| /packages/modules/NeuralNetworks/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 | 58 .dimensionCount = dimCount, in getOpType()
84 operandType.dimensionCount != that.operandType.dimensionCount) { in operator ==()
104 operandType.dimensions + operandType.dimensionCount, in operator ==()
131 if (operandType.dimensionCount < that.operandType.dimensionCount) return true; in operator <()
187 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 | 56 .dimensionCount = 0, in createOperand()
67 .dimensionCount = 4, in createOperand()
73 .dimensionCount = 4, in createOperand()
79 .dimensionCount = 4, in createOperand()
85 .dimensionCount = 4, in createOperand()
91 .dimensionCount = 4, in createOperand()
97 .dimensionCount = 4, in createOperand()
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| D | TestValidation.cpp | 67 .type = type, .dimensionCount = 0, .dimensions = nullptr}; in addScalarOperand()
84 .dimensionCount = static_cast<uint32_t>(dimensions.size()), in addTensorOperand()
123 .dimensionCount = 1,
129 .dimensionCount = 0,
176 .dimensionCount = 1, in SetUp()
179 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in SetUp()
316 .type = ANEURALNETWORKS_INT32, .dimensionCount = 0, .dimensions = nullptr}; in addScalarOperand()
324 .dimensionCount = 1, in addTensorOperand()
402 .type = ANEURALNETWORKS_FLOAT32, .dimensionCount = 0, .dimensions = nullptr}; in TEST_F()
409 .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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| /packages/modules/NeuralNetworks/common/ |
| D | UtilsTest.cpp | 88 .dimensionCount = 0, in TEST()
110 .dimensionCount = std::size(dimensions), in TEST()
127 .dimensionCount = std::size(dimensions), in TEST()
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| D | LegacyUtils.cpp | 383 return tensorHasUnspecifiedDimensions(type->type, type->dimensions, type->dimensionCount); in tensorHasUnspecifiedDimensions()
402 NN_RET_CHECK_EQ(type.dimensionCount, 0u) << tag << " invalid dimensions for scalar type"; in validateScalarDimensions()
452 NN_RET_CHECK_GT(type.dimensionCount, 0u) << tag << " invalid operand dimensions"; in validateTensorDimensions()
459 for (uint32_t i = 0; i < type.dimensionCount; i++) { in validateTensorDimensions()
475 NN_RET_CHECK_EQ(type.dimensionCount == 0, type.dimensions == nullptr); in validateOperandTypeHelper()
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| /packages/modules/NeuralNetworks/extensions/ |
| D | README.md | 125 .dimensionCount = dimensionCount,
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| /packages/modules/NeuralNetworks/runtime/include/ |
| D | NeuralNetworksTypes.h | 6278 uint32_t dimensionCount; member
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| D | NeuralNetworksWrapperExtensions.h | 78 .dimensionCount = static_cast<uint32_t>(dimensions.size()), in dimensions()
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| D | NeuralNetworksWrapper.h | 152 .dimensionCount = static_cast<uint32_t>(dimensions.size()), in dimensions()
165 .dimensionCount = static_cast<uint32_t>(dimensions.size()), in OperandType()
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| /packages/modules/NeuralNetworks/runtime/ |
| D | ModelArgumentInfo.cpp | 118 const uint32_t count = newType->dimensionCount; in updateDimensionInfo()
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| D | Memory.cpp | 110 NN_RET_CHECK(isTensor || type->dimensionCount == 0) in validate()
113 type->dimensions + type->dimensionCount); in validate()
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| D | ExecutionBuilder.cpp | 131 if (operand.dimensions.size() != newType->dimensionCount) { in checkDimensionInfo()
133 << operand.dimensions.size() << ", new = " << newType->dimensionCount << ")"; in checkDimensionInfo()
136 for (uint32_t i = 0; i < newType->dimensionCount; i++) { in checkDimensionInfo()
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| D | ModelBuilder.cpp | 96 NN_VALIDATE_NULL_OR_SIZED("addOperand", type.dimensions, type.dimensionCount); in addOperand()
99 .dimensions = makeVector(type.dimensions, type.dimensionCount), in addOperand()
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| D | NeuralNetworks.cpp | 578 static_assert(offsetof(ANeuralNetworksOperandType, dimensionCount) == 4,
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| D | ExecutionPlan.cpp | 434 .dimensionCount = static_cast<uint32_t>(operand.dimensions.size()), in addOperand()
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| /packages/modules/NeuralNetworks/tools/api/ |
| D | NeuralNetworksTypes.t | 614 * unspecified dimensions is represented by setting dimensionCount to
620 * represented by setting dimensionCount to 0 and dimensions to NULL (just as if
634 uint32_t dimensionCount;
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| /packages/apps/TV/tuner/src/com/android/tv/tuner/data/ |
| D | SectionParser.java | 1676 int dimensionCount = data[pos + 1] & 0xff; in parseContentAdvisory() local
1679 for (int j = 0; j < dimensionCount; ++j) { in parseContentAdvisory()
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