ó ¾÷Xc@srddlmZddlZddlmZd„Zd„Zd„Z d„Z d d „Z d „Z d „Z dS( iÿÿÿÿ(trangeNi(tbackendcCs4t|tƒr|f|Syt|ƒ}Wn=tk ritd|dt|ƒdt|ƒƒ‚nXt|ƒ|kr«td|dt|ƒdt|ƒƒ‚nx‚|D]z}yt|ƒWq²tk r+td|dt|ƒdt|ƒdt|ƒddtt|ƒƒƒ‚q²Xq²W|S(sTransforms a single int or iterable of ints into an int tuple. # Arguments value: The value to validate and convert. Could an int, or any iterable of ints. n: The size of the tuple to be returned. name: The name of the argument being validated, e.g. "strides" or "kernel_size". This is only used to format error messages. # Returns A tuple of n integers. # Raises ValueError: If something else than an int/long or iterable thereof was passed. sThe `s` argument must be a tuple of s integers. Received: s including element s of typet (t isinstancetintttuplet TypeErrort ValueErrortstrtlenttype(tvaluetntnamet value_tuplet single_value((s5/tmp/pip-build-isqEY4/keras/keras/utils/conv_utils.pytnormalize_tuples"  -,  WcCsV|dkrtjƒ}n|jƒ}|ddhkrRtdt|ƒƒ‚n|S(Ntchannels_firstt channels_lastsWThe `data_format` argument must be one of "channels_first", "channels_last". Received: (tNonetKtimage_data_formattlowerRR(R t data_format((s5/tmp/pip-build-isqEY4/keras/keras/utils/conv_utils.pytnormalize_data_format-s  cCsf|jƒ}dddh}tjƒdkr=|jdƒn||krbtdt|ƒƒ‚n|S(NtvalidtsametcausalttheanotfullsZThe `padding` argument must be one of "valid", "same" (or "causal" for Conv1D). Received: (RRRtaddRR(R tpaddingtallowed((s5/tmp/pip-build-isqEY4/keras/keras/utils/conv_utils.pytnormalize_padding8s  cCs›d|jkodkns4td|jƒ‚ngt|jƒD]}tdddƒ^qD}tddƒtddƒf}||d)tj||ƒS(sWConverts a Numpy kernel matrix from Theano format to TensorFlow format. Also works reciprocally, since the transformation is its own inverse. # Arguments kernel: Numpy array (4D or 5D). # Returns The converted kernel. # Raises ValueError: in case of invalid kernel shape or invalid data_format. iisInvalid kernel shape:iÿÿÿÿiþÿÿÿN(tndimRtshapeRtsliceRtnptcopy(tkernelt_tslicestno_flip((s5/tmp/pip-build-isqEY4/keras/keras/utils/conv_utils.pytconvert_kernelCs . icCs¸|dkrdS|ddddhks.t‚||d|d}|dkrY|}nO|dkrv||d}n2|dkr‹|}n|dkr¨||d}n||d|S(s8Determines output length of a convolution given input length. # Arguments input_length: integer. filter_size: integer. padding: one of "same", "valid", "full". stride: integer. dilation: dilation rate, integer. # Returns The output length (integer). RRRRiN(RtAssertionError(t input_lengtht filter_sizeRtstridetdilationtdilated_filter_sizet output_length((s5/tmp/pip-build-isqEY4/keras/keras/utils/conv_utils.pytconv_output_lengthYs       cCsŠ|dkrdS|dddhks+t‚|dkrD|d}n.|dkrYd}n|dkrr|d}n|d|d||S(sDetermines input length of a convolution given output length. # Arguments output_length: integer. filter_size: integer. padding: one of "same", "valid", "full". stride: integer. # Returns The input length (integer). RRRiiiN(RR,(R2R.RR/tpad((s5/tmp/pip-build-isqEY4/keras/keras/utils/conv_utils.pytconv_input_lengthvs       cCs||dkrdS|dkr:||t||dƒ}n>|dkr_||||d}n|dkrx||}n|S(NRiRiR(Rtmax(tdim_sizet stride_sizet kernel_sizeR((s5/tmp/pip-build-isqEY4/keras/keras/utils/conv_utils.pyt deconv_lengthŽs     (t six.movesRtnumpyR%tRRRRR!R+R3R5R:(((s5/tmp/pip-build-isqEY4/keras/keras/utils/conv_utils.pyts  '