ó ¾÷Xc@súddlmZddlmZdefd„ƒYZdefd„ƒYZdefd„ƒYZd efd „ƒYZd efd „ƒYZ d efd„ƒYZ defd„ƒYZ d„Z d„Z d„Zd„Zdd„Zed„ZdS(i(tLayer(tbackendt_MergecBsGeZdZd„Zd„Zd„Zd„Zd„Zdd„Z RS(s¬Generic merge layer for elementwise merge functions. Used to implement `Sum`, `Average`, etc. # Arguments **kwargs: standard layer keyword arguments. cKs#tt|ƒj|t|_dS(N(tsuperRt__init__tTruetsupports_masking(tselftkwargs((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyRscCs t‚dS(N(tNotImplementedError(Rtinputs((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyt_merge_functionscCsØt|tƒstdƒ‚nt|ƒdkrStdtt|ƒƒdƒ‚ntg|D]}|dk^q]ƒr|dSt|ƒ}d|kr¤|jdƒnt|ƒdkrÔtd|j d|ƒ‚ndS(Ns3A merge layer should be called on a list of inputs.isCA merge layer should be called on a list of at least 2 inputs. Got s inputs.is1Only tensors of same shape can be merged by layers Got input shapes: %s( t isinstancetlistt ValueErrortlentstrtalltNonetsettremovetname(Rt input_shapetshapetinput_shapes_set((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pytbuilds %   cCs |j|ƒS(N(R (RR ((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pytcall)scCs|dS(Ni((RR((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pytcompute_output_shape,scCsõ|dkrdSt|tƒs.tdƒ‚nt|tƒsLtdƒ‚nt|ƒt|ƒkrstdƒ‚ntg|D]}|dk^q}ƒrœdSg|D]$}|dk r£tj|dƒ^q£}tjtj|ddƒdddt ƒS(Ns`mask` should be a list.s`inputs` should be a list.s:The lists `inputs` and `mask` should have the same length.itaxistkeepdims( RR R RRRtKt expand_dimst concatenatetFalse(RR tmasktmtmasks((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyt compute_mask3s %1N( t__name__t __module__t__doc__RR RRRRR%(((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyRs     tAddcBseZdZd„ZRS(s¥Layer that adds a list of inputs. It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape). cCs<|d}x+tdt|ƒƒD]}|||7}q W|S(Nii(trangeR(RR toutputti((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyR Ks (R&R'R(R (((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyR)CstMultiplycBseZdZd„ZRS(sºLayer that multiplies (element-wise) a list of inputs. It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape). cCs<|d}x+tdt|ƒƒD]}|||9}q W|S(Nii(R*R(RR R+R,((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyR Zs (R&R'R(R (((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyR-RstAveragecBseZdZd„ZRS(s©Layer that averages a list of inputs. It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape). cCsF|d}x+tdt|ƒƒD]}|||7}q W|t|ƒS(Nii(R*R(RR R+R,((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyR is (R&R'R(R (((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyR.astMaximumcBseZdZd„ZRS(sÄLayer that computes the maximum (element-wise) a list of inputs. It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape). cCsD|d}x3tdt|ƒƒD]}tj|||ƒ}q W|S(Nii(R*RRtmaximum(RR R+R,((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyR xs (R&R'R(R (((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyR/pst ConcatenatecBsJeZdZdd„Zd„Zd„Zd„Zdd„Zd„Z RS( sKLayer that concatenates a list of inputs. It takes as input a list of tensors, all of the same shape expect for the concatenation axis, and returns a single tensor, the concatenation of all inputs. # Arguments axis: Axis along which to concatenate. **kwargs: standard layer keyword arguments. iÿÿÿÿcKs,tt|ƒj|||_t|_dS(N(RR1RRRR(RRR((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyR‹s cCsÚt|tƒstdƒ‚ntg|D]}|dk^q(ƒrGdSg|D]}t|ƒ^qN}tƒ}x?tt|ƒƒD]+}|||j=|j t ||ƒƒq‚Wt|ƒdkrÖtd|ƒ‚ndS(Ns8`Concatenate` layer should be called on a list of inputsisj`Concatenate` layer requires inputs with matching shapes except for the concat axis. Got inputs shapes: %s( R R RRRRR*RRtaddttuple(RRRtreduced_inputs_shapest shape_setR,((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyRs% cCs4t|tƒstdƒ‚ntj|d|jƒS(Ns;A `Concatenate` layer should be called on a list of inputs.R(R R RRR R(RR ((s1/tmp/pip-build-isqEY4/keras/keras/layers/merge.pyR¢scCs¤t|tƒstdƒ‚n|}t|dƒ}xc|dD]W}||jdksk||jdkr|d||js>[n