| /frameworks/ml/nn/runtime/test/ |
| D | TestValidateModel.cpp | 35 operand_0.dimensionCount = 0; in TEST_F()
41 operand_1.dimensionCount = 0; in TEST_F()
47 operand_2.dimensionCount = 4; in TEST_F()
55 operand_3.dimensionCount = 2; in TEST_F()
63 operand_4.dimensionCount = 2; in TEST_F()
71 operand_5.dimensionCount = 2; in TEST_F()
79 operand_6.dimensionCount = 1; in TEST_F()
87 operand_7.dimensionCount = 4; in TEST_F()
95 operand_8.dimensionCount = 4; in TEST_F()
103 operand_9.dimensionCount = 4; in TEST_F()
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| D | TestValidateOperations.cpp | 59 .dimensionCount = dimCount, in getOpType()
85 operandType.dimensionCount != that.operandType.dimensionCount) { in operator ==()
105 operandType.dimensions + operandType.dimensionCount, in operator ==()
132 if (operandType.dimensionCount < that.operandType.dimensionCount) return true; in operator <()
188 assert(op.operandType.dimensionCount == *mRangeMin); in MutationsWithValidRank()
223 if (operandTypeWithParams.operandType.dimensionCount == newRank) { in ModifyForRank()
236 std::min(operandTypeWithParams.operandType.dimensionCount, newRank); in ModifyForRank()
244 .dimensionCount = newRank, in ModifyForRank()
664 << "dimensionCount: " << operandType.dimensionCount << ", dimensions: ["; in operator <<()
665 std::for_each(operandType.dimensions, operandType.dimensions + operandType.dimensionCount, in operator <<()
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| D | TestOperandExtraParams.cpp | 55 .dimensionCount = 0, in createOperand()
66 .dimensionCount = 4, in createOperand()
72 .dimensionCount = 4, in createOperand()
78 .dimensionCount = 4, in createOperand()
84 .dimensionCount = 4, in createOperand()
90 .dimensionCount = 4, in createOperand()
96 .dimensionCount = 4, in createOperand()
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| D | TestValidation.cpp | 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()
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| D | TestFree.cpp | 36 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in createUnfinishedModel()
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| /frameworks/ml/nn/common/ |
| D | UtilsTest.cpp | 81 .dimensionCount = 0, in TEST()
103 .dimensionCount = std::size(dimensions), in TEST()
120 .dimensionCount = std::size(dimensions), in TEST()
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| D | Utils.cpp | 421 return tensorHasUnspecifiedDimensions(type->type, type->dimensions, type->dimensionCount); in tensorHasUnspecifiedDimensions()
512 NN_RET_CHECK_EQ(type.dimensionCount, 0u) << tag << " invalid dimensions for scalar type"; in validateScalarDimensions()
562 NN_RET_CHECK_GT(type.dimensionCount, 0u) << tag << " invalid operand dimensions"; in validateTensorDimensions()
569 for (uint32_t i = 0; i < type.dimensionCount; i++) { in validateTensorDimensions()
585 NN_RET_CHECK_EQ(type.dimensionCount == 0, type.dimensions == nullptr); in validateOperandTypeHelper()
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| /frameworks/ml/nn/runtime/ |
| D | ModelArgumentInfo.cpp | 100 const uint32_t count = newType->dimensionCount; in updateDimensionInfo()
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| D | Memory.cpp | 113 NN_RET_CHECK(isTensor || type->dimensionCount == 0) in validate()
116 type->dimensions + type->dimensionCount); in validate()
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| D | ExecutionBuilder.cpp | 72 if (operand.dimensions.size() != newType->dimensionCount) { in checkDimensionInfo()
76 for (uint32_t i = 0; i < newType->dimensionCount; i++) { in checkDimensionInfo()
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| D | ModelBuilder.cpp | 95 hidl_vec<uint32_t>(type.dimensions, type.dimensions + type.dimensionCount), in addOperand()
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| D | NeuralNetworks.cpp | 572 static_assert(offsetof(ANeuralNetworksOperandType, dimensionCount) == 4,
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| /frameworks/ml/nn/runtime/include/ |
| D | NeuralNetworksWrapperExtensions.h | 76 .dimensionCount = static_cast<uint32_t>(dimensions.size()), in dimensions()
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| D | NeuralNetworksWrapper.h | 135 .dimensionCount = static_cast<uint32_t>(dimensions.size()), in dimensions()
148 .dimensionCount = static_cast<uint32_t>(dimensions.size()), in OperandType()
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| D | NeuralNetworks.h | 6223 uint32_t dimensionCount; member
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| /frameworks/ml/nn/extensions/ |
| D | README.md | 125 .dimensionCount = dimensionCount,
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| /frameworks/ml/nn/tools/api/ |
| D | NeuralNetworks.t | 629 * unspecified dimensions is represented by setting dimensionCount to
635 * represented by setting dimensionCount to 0 and dimensions to NULL (just as if
649 uint32_t dimensionCount;
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