Optimze copy tensor with padding #32461
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yeonbok
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Tensor layout related properties are calculated once and used those cached values during per element offset calculation. This brings ~200x improvement in wait time between two queries for PhiSlica model. That means a user has to wait only for 0.36 sec (instead of 74 sec !!!) between two queries. These numbers are from LNL. JIRA: https://jira.devtools.intel.com/browse/CVS-174810
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| for (int64_t y = 0; y < size.spatial[1]; y++) { | ||
| for (int64_t x = 0; x < size.spatial[0]; x++) { | ||
| *dst++ = static_cast<dst_t>(src[layout.get_linear_offset(cldnn::tensor(b, f, x, y, z, w))]); | ||
| void convert_and_copy_padded_source(const src_t* src, dst_t* dst, layout& layout) { |
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This only works for plain format. So please apply it for plain format only. For other (e.g., blocked) formats, please use original method.
Used vector instread of array while getting axes map from format.hpp
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Tensor layout related properties are calculated once and used those
cached values during per element offset calculation. This brings ~200x improvement in wait time between two queries for PhiSlica model. That means a user has to wait only for 0.36 sec (instead of 74 sec !!!) between two queries. These numbers are from LNL.
JIRA: https://jira.devtools.intel.com/browse/CVS-174810