zoo/shufflenet/shufflenet_c.py
def group(self, x, **metaparameters):
        ''' Construct a Shuffle Group 
            x           : input to the group
            n_partitions: number of groups to partition feature maps (channels) into.
            n_blocks    : number of shuffle blocks for this group
        '''
        n_blocks     = metaparameters['n_blocks']
            
        # first block is a strided shuffle block
        x = self.strided_shuffle_block(x, **metaparameters)
    
        # remaining shuffle blocks in group
        for _ in range(n_blocks-1):
            x = self.shuffle_block(x, **metaparameters)
        return x
 Construct a Shuffle Group 
            x           : input to the group
            n_partitions: number of groups to partition feature maps (channels) into.
            n_blocks    : number of shuffle blocks for this group
        
Construct a Shuffle Group
x           : input to the group
n_partitions: number of groups to partition feature maps (channels) into.
n_blocks    : number of shuffle blocks for this group
Construct a Shuffle Group x : input to the group n_partitions : number of groups to partition feature maps ( channels ) into . n_blocks : number of shuffle blocks for this group
def group(self, x, **metaparameters):
        n_blocks     = metaparameters['n_blocks']
        x = self.strided_shuffle_block(x, **metaparameters)
        for _ in range(n_blocks-1):
            x = self.shuffle_block(x, **metaparameters)
        return x
def group ( self , x , ** metaparameters ) : n_blocks = metaparameters [ 'n_blocks' ] x = self . strided_shuffle_block ( x , ** metaparameters ) for _ in range ( n_blocks - 1 ) : x = self . shuffle_block ( x , ** metaparameters ) return x
Construct a Shuffle Group
x           : input to the group
n_partitions: number of groups to partition feature maps (channels) into.
Construct a Shuffle Group x : input to the group n_partitions : number of groups to partition feature maps ( channels ) into .
''' Construct a Shuffle Group 
            x           : input to the group
            n_partitions: number of groups to partition feature maps (channels) into.
            n_blocks    : number of shuffle blocks for this group
        ''' # first block is a strided shuffle block # remaining shuffle blocks in group
self
x