def _remover_wrapper(self, f, remove_decorators):
namespace = {
'self_removing_decorator': self_removing_decorator,
'simple_decorator': simple_decorator
}
node = self.parse_and_analyze(f, namespace)
node, _ = decorators.transform(node, remove_decorators=remove_decorators)
result, _ = compiler.ast_to_object(node)
return getattr(result, f.__name__)
def _remover_wrapper(self, f, remove_decorators):
namespace = {
'self_removing_decorator': self_removing_decorator,
'simple_decorator': simple_decorator
}
node = self.parse_and_analyze(f, namespace)
node, _ = decorators.transform(node, remove_decorators=remove_decorators)
result, _ = compiler.ast_to_object(node)
return getattr(result, f.__name__)
def test_noop(self):
def test_fn(a):
return a
node = self.parse_and_analyze(test_fn, {})
node, deps = decorators.transform(node, remove_decorators=())
result, _ = compiler.ast_to_object(node)
self.assertFalse(deps)
self.assertEqual(1, result.test_fn(1))
def test_noop(self):
def test_fn(a):
return a
node = self.parse_and_analyze(test_fn, {})
node = decorators.transform(node, self.ctx)
result, _ = compiler.ast_to_object(node)
self.assertEqual(1, result.test_fn(1))
def test_noop(self):
def test_fn(a):
return a
node = self.parse_and_analyze(test_fn, {})
node, deps = decorators.transform(node, remove_decorators=())
result, _ = compiler.ast_to_object(node)
self.assertFalse(deps)
self.assertEqual(1, result.test_fn(1))
def _transform(self, f, autograph_decorators):
namespace = {
'self_transform_decorator': self_transform_decorator,
'simple_decorator': simple_decorator,
'converter_testing': converter_testing,
}
node, ctx = self.prepare(
f,
namespace,
recursive=False,
autograph_decorators=autograph_decorators)
node = decorators.transform(node, ctx)
import_line = '\n'.join(ctx.program.additional_imports)
result, _ = compiler.ast_to_object(node, source_prefix=import_line)
return getattr(result, f.__name__)
def node_to_graph(node, ctx, nocompile_decorators):
"""Convert Python code to equivalent TF graph mode code.
Args:
node: A Python AST node representing the code to convert.
ctx: An EntityContext object.
nocompile_decorators: A tuple containing decorators to be stripped from
functions during conversion.
Returns:
A tuple (node, deps):
* node: A Python ast node, representing the converted code.
* deps: A set of strings, the fully qualified names of entity
dependencies that this node has.
"""
# TODO(mdan): Verify arguments for correctness.
# TODO(mdan): Factor out common elements.
# These include:
# * code move between blocks
# * visiting blocks in transformers
# Certain steps, especially canonicalization, insert new symbols into the
# tree, which must be accounted. Although less efficient, it is most robust
# to re-run the analysis.
node = _static_analysis_pass(node, ctx)
# TODO(mdan): Clean this up.
# Some intermediate analyses are not required, and some comments got orphaned.
# Past this point, line numbers are no longer accurate so we ignore the
# source.
# TODO(mdan): Is it feasible to reconstruct intermediate source code?
ctx.source_code = None
node = ifexp.transform(node, ctx)
node, deps = decorators.transform(node, nocompile_decorators)
node = break_statements.transform(node, ctx)
node = asserts.transform(node, ctx)
# Note: sequencing continue canonicalization before for loop one avoids
# dealing with the extra loop increment operation that the for
# canonicalization creates.
node = continue_statements.transform(node, ctx)
ctx.namespace['len'] = len
node = _static_analysis_pass(node, ctx)
node = single_return.transform(node, ctx)
node = _static_analysis_pass(node, ctx)
node = lists.transform(node, ctx)
node = builtin_functions.transform(node, ctx)
node = _static_analysis_pass(node, ctx)
node = call_trees.transform(node, ctx, config.DEFAULT_UNCOMPILED_MODULES,
nocompile_decorators)
node = control_flow.transform(node, ctx)
# control_flow may create new symbols and change scopes.
node = _static_analysis_pass(node, ctx)
node = logical_expressions.transform(node, ctx)
node = side_effect_guards.transform(node, ctx)
node = name_scopes.transform(node, ctx)
return node, deps
def node_to_graph(node, ctx, nocompile_decorators):
"""Convert Python code to equivalent TF graph mode code.
Args:
node: A Python AST node representing the code to convert.
ctx: An EntityContext object.
nocompile_decorators: A tuple containing decorators to be stripped from
functions during conversion.
Returns:
A tuple (node, deps):
* node: A Python ast node, representing the converted code.
* deps: A set of strings, the fully qualified names of entity
dependencies that this node has.
"""
# TODO(mdan): Verify arguments for correctness.
# TODO(mdan): Factor out common elements.
# These include:
# * code move between blocks
# * visiting blocks in transformers
# Certain steps, especially canonicalization, insert new symbols into the
# tree, which must be accounted. Although less efficient, it is most robust
# to re-run the analysis.
node = _static_analysis_pass(node, ctx)
# TODO(mdan): Clean this up.
# Some intermediate analyses are not required, and some comments got orphaned.
# Past this point, line numbers are no longer accurate so we ignore the
# source.
# TODO(mdan): Is it feasible to reconstruct intermediate source code?
ctx.source_code = None
node = ifexp.transform(node, ctx)
node, deps = decorators.transform(node, nocompile_decorators)
node = break_statements.transform(node, ctx)
node = asserts.transform(node, ctx)
# Note: sequencing continue canonicalization before for loop one avoids
# dealing with the extra loop increment operation that the for
# canonicalization creates.
node = continue_statements.transform(node, ctx)
ctx.namespace['len'] = len
node = _static_analysis_pass(node, ctx)
node = single_return.transform(node, ctx)
node = _static_analysis_pass(node, ctx)
node = lists.transform(node, ctx)
node = builtin_functions.transform(node, ctx)
node = _static_analysis_pass(node, ctx)
node = call_trees.transform(node, ctx, config.DEFAULT_UNCOMPILED_MODULES,
nocompile_decorators)
node = control_flow.transform(node, ctx)
# control_flow may create new symbols and change scopes.
node = _static_analysis_pass(node, ctx)
node = logical_expressions.transform(node, ctx)
node = side_effect_guards.transform(node, ctx)
node = name_scopes.transform(node, ctx)
return node, deps
