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Improve python wrapper #311
Commits on May 14, 2014
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make python wrapper mean match binaryproto dimensions
ilsvrc_2012_mean.npy has dims K x H x W. Code written for the old D x D x K mean needs to be rewritten!
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Do forward pass by prefilled or packaging input + output blobs and returning a {output blob name: output list} dict.
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Commits on May 15, 2014
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don't squeeze blob arrays for python
Preserve the non-batch dimensions of blob arrays, even for singletons. The forward() and backward() helpers take lists of ndarrays instead of a single ndarray per blob, and lists of ndarrays are likewise returned. Note that for output the blob array could actually be returned as a single ndarray instead of a list.
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Commits on May 16, 2014
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take blob args as ndarrays and assign on the python side
Take blob args and give blob returns as single ndarrays instead of lists of arrays. Assign the net blobs and diffs as needed on the python side, which reduces copies and simplifies the C++ side of the wrapper. Thanks @longjon for the suggestion.
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drop cute names in favor of Net.{pre,de}process() for input formatting
...and refer to inputs as inputs and not images since general vectors and matrices are perfectly fine.
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Commits on May 20, 2014
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split drawnet into module code and script
Don't run scripts in the module dir to avoid import collisions between io and caffe.io.
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preprocess single inputs instead of lists
For compositionality and expectations.
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