Lines Matching refs:dimensionCount
75 .type = type, .dimensionCount = 0, .dimensions = nullptr}; in addScalarOperand()
92 .dimensionCount = static_cast<uint32_t>(dimensions.size()), in addTensorOperand()
131 .dimensionCount = 1,
137 .dimensionCount = 0,
184 .dimensionCount = 1, in SetUp()
187 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in SetUp()
330 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in addScalarOperand()
338 .dimensionCount = 1, in addTensorOperand()
416 .type = ANEURALNETWORKS_FLOAT32, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
423 .dimensionCount = 0, in TEST_F()
434 .dimensionCount = 0, in TEST_F()
447 .dimensionCount = 1, in TEST_F()
548 .dimensionCount = 2, in TEST_F()
560 .dimensionCount = 0, in TEST_F()
573 .dimensionCount = std::size(dimensions), in TEST_F()
583 .type = ANEURALNETWORKS_FLOAT32, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
592 .type = ANEURALNETWORKS_FLOAT32, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
622 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
681 .dimensionCount = 1, in TEST_F()
714 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
753 .dimensionCount = std::size(dimensions), in TEST_F()
803 .type = ANEURALNETWORKS_OEM_SCALAR, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
812 .type = ANEURALNETWORKS_TENSOR_OEM_BYTE, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
976 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
978 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
1023 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
1043 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
1064 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
1082 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
1084 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
2241 .dimensionCount = 1, in TEST_F()
2277 .dimensionCount = 1, in TEST_F()
2485 .dimensionCount = std::size(dimensions), in createModel()
2500 .dimensionCount = std::size(dimensions), in TEST_F()
2518 .dimensionCount = std::size(dimensions), in TEST_F()
2550 .dimensionCount = std::size(inputDims), in TEST_F()
2555 .dimensionCount = std::size(biasDims), in TEST_F()
3099 .dimensionCount = 1, in SetUp()
3531 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in createAndCompileAddModelWithType()
3587 .dimensionCount = rank, in TEST_F()
3592 .dimensionCount = rank, in TEST_F()
3629 wrongRank.dimensionCount = badRank; in TEST_F()
3659 .dimensionCount = std::size(inoutDimensions), in createAndCompileChannelQuantConvModel()
3669 .dimensionCount = std::size(filterDimensions), in createAndCompileChannelQuantConvModel()
3679 .dimensionCount = std::size(biasDimensions), in createAndCompileChannelQuantConvModel()
3687 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in createAndCompileChannelQuantConvModel()
3879 .dimensionCount = std::size(goodDimensions), in TEST_F()
3884 .dimensionCount = std::size(badDimensions1), in TEST_F()
3889 .dimensionCount = std::size(badDimensions2), in TEST_F()