These are chat archives for dmlc/mxnet

23rd
Dec 2015
Brian C
@NOTtheMessiah
Dec 23 2015 19:56
Why does out.infer_shape(data=(1, 3, 192, 192)) work within Python, but mx.infer_shape(out,data=(1,3, 192,192)) doesn't seem to work in Julia?

this is what I'm getting:
./dmlc-core/include/dmlc/logging.h:208: [14:35:29] src/operator/./convolution-inl.h:323: Check failed: ksize_x <= dshape[3] && ksize_y <= dshape[2] kernel size exceed input
LoadError: MXNet.mx.MXError("[14:35:29] src/operator/./convolution-inl.h:323: Check failed: ksize_x <= dshape[3] && ksize_y <= dshape[2] kernel size exceed input")
while loading In[7], in expression starting on line 1

[inlined code] from ~/.julia/v0.4/MXNet/src/base.jl:57
in infer_shape#3 at ~/.julia/v0.4/MXNet/src/symbolic-node.jl:253

Brian C
@NOTtheMessiah
Dec 23 2015 21:01
I figured it out, it seems to be backwards, because mx.infer_shape(out,data=(192,192,1,3)) gets no errors