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TI Deep Learning Product User Guide
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This structure define the parameters of data or kernel buffer used by TIDL layers (In,Out)
Data Fields | |
| int32_t | dataId |
| int32_t | elementType |
| int32_t | numDim |
| int32_t | dataQ |
| int32_t | minValue |
| int32_t | maxValue |
| float32_tidl | minTensorValue |
| float32_tidl | maxTensorValue |
| float32_tidl | tensorScale |
| int32_t | tensorZeroPoint |
| int32_t | tensorType |
| int32_t | padW |
| int32_t | padH |
| int32_t | batchPadW |
| int32_t | batchPadH |
| int32_t | numBatchW |
| int32_t | numBatchH |
| int32_t | roundBits |
| int32_t | pitch [TIDL_DIM_MAX-1U] |
| int32_t | dimValues [TIDL_DIM_MAX] |
| int32_t sTIDL_DataParams_t::dataId |
Unique Data ID for the tensor holding feature vector
| int32_t sTIDL_DataParams_t::elementType |
Element type of the feature vector as defined in eTIDL_ElementType
| int32_t sTIDL_DataParams_t::numDim |
Number of dimensions supported by the tensor
| int32_t sTIDL_DataParams_t::dataQ |
Q factor used for fixed point : NOT used now
| int32_t sTIDL_DataParams_t::minValue |
Minimum value of Accumulator in fixed point : NOT used now
| int32_t sTIDL_DataParams_t::maxValue |
Maximum value of Accumulator in fixed point : NOT used now
| float32_tidl sTIDL_DataParams_t::minTensorValue |
Minimum value of Accumulator in floating point
| float32_tidl sTIDL_DataParams_t::maxTensorValue |
Maximum value of Accumulator in floating point
| float32_tidl sTIDL_DataParams_t::tensorScale |
Scale value applied on the tensor for final fixed point
| int32_t sTIDL_DataParams_t::tensorZeroPoint |
Zero point value used in conjunction with the tensor scale to quantize/dequantize tensors
| int32_t sTIDL_DataParams_t::tensorType |
Is the tensor symmetric (zero point = 0) or asymmetric
| int32_t sTIDL_DataParams_t::padW |
Horizontal Padding
| int32_t sTIDL_DataParams_t::padH |
Vertical Padding
| int32_t sTIDL_DataParams_t::batchPadW |
Padding between horizontal Batches in stitched image
| int32_t sTIDL_DataParams_t::batchPadH |
Padding between vertical Batches in the stitched image
| int32_t sTIDL_DataParams_t::numBatchW |
Number of Batches stitched in the width direction for batch processing
| int32_t sTIDL_DataParams_t::numBatchH |
Number of Batches stitched in the height direction for batch processing
| int32_t sTIDL_DataParams_t::roundBits |
Rounding bit used while converting to small bit depth (8 or 16 bit)
| int32_t sTIDL_DataParams_t::pitch[TIDL_DIM_MAX-1U] |
Pitch for each dimension as defined by eTIDL_PitchDimIndex
| int32_t sTIDL_DataParams_t::dimValues[TIDL_DIM_MAX] |
Values of dimensions as defined by eTIDL_DataDimIndex