tensorforce/meta_parameter_recorder.py
def build_metagraph_list(self):
        """
        Convert MetaParams into TF Summary Format and create summary_op.

        Returns:
            Merged TF Op for TEXT summary elements, should only be executed once to reduce data duplication.

        """
        ops = []

        self.ignore_unknown_dtypes = True
        for key in sorted(self.meta_params):
            value = self.convert_data_to_string(self.meta_params[key])

            if len(value) == 0:
                continue
            if isinstance(value, str):
                ops.append(tf.contrib.summary.generic(name=key, tensor=tf.convert_to_tensor(str(value))))
            else:
                ops.append(tf.contrib.summary.generic(name=key, tensor=tf.as_string(tf.convert_to_tensor(value))))

        return ops
def build_metagraph_list(self):
        """
        Convert MetaParams into TF Summary Format and create summary_op.

        Returns:
            Merged TF Op for TEXT summary elements, should only be executed once to reduce data duplication.

        """
        ops = []

        self.ignore_unknown_dtypes = True
        for key in sorted(self.meta_params):
            value = self.convert_data_to_string(self.meta_params[key])

            if len(value) == 0:
                continue
            if isinstance(value, str):
                ops.append(tf.contrib.summary.generic(name=key, tensor=tf.convert_to_tensor(str(value))))
            else:
                ops.append(tf.contrib.summary.generic(name=key, tensor=tf.as_string(tf.convert_to_tensor(value))))

        return ops
def build_metagraph_list ( self ) : ops = [ ] self . ignore_unknown_dtypes = True for key in sorted ( self . meta_params ) : value = self . convert_data_to_string ( self . meta_params [ key ] ) if len ( value ) == 0 : continue if isinstance ( value , str ) : ops . append ( tf . contrib . summary . generic ( name = key , tensor = tf . convert_to_tensor ( str ( value ) ) ) ) else : ops . append ( tf . contrib . summary . generic ( name = key , tensor = tf . as_string ( tf . convert_to_tensor ( value ) ) ) ) return ops
Convert MetaParams into TF Summary Format and create summary_op.

        Returns:
            Merged TF Op for TEXT summary elements, should only be executed once to reduce data duplication.
Convert MetaParams into TF Summary Format and create summary_op .