Lines Matching refs:dimensionCount
63 .type = type, .dimensionCount = 0, .dimensions = nullptr}; in addScalarOperand()
80 .dimensionCount = static_cast<uint32_t>(dimensions.size()), in addTensorOperand()
119 .dimensionCount = 1,
125 .dimensionCount = 0,
172 .dimensionCount = 1, in SetUp()
175 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in SetUp()
312 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in addScalarOperand()
320 .dimensionCount = 1, in addTensorOperand()
396 .type = ANEURALNETWORKS_FLOAT32, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
403 .dimensionCount = 0, in TEST_F()
414 .dimensionCount = 0, in TEST_F()
427 .dimensionCount = 1, in TEST_F()
528 .dimensionCount = 2, in TEST_F()
540 .dimensionCount = 0, in TEST_F()
553 .dimensionCount = std::size(dimensions), in TEST_F()
563 .type = ANEURALNETWORKS_FLOAT32, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
572 .type = ANEURALNETWORKS_FLOAT32, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
602 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
654 .dimensionCount = 1, in TEST_F()
687 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
725 .dimensionCount = std::size(dimensions), in TEST_F()
775 .type = ANEURALNETWORKS_OEM_SCALAR, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
784 .type = ANEURALNETWORKS_TENSOR_OEM_BYTE, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
948 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
950 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
995 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
1015 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
1036 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
1054 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
1056 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
1723 .dimensionCount = 1, in TEST_F()
1759 .dimensionCount = 1, in TEST_F()
1928 .dimensionCount = std::size(dimensions), in createModel()
1943 .dimensionCount = std::size(dimensions), in TEST_F()
1961 .dimensionCount = std::size(dimensions), in TEST_F()
1993 .dimensionCount = std::size(inputDims), in TEST_F()
1998 .dimensionCount = std::size(biasDims), in TEST_F()
2530 .dimensionCount = 1, in SetUp()
2939 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in createAndCompileAddModelWithType()
2995 .dimensionCount = rank, in TEST_F()
3000 .dimensionCount = rank, in TEST_F()
3037 wrongRank.dimensionCount = badRank; in TEST_F()
3067 .dimensionCount = std::size(inoutDimensions), in createAndCompileChannelQuantConvModel()
3077 .dimensionCount = std::size(filterDimensions), in createAndCompileChannelQuantConvModel()
3087 .dimensionCount = std::size(biasDimensions), in createAndCompileChannelQuantConvModel()
3095 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in createAndCompileChannelQuantConvModel()
3247 .dimensionCount = std::size(goodDimensions), in TEST_F()
3252 .dimensionCount = std::size(badDimensions1), in TEST_F()
3257 .dimensionCount = std::size(badDimensions2), in TEST_F()