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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Handles builtins and other special functions."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gast
from tensorflow.python.autograph.core import converter
from tensorflow.python.autograph.operators import py_builtins
from tensorflow.python.autograph.pyct import anno
from tensorflow.python.autograph.pyct import templates
class BuiltinFunctionTransformer(converter.Base):
"""Handles builtin functions.
This transformer only covers functions that are translated into a
TF equivalent, like `len`.
"""
def _convert_builtin(self, f, args, as_expression):
template = """
ag__.func(args)
"""
if as_expression:
return templates.replace_as_expression(
template, func=py_builtins.overload_of(f).__name__, args=args)
else:
return templates.replace(
template, func=py_builtins.overload_of(f).__name__, args=args)
def visit_Call(self, node):
node = self.generic_visit(node)
if anno.hasanno(node.func, 'live_val'):
live_val = anno.getanno(node.func, 'live_val')
if live_val in py_builtins.SUPPORTED_BUILTINS:
node = self._convert_builtin(live_val, node.args, as_expression=True)
return node
def visit_Print(self, node):
node = self.generic_visit(node)
args = node.values
# Following is the case when calling print(a, b)
if len(args) == 1 and isinstance(args[0], gast.Tuple):
args = args[0].elts
return self._convert_builtin(print, args, as_expression=False)
def transform(node, ctx):
return BuiltinFunctionTransformer(ctx).visit(node)
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