOpType(inputOperandCode, 4, outputDimensions);  in padOpTest()
1817     uint32_t outputDimensions[4] = {4, 3, 4, 3};  in padV2OpTest()  local
1818     ANeuralNetworksOperandType output = getOpType(inputOperandCode, 4, outputDimensions);  in padV2OpTest()
4458     uint32_t outputDimensions[3] = {3, 4, 5};  in fillTest()  local
4459     ANeuralNetworksOperandType output = getOpType(outputOperandType, 3, outputDimensions);  in fillTest()
4511     uint32_t outputDimensions[3] = {1, 2, 4};  in batchMatmulTest()  local
4512     ANeuralNetworksOperandType output = getOpType(operandType, 3, outputDimensions);  in batchMatmulTest()
4735             uint32_t outputDimensions[outputRank];  in packTest()  local
4738                     outputDimensions[outDim] = inputTensorCount;  in packTest()
4740                     outputDimensions[outDim] = inputDimensions[inDim++];  in packTest()
4744                     getOpType(operandCode, outputRank, outputDimensions);  in packTest()
4784     uint32_t outputDimensions[outputRank];  in packTestBadQuantization()  local
4785     std::copy(std::begin(inputDimensions), std::end(inputDimensions), std::begin(outputDimensions));  in packTestBadQuantization()
4786     outputDimensions[inputRank] = inputTensorCount;  in packTestBadQuantization()
4797                 getOpType(operandCode, outputRank, outputDimensions);  in packTestBadQuantization()
4845     uint32_t outputDimensions[outputRank];  in packTestBadRank()  local
4847               std::begin(outputDimensions) + 1);  in packTestBadRank()
4848     outputDimensions[0] = inputTensorCount;  in packTestBadRank()
4881                 getOpType(operandCode, outputRank, outputDimensions);  in packTestBadRank()