| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | Reverse.cpp | 45 NN_RET_CHECK_GE(inputTensorRank, 1U); in prepare()
53 NN_RET_CHECK_GE(axisDimension, 0); in prepare()
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| D | Pooling.cpp | 91 NN_RET_CHECK_GE(padding_left, 0); in initialize()
92 NN_RET_CHECK_GE(padding_right, 0); in initialize()
93 NN_RET_CHECK_GE(padding_top, 0); in initialize()
94 NN_RET_CHECK_GE(padding_bottom, 0); in initialize()
99 NN_RET_CHECK_GE(activation, 0); in initialize()
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| D | Pack.cpp | 46 NN_RET_CHECK_GE(firstInputTensorRank, 1U); in prepare()
57 NN_RET_CHECK_GE(axisDimension, 0); in prepare()
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| D | LocalResponseNormalization.cpp | 139 NN_RET_CHECK_GE(axis, -numDimensions); in prepare()
142 NN_RET_CHECK_GE(radius, 0); in prepare()
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| D | MirrorPad.cpp | 61 NN_RET_CHECK_GE(beforePadding, 0); in prepare()
64 NN_RET_CHECK_GE(afterPadding, 0); in prepare()
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| D | RoiAlign.cpp | 76 NN_RET_CHECK_GE(batchId, 0u); in roiAlignNhwc()
208 NN_RET_CHECK_GE(batchId, 0u); in roiAlignQuantNhwc()
370 NN_RET_CHECK_GE(heightSamplingRatio, 0); in prepare()
371 NN_RET_CHECK_GE(widthSamplingRatio, 0); in prepare()
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| D | DepthwiseConv2D.cpp | 104 NN_RET_CHECK_GE(padding_left, 0); in initialize()
105 NN_RET_CHECK_GE(padding_right, 0); in initialize()
106 NN_RET_CHECK_GE(padding_top, 0); in initialize()
107 NN_RET_CHECK_GE(padding_bottom, 0); in initialize()
113 NN_RET_CHECK_GE(activation, 0); in initialize()
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| D | Concatenation.cpp | 147 NN_RET_CHECK_GE(numInputs, 2u); in prepare()
151 NN_RET_CHECK_GE(axis, 0); in prepare()
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| D | Conv2D.cpp | 117 NN_RET_CHECK_GE(padding_left, 0); in initialize()
118 NN_RET_CHECK_GE(padding_right, 0); in initialize()
119 NN_RET_CHECK_GE(padding_top, 0); in initialize()
120 NN_RET_CHECK_GE(padding_bottom, 0); in initialize()
125 NN_RET_CHECK_GE(activation, 0); in initialize()
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| D | TransposeConv2D.cpp | 96 NN_RET_CHECK_GE(paddingLeft, 0); in initialize()
97 NN_RET_CHECK_GE(paddingTop, 0); in initialize()
100 NN_RET_CHECK_GE(activation, 0); in initialize()
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| D | Slice.cpp | 102 NN_RET_CHECK_GE(sliceSize, 0); in prepare()
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| D | BatchMatmul.cpp | 209 NN_RET_CHECK_GE(getNumberOfDimensions(inputLHSTensorShape), 2u) in prepare()
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| D | L2Normalization.cpp | 208 NN_RET_CHECK_GE(axis, -numDimensions); in prepare()
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| D | RoiPooling.cpp | 70 NN_RET_CHECK_GE(batchId, 0u); in roiPoolingNhwc()
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| D | GenerateProposals.cpp | 83 NN_RET_CHECK_GE(batchIndex, 0u); in bboxTransformFloat32()
1422 NN_RET_CHECK_GE(context->getInputValue<float>(kScoreThresholdScalar), 0); in prepare()
1423 NN_RET_CHECK_GE(context->getInputValue<float>(kIoUThresholdScalar), 0); in prepare()
1435 NN_RET_CHECK_GE(lengthBoxEncoding, 4u); in prepare()
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| D | HeatmapMaxKeypoint.cpp | 234 NN_RET_CHECK_GE(heatmapSize, 2u); in prepare()
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| /packages/modules/NeuralNetworks/common/types/operations/src/ |
| D | Densify.cpp | 29 NN_RET_CHECK_GE(inputCount, kMinNumInputs); in validate()
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| D | Concatenation.cpp | 29 NN_RET_CHECK_GE(inputCount, 2u); in validate()
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| D | Pack.cpp | 25 NN_RET_CHECK_GE(context->getNumInputs(), kMinNumInputs); in validate()
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| D | FullyConnected.cpp | 38 NN_RET_CHECK_GE(getNumberOfDimensions(input), 2u); in validateShapes()
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| /packages/modules/NeuralNetworks/common/ |
| D | QuantUtils.h | 84 NN_RET_CHECK_GE(input, 0); in GetInvSqrtQuantizedMultiplierExp()
106 NN_RET_CHECK_GE(input, (1 << 27)); in GetInvSqrtQuantizedMultiplierExp()
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| D | LegacyUtils.cpp | 590 NN_RET_CHECK_GE(inputCount, 3u) << "ANEURALNETWORKS_IF must have at least 3 inputs"; in validateIfOperation()
591 NN_RET_CHECK_GE(outputCount, 1u) << "ANEURALNETWORKS_IF must have at least 1 output"; in validateIfOperation()
642 NN_RET_CHECK_GE(inputCount, 3u) << "ANEURALNETWORKS_WHILE must have at least 3 inputs"; in validateWhileOperation()
643 NN_RET_CHECK_GE(outputCount, 1u) << "ANEURALNETWORKS_WHILE must have at least 1 output"; in validateWhileOperation()
668 NN_RET_CHECK_GE(bodyModelOutputCount, outputCount); in validateWhileOperation()
669 NN_RET_CHECK_GE(bodyModelInputCount, bodyModelOutputCount); in validateWhileOperation()
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| /packages/modules/NeuralNetworks/common/types/src/ |
| D | Validation.cpp | 492 NN_RET_CHECK_GE(operand.scale, 0.0f) in validateOperandScale()
1113 NN_RET_CHECK_GE(optionalTimePoint->time_since_epoch().count(), 0); in validateOptionalTimePoint()
1121 NN_RET_CHECK_GE(optionalTimeoutDuration->count(), 0); in validateOptionalTimeoutDuration()
1138 NN_RET_CHECK_GE(syncFence.getFd(), 0); in validateSyncFence()
1600 NN_RET_CHECK_GE(inputs.size(), 3u) << "IF must have at least 3 inputs"; in validateIfOperation()
1601 NN_RET_CHECK_GE(outputs.size(), 1u) << "IF must have at least 1 output"; in validateIfOperation()
1662 NN_RET_CHECK_GE(inputs.size(), 3u) << "WHILE must have at least 3 inputs"; in validateWhileOperation()
1663 NN_RET_CHECK_GE(outputs.size(), 1u) << "WHILE must have at least 1 output"; in validateWhileOperation()
1697 NN_RET_CHECK_GE(bodyModelOutputCount, outputs.size()); in validateWhileOperation()
1698 NN_RET_CHECK_GE(bodyModelInputCount, bodyModelOutputCount); in validateWhileOperation()
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| /packages/modules/NeuralNetworks/runtime/test/fibonacci_extension/ |
| D | FibonacciDriver.cpp | 87 NN_RET_CHECK_GE(n, 1); in prepare()
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| /packages/modules/NeuralNetworks/tools/test_generator/test_harness/ |
| D | TestUtils.cpp | 73 NN_RET_CHECK_GE(operand.data.size(), sizeof(uint32_t)); in createOperand()
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