41                                                  ANEURALNETWORKS_INT32,
486                     if ((newOperandCode == ANEURALNETWORKS_INT32 &&  in testMutatingInputOperandCode()
489                          originalOperandCode == ANEURALNETWORKS_INT32)) {  in testMutatingInputOperandCode()
517                     if ((newOperandCode == ANEURALNETWORKS_INT32 &&  in testMutatingInputOperandCode()
520                          originalOperandCode == ANEURALNETWORKS_INT32)) {  in testMutatingInputOperandCode()
1033             .type = ANEURALNETWORKS_INT32,  in argMinMaxTest()
1092             .type = ANEURALNETWORKS_INT32,  in expandDimsTest()
1115             .type = ANEURALNETWORKS_INT32,  in gatherTest()
1221             .type = ANEURALNETWORKS_INT32,  in splitTest()
1226             .type = ANEURALNETWORKS_INT32,  in splitTest()
1273     ANeuralNetworksOperandType k = getOpType(ANEURALNETWORKS_INT32);  in topkV2Test()
1296     ANeuralNetworksOperandType activation = {.type = ANEURALNETWORKS_INT32,  in simpleMathOpTest()
1389     ANeuralNetworksOperandType activation = {.type = ANEURALNETWORKS_INT32,  in TEST()
1691     ANeuralNetworksOperandType axis = {.type = ANEURALNETWORKS_INT32,  in logSoftmaxOpTest()
1719     ANeuralNetworksOperandType keepDims = getOpType(ANEURALNETWORKS_INT32);  in meanOpTest()
1776         padValue = getOpType(ANEURALNETWORKS_INT32);  in padV2OpTest()
1806     ANeuralNetworksOperandType axis = getOpType(ANEURALNETWORKS_INT32);  in softmaxOpTest()
1833     ANeuralNetworksOperandType scalar = {.type = ANEURALNETWORKS_INT32,  in poolingOpTest()
1925     ANeuralNetworksOperandType block_size = {.type = ANEURALNETWORKS_INT32,  in spaceDepthOpTest()
2124     ANeuralNetworksOperandType scalar = {.type = ANEURALNETWORKS_INT32,  in convOpTest()
2259     ANeuralNetworksOperandType scalar = {.type = ANEURALNETWORKS_INT32,  in depthwiseConvOpTest()
2392     ANeuralNetworksOperandType activation = {.type = ANEURALNETWORKS_INT32,  in fullyConnectedOpTest()
2428     ANeuralNetworksOperandType activation = {.type = ANEURALNETWORKS_INT32,  in concatenationTest()
2477     resizeBilinearOpTest(ANEURALNETWORKS_TENSOR_FLOAT16, ANEURALNETWORKS_INT32);  in TEST()
2478     resizeBilinearOpTest(ANEURALNETWORKS_TENSOR_FLOAT32, ANEURALNETWORKS_INT32);  in TEST()
2479     resizeBilinearOpTest(ANEURALNETWORKS_TENSOR_QUANT8_ASYMM, ANEURALNETWORKS_INT32);  in TEST()
2480     resizeBilinearOpTest(ANEURALNETWORKS_TENSOR_QUANT8_ASYMM_SIGNED, ANEURALNETWORKS_INT32);  in TEST()
2561     ANeuralNetworksOperandType type = {.type = ANEURALNETWORKS_INT32,  in lshProjectionTest()
2608     ANeuralNetworksOperandType intScalar = {.type = ANEURALNETWORKS_INT32,  in TEST()
2690     ANeuralNetworksOperandType intScalar = {.type = ANEURALNETWORKS_INT32,  in lstmTestV1_2()
2799             .type = ANEURALNETWORKS_INT32,  in lstmBidirectionalSequence()
2968     ANeuralNetworksOperandType sample_count = {.type = ANEURALNETWORKS_INT32,  in randomMultinomialOpTest()
3012     ANeuralNetworksOperandType intScalar = {.type = ANEURALNETWORKS_INT32,  in TEST()
3047     ANeuralNetworksOperandType intScalar = {.type = ANEURALNETWORKS_INT32,  in TEST()
3082     ANeuralNetworksOperandType intScalar = {.type = ANEURALNETWORKS_INT32,  in TEST()
3119     ANeuralNetworksOperandType intScalar = {.type = ANEURALNETWORKS_INT32,  in TEST()
3158     ANeuralNetworksOperandType beginMask = {.type = ANEURALNETWORKS_INT32,  in stridedSliceOpTest()
3196              getOpType(ANEURALNETWORKS_INT32), getOpType(ANEURALNETWORKS_INT32),  in roiAlignOpTest()
3198              getOpType(ANEURALNETWORKS_INT32), getOpType(ANEURALNETWORKS_INT32),  in roiAlignOpTest()
3231              getOpType(ANEURALNETWORKS_INT32), getOpType(ANEURALNETWORKS_INT32),  in roiPoolingOpTest()
3337     ANeuralNetworksOperandType scalar = getOpType(ANEURALNETWORKS_INT32);  in groupedConvOpTest()
3411     ANeuralNetworksOperandType scalar = getOpType(ANEURALNETWORKS_INT32);  in transposeConvOpTest()
3466             {getOpType(operandCode, 2, inoutDim), getOpType(ANEURALNETWORKS_INT32),  in channelShuffleOpTest()
3467              getOpType(ANEURALNETWORKS_INT32)},  in channelShuffleOpTest()
3506     ANeuralNetworksOperandType maxNumDetections = getOpType(ANEURALNETWORKS_INT32);  in detectionPostprocessingOpTest()
3568             operationCode, {getOpType(operandCode, 4, inputDim), getOpType(ANEURALNETWORKS_INT32)},  in normalizationOpTest()
3597             {getOpType(operandCode, 4, inputDim), getOpType(ANEURALNETWORKS_INT32),  in localResponseNormOpTest()
3604             {getOpType(operandCode, 4, inputDim), getOpType(ANEURALNETWORKS_INT32),  in localResponseNormOpTest()
3606              getOpType(ANEURALNETWORKS_INT32)},  in localResponseNormOpTest()
3856              getOpType(ANEURALNETWORKS_INT32), getOpType(ANEURALNETWORKS_INT32),  in boxWithNmsLimitOpTest()
3971     ANeuralNetworksOperandType activation = {.type = ANEURALNETWORKS_INT32,  in bidirectionlSequenceRNNTest()
4043     ANeuralNetworksOperandType intScalar = {.type = ANEURALNETWORKS_INT32,  in unidirectionlSequenceRNNTest()
4140             .type = ANEURALNETWORKS_INT32,  in unidirectionalSequenceLSTMTest()
4232              getOpType(ANEURALNETWORKS_INT32), getOpType(ANEURALNETWORKS_INT32),  in generateProposalsOpTest()
4276     resizeNearestNeighborTest(ANEURALNETWORKS_TENSOR_FLOAT32, ANEURALNETWORKS_INT32);  in TEST()
4281     resizeNearestNeighborTest(ANEURALNETWORKS_TENSOR_FLOAT16, ANEURALNETWORKS_INT32);  in TEST()
4286     resizeNearestNeighborTest(ANEURALNETWORKS_TENSOR_QUANT8_ASYMM, ANEURALNETWORKS_INT32);  in TEST()
4291     resizeNearestNeighborTest(ANEURALNETWORKS_TENSOR_QUANT8_ASYMM_SIGNED, ANEURALNETWORKS_INT32);  in TEST()
4335             .type = ANEURALNETWORKS_INT32,  in TEST()
4434     fillTest(ANEURALNETWORKS_INT32, ANEURALNETWORKS_TENSOR_INT32);  in TEST()
4440     ANeuralNetworksOperandType output = getOpType(ANEURALNETWORKS_INT32);  in rankTest()