| /packages/modules/NeuralNetworks/common/operations/ |
| D | Reduce.cpp | 85 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validateProdSum()
108 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validateMaxMin()
124 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validateLogical()
133 NN_RET_CHECK_LE(inputRank, 4); in prepare()
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| D | Squeeze.cpp | 64 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validate()
80 NN_RET_CHECK_LE(getNumberOfDimensions(inputShape), 4); in prepare()
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| D | Dequantize.cpp | 87 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validate()
108 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in prepare()
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| D | Transpose.cpp | 94 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validate()
123 NN_RET_CHECK_LE(numInputDims, 4); in prepare()
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| D | Elementwise.cpp | 122 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validateFloor()
138 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in prepareFloor()
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| D | Slice.cpp | 134 NN_RET_CHECK_LE(beginData[i], getSizeOfDimension(inputShape, i)); in prepare()
136 NN_RET_CHECK_LE(sliceBegin + sliceSize, getSizeOfDimension(inputShape, i)); in prepare()
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| D | LocalResponseNormalization.cpp | 175 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validate()
189 NN_RET_CHECK_LE(numDimensions, 4); in prepare()
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| D | Concatenation.cpp | 173 NN_RET_CHECK_LE(inputRank, 4); in validate()
190 NN_RET_CHECK_LE(numDimensions, 4); in prepare()
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| D | Broadcast.cpp | 476 NN_RET_CHECK_LE(getNumberOfDimensions(input1), 4); in validate()
477 NN_RET_CHECK_LE(getNumberOfDimensions(input2), 4); in validate()
489 NN_RET_CHECK_LE(getNumberOfDimensions(input1), 4); in prepare()
490 NN_RET_CHECK_LE(getNumberOfDimensions(input2), 4); in prepare()
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| D | L2Normalization.cpp | 229 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validate()
243 NN_RET_CHECK_LE(numDimensions, 4); in prepare()
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| D | Softmax.cpp | 256 NN_RET_CHECK_LE(inputRank, 4); in validate()
277 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in prepare()
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| D | HeatmapMaxKeypoint.cpp | 107 NN_RET_CHECK_LE(boxInfoBase[0], boxInfoBase[2]); in heatmapMaxKeypointFloat32Nhwc()
108 NN_RET_CHECK_LE(boxInfoBase[1], boxInfoBase[3]); in heatmapMaxKeypointFloat32Nhwc()
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| D | TopK_V2.cpp | 99 NN_RET_CHECK_LE(k, inputShape.dimensions.back()); in prepare()
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| D | ChannelShuffle.cpp | 71 NN_RET_CHECK_LE(getNumberOfDimensions(inputShape), 4); in validate()
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| D | Gather.cpp | 50 NN_RET_CHECK_LE(0u, inputIndex); in eval()
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| D | RoiAlign.cpp | 226 NN_RET_CHECK_LE(wRoiStart, wRoiEnd); in roiAlignQuantNhwc()
227 NN_RET_CHECK_LE(hRoiStart, hRoiEnd); in roiAlignQuantNhwc()
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| D | Activation.cpp | 384 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validate()
412 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in prepare()
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| D | StridedSlice.cpp | 135 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validate()
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| D | FullyConnected.cpp | 199 NN_RET_CHECK_LE(getNumberOfDimensions(input), 4); in validateShapes()
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| D | GenerateProposals.cpp | 82 NN_RET_CHECK_LE(roiBase[0], roiBase[2]); in bboxTransformFloat32()
83 NN_RET_CHECK_LE(roiBase[1], roiBase[3]); in bboxTransformFloat32()
529 NN_RET_CHECK_LE(roi[0], roi[2]); in boxWithNmsLimitFloat32Compute()
530 NN_RET_CHECK_LE(roi[1], roi[3]); in boxWithNmsLimitFloat32Compute()
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| /packages/modules/NeuralNetworks/common/ |
| D | AidlValidateHal.cpp | 60 NN_RET_CHECK_LE(role.probability, 1.0f); in validateMemoryDesc()
74 NN_RET_CHECK_LE(role.probability, 1.0f); in validateMemoryDesc()
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| D | ValidateHal.cpp | 891 NN_RET_CHECK_LE(role.frequency, 1.0f); in validateMemoryDesc()
905 NN_RET_CHECK_LE(role.frequency, 1.0f); in validateMemoryDesc()
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| D | OperationsUtils.cpp | 188 NN_RET_CHECK_LE(q_fixed, std::numeric_limits<int32_t>::max()); in QuantizeMultiplier()
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| /packages/modules/NeuralNetworks/runtime/ |
| D | TypeManager.cpp | 219 NN_RET_CHECK_LE(mPrefixToExtension.size(), kMaxPrefix) << "Too many extensions in use"; in getExtensionPrefix()
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| /packages/modules/NeuralNetworks/common/include/nnapi/ |
| D | TypeUtils.h | 212 #define NN_RET_CHECK_LE(x, y) NN_RET_CHECK_OP(x, y, <=) macro
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