update #22
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update #22
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… list; Add dimensions to graph output; Add detailed table of network layers; Add summarized table
fix summarization bug (detailed table modified)
recognizes data>transform_param>crop_size as input-size param moved calculated parameters/dimensions to node.analysis instead of node.dim added LRN, INNERPRODUCT, BATCHNORM, FLATTEN layers Convolution parameters separate for W, H (stride, size, ...) Comp.Complexity / Memory Req. still missing!
highlight color for LRN nodes
update javascript (fully-connected output dimensions)
clean up NiN prototxt
add computational complexity + memory requirements add TOTAL row in summary table pretty-print large numbers
… gh-pages # Conflicts: # quickstart.html
add dynamic page title join batchnorm/relu to inline in inceptionv3
Add FCN-16s prototxt (fixed up for net. Need name=top in names!)
fix FCN-16s net (false implicit layers removed)
add zynqnet to presets
Add support for batch > 1 Add support for permute, rpn.proposal_layer, roipooling + priorbox layers
assumed to be 1 MACC per input pixel...
* take group into consideration for convolution When there is a group parameter, the MACC and number of params were wrong. * support dilation as well
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update |
Contributor
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Hi @dgschwend, could you please provide any description for your changes? |
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Hi @RuslanIsrafilov! My fork contains code for CNN network analysis (computational complexity, memory requirements for each layer). However, I did not open this pull request — I think there is no need to pull any changes back to the original netscope repo. @dreadlord1984, what‘s your intention with this PR? |
* Add prelu and elu support * Recompile coffe files
* Add Input data layer * Recompile coffee scripts
* add support for relu6 * fix relu6
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