diff options
Diffstat (limited to 'src/backends/backendsCommon/WorkloadData.cpp')
| -rw-r--r-- | src/backends/backendsCommon/WorkloadData.cpp | 89 |
1 files changed, 66 insertions, 23 deletions
diff --git a/src/backends/backendsCommon/WorkloadData.cpp b/src/backends/backendsCommon/WorkloadData.cpp index 1d0be5d1ff..e7915dd40b 100644 --- a/src/backends/backendsCommon/WorkloadData.cpp +++ b/src/backends/backendsCommon/WorkloadData.cpp @@ -915,12 +915,12 @@ void ResizeBilinearQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) c ValidateTensorNumDimensions(workloadInfo.m_OutputTensorInfos[0], "ResizeBilinearQueueDescriptor", 4, "output"); std::vector<DataType> supportedTypes = - { - DataType::Float16, - DataType::Float32, - DataType::QuantisedAsymm8, - DataType::QuantisedSymm16 - }; + { + DataType::Float16, + DataType::Float32, + DataType::QuantisedAsymm8, + DataType::QuantisedSymm16 + }; ValidateDataTypes(workloadInfo.m_InputTensorInfos[0], supportedTypes, @@ -931,29 +931,72 @@ void ResizeBilinearQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) c "ResizeBilinearQueueDescriptor"); // Resizes bilinear only changes width and height: batch and channel count must match. + const unsigned int inputBatchSize = workloadInfo.m_InputTensorInfos[0].GetShape()[0]; + const unsigned int outputBatchSize = workloadInfo.m_OutputTensorInfos[0].GetShape()[0]; + if (inputBatchSize != outputBatchSize) { - const unsigned int inputBatchSize = workloadInfo.m_InputTensorInfos[0].GetShape()[0]; - const unsigned int outputBatchSize = workloadInfo.m_OutputTensorInfos[0].GetShape()[0]; - if (inputBatchSize != outputBatchSize) - { - throw InvalidArgumentException( - boost::str(boost::format("ResizeBilinearQueueDescriptor: Input batch size (%1%) " - "does not match output batch size (%2%)") % inputBatchSize % outputBatchSize)); - } + throw InvalidArgumentException( + boost::str(boost::format("ResizeBilinearQueueDescriptor: Input batch size (%1%) " + "does not match output batch size (%2%)") % inputBatchSize % outputBatchSize)); } + DataLayoutIndexed dimensionIndices(m_Parameters.m_DataLayout); + const unsigned int inputChannelCount = + workloadInfo.m_InputTensorInfos[0].GetShape()[dimensionIndices.GetChannelsIndex()]; + const unsigned int outputChannelCount = + workloadInfo.m_OutputTensorInfos[0].GetShape()[dimensionIndices.GetChannelsIndex()]; + if (inputChannelCount != outputChannelCount) { - DataLayoutIndexed dimensionIndices(m_Parameters.m_DataLayout); - const unsigned int inputChannelCount = + throw InvalidArgumentException( + boost::str(boost::format("ResizeBilinearQueueDescriptor: Input channel count (%1%) " + "does not match output channel count (%2%)") % inputChannelCount % outputChannelCount)); + } +} + +void ResizeQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const +{ + ValidateNumInputs(workloadInfo, "ResizeQueueDescriptor", 1); + ValidateNumOutputs(workloadInfo, "ResizeQueueDescriptor", 1); + + ValidateTensorNumDimensions(workloadInfo.m_InputTensorInfos[0], "ResizeQueueDescriptor", 4, "input"); + ValidateTensorNumDimensions(workloadInfo.m_OutputTensorInfos[0], "ResizeQueueDescriptor", 4, "output"); + + std::vector<DataType> supportedTypes = + { + DataType::Float16, + DataType::Float32, + DataType::QuantisedAsymm8, + DataType::QuantisedSymm16 + }; + + ValidateDataTypes(workloadInfo.m_InputTensorInfos[0], + supportedTypes, + "ResizeQueueDescriptor"); + + ValidateDataTypes(workloadInfo.m_OutputTensorInfos[0], + {workloadInfo.m_InputTensorInfos[0].GetDataType()}, + "ResizeQueueDescriptor"); + + // Resizes only changes width and height: batch and channel count must match. + const unsigned int inputBatchSize = workloadInfo.m_InputTensorInfos[0].GetShape()[0]; + const unsigned int outputBatchSize = workloadInfo.m_OutputTensorInfos[0].GetShape()[0]; + if (inputBatchSize != outputBatchSize) + { + throw InvalidArgumentException( + boost::str(boost::format("ResizeQueueDescriptor: Input batch size (%1%) " + "does not match output batch size (%2%)") % inputBatchSize % outputBatchSize)); + } + + DataLayoutIndexed dimensionIndices(m_Parameters.m_DataLayout); + const unsigned int inputChannelCount = workloadInfo.m_InputTensorInfos[0].GetShape()[dimensionIndices.GetChannelsIndex()]; - const unsigned int outputChannelCount = + const unsigned int outputChannelCount = workloadInfo.m_OutputTensorInfos[0].GetShape()[dimensionIndices.GetChannelsIndex()]; - if (inputChannelCount != outputChannelCount) - { - throw InvalidArgumentException( - boost::str(boost::format("ResizeBilinearQueueDescriptor: Input channel count (%1%) " - "does not match output channel count (%2%)") % inputChannelCount % outputChannelCount)); - } + if (inputChannelCount != outputChannelCount) + { + throw InvalidArgumentException( + boost::str(boost::format("ResizeQueueDescriptor: Input channel count (%1%) " + "does not match output channel count (%2%)") % inputChannelCount % outputChannelCount)); } } |