Use Declarations.yaml to generate python bindings

This commit is contained in:
Sam Gross
2017-10-06 09:37:17 -07:00
committed by Soumith Chintala
parent 558d26a69e
commit f29bcab67e
7 changed files with 162 additions and 74 deletions

View File

@ -50,38 +50,41 @@ UNPACK_SELF = "auto& self_ = reinterpret_cast<THPVariable*>(self)->cdata;"
def create_python_bindings(
python_functions, py_methods, py_method_defs, py_method_dispatch,
is_static):
python_functions, py_methods, py_method_defs, py_method_dispatch):
"""python_variable_methods.cpp
Generates Python bindings to Variable methods
"""
unpack_methods = {
'const Tensor &': 'tensor',
'Generator *': 'generator',
'Storage &': 'storage',
'int64_t': 'toInt64',
'bool': 'toBool'
'bool': 'toBool',
'double': 'toDouble',
}
def first_tensor_arg(arguments):
for arg in arguments:
if arg['type'] in {'Tensor', 'TensorList'}:
if arg['simple_type'] in {'Tensor', 'TensorList'}:
return arg['name']
return None
def auto_gpu(option):
tensor_arg = first_tensor_arg(option['python_arguments'])
tensor_arg = first_tensor_arg(option['arguments'])
if tensor_arg is None:
return ''
return 'AutoGPU auto_gpu({});'.format(tensor_arg)
def emit_dispatch(i, function, has_self):
def emit_dispatch(i, function):
env = {}
actuals = []
formal_args = []
arg_idx = 0
for arg in function['python_arguments']:
if arg['name'] == 'self' and not is_static:
for arg in function['arguments']:
if 'Tensor' in function['method_of'] and arg['name'] == 'self':
formal_args.append('Tensor & {}'.format(arg['name']))
actuals.append('self_')
continue
@ -102,8 +105,11 @@ def create_python_bindings(
env['i'] = i
env['actuals'] = actuals
env['formal_args'] = formal_args
env['dispatch_args'] = function['call_args']
if not is_static and has_self:
if 'call_args' in function:
env['dispatch_args'] = function['call_args']
else:
env['dispatch_args'] = [arg['name'] for arg in function['arguments']]
if 'Tensor' in function['method_of']:
env['dispatch_args'] = [arg for arg in env['dispatch_args'] if arg != 'self']
env['dispatch_call'] = 'self.{}'.format(function['name'])
else:
@ -121,20 +127,18 @@ def create_python_bindings(
'dispatch_name': 'dispatch_{}'.format(name),
'pycname': 'THPVariable_{}'.format(name),
'prototypes': [],
'max_args': max(len(o['python_arguments']) for o in functions),
'max_args': max(len(o['arguments']) for o in functions),
'unpack_self': [],
'dispatch': [],
}
has_self = 'self' in functions[0]['args']
if has_self:
is_method = 'Tensor' in functions[0]['method_of']
if is_method:
env['unpack_self'] = [UNPACK_SELF]
for o in functions:
prototype = o['prototype']
if o['inplace']:
prototype = prototype.replace('(', '_(')
if not is_static:
if is_method:
prototype = prototype.replace('Tensor self, ', '')
prototype = prototype.replace('Tensor self', '')
if 'deprecated' in o:
@ -142,10 +146,10 @@ def create_python_bindings(
env['prototypes'].append('"{}",'.format(prototype))
for i, option in enumerate(functions):
env['dispatch'].append(emit_dispatch(i, nested_dict(env, option), has_self))
env['dispatch'].append(emit_dispatch(i, nested_dict(env, option)))
env['dispatch'].append('}')
if len(functions) == 1 and len(functions[0]['args']) == 1 and not is_static:
if len(functions) == 1 and len(functions[0]['args']) == 1 and is_method:
tmpl = PY_VARIABLE_METHOD_NOARGS
env['actuals'] = ['self_']
env['flags'] = 'METH_NOARGS'
@ -153,6 +157,9 @@ def create_python_bindings(
tmpl = PY_VARIABLE_METHOD_VARARGS
env['flags'] = 'METH_VARARGS | METH_KEYWORDS'
if not is_method:
env['flags'] += ' | METH_STATIC'
py_methods.append(tmpl.substitute(env))
py_method_defs.append(PY_VARIABLE_METHOD_DEF.substitute(env))