tensorlayer/layers/core.py
def count_params(self):
        """Returns the number of parameters in the network."""
        n_params = 0
        for _i, p in enumerate(self.all_params):
            n = 1
            # for s in p.eval().shape:
            for s in p.get_shape():
                try:
                    s = int(s)
                except Exception:
                    s = 1
                if s:
                    n = n * s
            n_params = n_params + n
        return n_params
def count_params(self):
        """Returns the number of parameters in the network."""
        n_params = 0
        for _i, p in enumerate(self.all_params):
            n = 1
            # for s in p.eval().shape:
            for s in p.get_shape():
                try:
                    s = int(s)
                except Exception:
                    s = 1
                if s:
                    n = n * s
            n_params = n_params + n
        return n_params
def count_params ( self ) : n_params = 0 for _i , p in enumerate ( self . all_params ) : n = 1 # for s in p.eval().shape: for s in p . get_shape ( ) : try : s = int ( s ) except Exception : s = 1 if s : n = n * s n_params = n_params + n return n_params
Returns the number of parameters in the network.
Returns the number of parameters in the network .