/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() [all …]
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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() 224 if (operandTypeWithParams.operandType.dimensionCount == newRank) { in ModifyForRank() 237 std::min(operandTypeWithParams.operandType.dimensionCount, newRank); in ModifyForRank() 245 .dimensionCount = newRank, in ModifyForRank() 665 << "dimensionCount: " << operandType.dimensionCount << ", dimensions: ["; in operator <<() 666 std::for_each(operandType.dimensions, operandType.dimensions + operandType.dimensionCount, in operator <<() [all …]
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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() [all …]
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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 | 70 if (operand.dimensions.size() != newType->dimensionCount) { in checkDimensionInfo() 74 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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D | ExecutionPlan.cpp | 215 .dimensionCount = static_cast<uint32_t>(operand.dimensions.size()), in addOperand()
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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 | 136 .dimensionCount = static_cast<uint32_t>(dimensions.size()), in dimensions() 149 .dimensionCount = static_cast<uint32_t>(dimensions.size()), in OperandType()
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D | NeuralNetworks.h | 6224 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 | 630 * unspecified dimensions is represented by setting dimensionCount to 636 * represented by setting dimensionCount to 0 and dimensions to NULL (just as if 650 uint32_t dimensionCount;
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