Lines Matching refs:inputDimensions
1030 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in argMinMaxTest() local
1031 ANeuralNetworksOperandType input0 = getOpType(inputOperandType, 4, inputDimensions); in argMinMaxTest()
1066 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in dequantizeOpTest() local
1067 ANeuralNetworksOperandType input = getOpType(inputOperandType, 4, inputDimensions); in dequantizeOpTest()
1068 ANeuralNetworksOperandType output = getOpType(outputOperandType, 4, inputDimensions); in dequantizeOpTest()
1089 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in expandDimsTest() local
1090 ANeuralNetworksOperandType input0 = getOpType(inputOperandType, 4, inputDimensions); in expandDimsTest()
1112 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in gatherTest() local
1113 ANeuralNetworksOperandType input0 = getOpType(inputOperandType, 4, inputDimensions); in gatherTest()
1122 .dimensions = inputDimensions, in gatherTest()
1139 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in quantizeOpTest() local
1141 .type = inputOperandCode, .dimensionCount = 4, .dimensions = inputDimensions}; in quantizeOpTest()
1144 .dimensions = inputDimensions, in quantizeOpTest()
1218 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in splitTest() local
1219 ANeuralNetworksOperandType input0 = getOpType(inputOperandType, 4, inputDimensions); in splitTest()
1247 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in tileTest() local
1248 ANeuralNetworksOperandType input0 = getOpType(inputOperandType, 4, inputDimensions); in tileTest()
1271 uint32_t inputDimensions[4] = {4, 5, 6, 7}; in topkV2Test() local
1272 ANeuralNetworksOperandType input = getOpType(inputOperandType, 4, inputDimensions); in topkV2Test()
1291 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in simpleMathOpTest() local
1292 ANeuralNetworksOperandType input1 = getOpType(operandCode, 4, inputDimensions); in simpleMathOpTest()
1381 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in TEST() local
1383 getOpType(ANEURALNETWORKS_TENSOR_QUANT8_ASYMM, 4, inputDimensions); in TEST()
1400 uint32_t inputDimensions[] = {2, 2, 2, 2, 2}; in binaryOpTest() local
1401 ANeuralNetworksOperandType input1 = getOpType(operandCode, 5, inputDimensions); in binaryOpTest()
1451 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in activationOpTest() local
1452 ANeuralNetworksOperandType input = getOpType(operandCode, 4, inputDimensions); in activationOpTest()
1638 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in eluOpTest() local
1639 ANeuralNetworksOperandType input = getOpType(operandCode, 4, inputDimensions); in eluOpTest()
1659 uint32_t inputDimensions[3] = {2, 3, 4}; in reshapeOpTest() local
1660 ANeuralNetworksOperandType input = getOpType(inputOperandCode, 3, inputDimensions); in reshapeOpTest()
1678 uint32_t inputDimensions[3] = {2, 2, 2}; in logSoftmaxOpTest() local
1681 .dimensions = inputDimensions, in logSoftmaxOpTest()
1699 .dimensions = inputDimensions, in logSoftmaxOpTest()
1716 uint32_t inputDimensions[3] = {2, 2, 2}; in meanOpTest() local
1717 ANeuralNetworksOperandType input = getOpType(inputOperandCode, 3, inputDimensions); in meanOpTest()
1718 ANeuralNetworksOperandType dims = getOpType(ANEURALNETWORKS_TENSOR_INT32, 1, inputDimensions); in meanOpTest()
1720 ANeuralNetworksOperandType output = getOpType(inputOperandCode, 3, inputDimensions); in meanOpTest()
1745 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in padOpTest() local
1746 ANeuralNetworksOperandType input = getOpType(inputOperandCode, 4, inputDimensions); in padOpTest()
1766 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in padV2OpTest() local
1767 ANeuralNetworksOperandType input = getOpType(inputOperandCode, 4, inputDimensions); in padV2OpTest()
1793 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in softmaxOpTest() local
1794 ANeuralNetworksOperandType input = getOpType(operandCode, 4, inputDimensions); in softmaxOpTest()
1829 uint32_t inputDimensions[4] = {2, 4, 4, 2}; in poolingOpTest() local
1830 ANeuralNetworksOperandType input = getOpType(operandCode, 4, inputDimensions); in poolingOpTest()
1922 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in spaceDepthOpTest() local
1923 ANeuralNetworksOperandType input = getOpType(operandCode, 4, inputDimensions); in spaceDepthOpTest()
1977 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in spaceBatchOpTest() local
1978 ANeuralNetworksOperandType input = getOpType(operandCode, 4, inputDimensions); in spaceBatchOpTest()
2043 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in transposeAndSqueezeOpTest() local
2044 ANeuralNetworksOperandType input = getOpType(operandCode, 4, inputDimensions); in transposeAndSqueezeOpTest()
2093 uint32_t inputDimensions[4] = {2, 4, 4, 2}; in convOpTest() local
2094 ANeuralNetworksOperandType input = getOpType(inputOperandCode, 4, inputDimensions); in convOpTest()
2098 ANeuralNetworksOperandType filter = getOpType(filterOperandCode, 4, inputDimensions); in convOpTest()
2231 uint32_t inputDimensions[4] = {1, 2, 2, 2}; in depthwiseConvOpTest() local
2232 ANeuralNetworksOperandType input = getOpType(inputOperandCode, 4, inputDimensions); in depthwiseConvOpTest()
2236 ANeuralNetworksOperandType filter = getOpType(filterOperandCode, 4, inputDimensions); in depthwiseConvOpTest()
2374 uint32_t inputDimensions[2] = {5, 5}; in fullyConnectedOpTest() local
2375 ANeuralNetworksOperandType input = getOpType(operandCode, 2, inputDimensions); in fullyConnectedOpTest()
2423 uint32_t inputDimensions[2] = {5, 5}; in concatenationTest() local
2424 ANeuralNetworksOperandType input1 = getOpType(operandCode, 2, inputDimensions); in concatenationTest()
2461 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in resizeBilinearOpTest() local
2462 ANeuralNetworksOperandType input = getOpType(inputOperandCode, 4, inputDimensions); in resizeBilinearOpTest()
2495 uint32_t inputDimensions[2] = {5, 5}; in embeddingLookupTest() local
2496 ANeuralNetworksOperandType input = getOpType(operandCode, 2, inputDimensions); in embeddingLookupTest()
2554 uint32_t inputDimensions[2] = {5, 5}; in lshProjectionTest() local
2555 ANeuralNetworksOperandType hash = getOpType(hashAndWeightOperandCode, 2, inputDimensions); in lshProjectionTest()
2556 ANeuralNetworksOperandType input = getOpType(operandCode, 2, inputDimensions); in lshProjectionTest()
3144 uint32_t inputDimensions[2] = {5, 5}; in stridedSliceOpTest() local
3145 ANeuralNetworksOperandType input = getOpType(operandCode, 2, inputDimensions); in stridedSliceOpTest()
3680 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in logicalTest() local
3683 .dimensions = inputDimensions, in logicalTest()
3702 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in comparisonTest() local
3703 ANeuralNetworksOperandType input1 = getOpType(inputOperandType, 4, inputDimensions); in comparisonTest()
3707 .dimensions = inputDimensions, in comparisonTest()
3769 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in reduceOpTest() local
3770 ANeuralNetworksOperandType input1 = getOpType(inputOperandType, 4, inputDimensions); in reduceOpTest()
3774 ANeuralNetworksOperandType output = getOpType(inputOperandType, 4, inputDimensions); in reduceOpTest()
3813 uint32_t inputDimensions[4] = {2, 2, 2, 2}; in selectTest() local
3814 ANeuralNetworksOperandType input0 = getOpType(ANEURALNETWORKS_TENSOR_BOOL8, 4, inputDimensions); in selectTest()
3815 ANeuralNetworksOperandType input1 = getOpType(inputOperandType, 4, inputDimensions); in selectTest()
3832 const uint32_t inputDimensions[] = {3, 3}; in powTest() local
3835 .dimensions = inputDimensions, in powTest()
3888 uint32_t inputDimensions[3] = {2, 2, 2}; in castOpTest() local
3889 ANeuralNetworksOperandType input = getOpType(inputOperandCode, 3, inputDimensions); in castOpTest()
3890 ANeuralNetworksOperandType output = getOpType(outputOperandCode, 3, inputDimensions); in castOpTest()
4416 uint32_t inputDimensions[1] = {3}; in fillTest() local
4417 ANeuralNetworksOperandType input0 = getOpType(ANEURALNETWORKS_TENSOR_INT32, 1, inputDimensions); in fillTest()
4438 uint32_t inputDimensions[3] = {3, 4, 5}; in rankTest() local
4439 ANeuralNetworksOperandType input = getOpType(inputOperandType, 3, inputDimensions); in rankTest()