提交 70e70d7d 编写于 作者: S sneaxiy

fix api.spec

上级 67248018
...@@ -178,14 +178,14 @@ paddle.fluid.layers.unstack ArgSpec(args=['x', 'axis', 'num'], varargs=None, key ...@@ -178,14 +178,14 @@ paddle.fluid.layers.unstack ArgSpec(args=['x', 'axis', 'num'], varargs=None, key
paddle.fluid.layers.sequence_enumerate ArgSpec(args=['input', 'win_size', 'pad_value', 'name'], varargs=None, keywords=None, defaults=(0, None)) paddle.fluid.layers.sequence_enumerate ArgSpec(args=['input', 'win_size', 'pad_value', 'name'], varargs=None, keywords=None, defaults=(0, None))
paddle.fluid.layers.expand ArgSpec(args=['x', 'expand_times', 'name'], varargs=None, keywords=None, defaults=(None,)) paddle.fluid.layers.expand ArgSpec(args=['x', 'expand_times', 'name'], varargs=None, keywords=None, defaults=(None,))
paddle.fluid.layers.sequence_concat ArgSpec(args=['input', 'name'], varargs=None, keywords=None, defaults=(None,)) paddle.fluid.layers.sequence_concat ArgSpec(args=['input', 'name'], varargs=None, keywords=None, defaults=(None,))
paddle.fluid.layers.scale ArgSpec(args=['x', 'scale', 'bias', 'bias_after_scale'], varargs=None, keywords=None, defaults=(1.0, 0.0, True)) paddle.fluid.layers.scale ArgSpec(args=['x', 'scale', 'bias', 'bias_after_scale', 'act', 'name'], varargs=None, keywords=None, defaults=(1.0, 0.0, True, None, None))
paddle.fluid.layers.elementwise_add ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn'], varargs=None, keywords=None, defaults=(-1, False)) paddle.fluid.layers.elementwise_add ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, False, None, None))
paddle.fluid.layers.elementwise_div ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn'], varargs=None, keywords=None, defaults=(-1, False)) paddle.fluid.layers.elementwise_div ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, False, None, None))
paddle.fluid.layers.elementwise_sub ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn'], varargs=None, keywords=None, defaults=(-1, False)) paddle.fluid.layers.elementwise_sub ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, False, None, None))
paddle.fluid.layers.elementwise_mul ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn'], varargs=None, keywords=None, defaults=(-1, False)) paddle.fluid.layers.elementwise_mul ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, False, None, None))
paddle.fluid.layers.elementwise_max ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn'], varargs=None, keywords=None, defaults=(-1, False)) paddle.fluid.layers.elementwise_max ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, False, None, None))
paddle.fluid.layers.elementwise_min ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn'], varargs=None, keywords=None, defaults=(-1, False)) paddle.fluid.layers.elementwise_min ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, False, None, None))
paddle.fluid.layers.elementwise_pow ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn'], varargs=None, keywords=None, defaults=(-1, False)) paddle.fluid.layers.elementwise_pow ArgSpec(args=['x', 'y', 'axis', 'use_mkldnn', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, False, None, None))
paddle.fluid.layers.data ArgSpec(args=['name', 'shape', 'append_batch_size', 'dtype', 'lod_level', 'type', 'stop_gradient'], varargs=None, keywords=None, defaults=(True, 'float32', 0, VarType.LOD_TENSOR, True)) paddle.fluid.layers.data ArgSpec(args=['name', 'shape', 'append_batch_size', 'dtype', 'lod_level', 'type', 'stop_gradient'], varargs=None, keywords=None, defaults=(True, 'float32', 0, VarType.LOD_TENSOR, True))
paddle.fluid.layers.open_files ArgSpec(args=['filenames', 'shapes', 'lod_levels', 'dtypes', 'thread_num', 'buffer_size', 'pass_num', 'is_test'], varargs=None, keywords=None, defaults=(None, None, 1, None)) paddle.fluid.layers.open_files ArgSpec(args=['filenames', 'shapes', 'lod_levels', 'dtypes', 'thread_num', 'buffer_size', 'pass_num', 'is_test'], varargs=None, keywords=None, defaults=(None, None, 1, None))
paddle.fluid.layers.read_file ArgSpec(args=['reader'], varargs=None, keywords=None, defaults=None) paddle.fluid.layers.read_file ArgSpec(args=['reader'], varargs=None, keywords=None, defaults=None)
......
...@@ -6471,7 +6471,13 @@ def _elementwise_op(helper): ...@@ -6471,7 +6471,13 @@ def _elementwise_op(helper):
assert y is not None, 'y cannot be None in {}'.format(op_type) assert y is not None, 'y cannot be None in {}'.format(op_type)
axis = helper.kwargs.get('axis', -1) axis = helper.kwargs.get('axis', -1)
use_mkldnn = helper.kwargs.get('use_mkldnn', False) use_mkldnn = helper.kwargs.get('use_mkldnn', False)
out = helper.create_tmp_variable(dtype=x.dtype) name = helper.kwargs.get('name', None)
if name is None:
out = helper.create_tmp_variable(dtype=x.dtype)
else:
out = helper.create_variable(
name=name, dtype=x.dtype, persistable=False)
helper.append_op( helper.append_op(
type=op_type, type=op_type,
inputs={'X': x, inputs={'X': x,
...@@ -6483,7 +6489,7 @@ def _elementwise_op(helper): ...@@ -6483,7 +6489,7 @@ def _elementwise_op(helper):
@templatedoc() @templatedoc()
def scale(x, scale=1.0, bias=0.0, bias_after_scale=True, name=None): def scale(x, scale=1.0, bias=0.0, bias_after_scale=True, act=None, name=None):
""" """
${comment} ${comment}
...@@ -6492,6 +6498,7 @@ def scale(x, scale=1.0, bias=0.0, bias_after_scale=True, name=None): ...@@ -6492,6 +6498,7 @@ def scale(x, scale=1.0, bias=0.0, bias_after_scale=True, name=None):
scale(${scale_type}): ${scale_comment} scale(${scale_type}): ${scale_comment}
bias(${bias_type}): ${bias_comment} bias(${bias_type}): ${bias_comment}
bias_after_scale(${bias_after_scale_type}): ${bias_after_scale_comment} bias_after_scale(${bias_after_scale_type}): ${bias_after_scale_comment}
act(basestring|None): Activation applied to the output.
name(basestring|None): Name of the output. name(basestring|None): Name of the output.
Returns: Returns:
...@@ -6499,7 +6506,6 @@ def scale(x, scale=1.0, bias=0.0, bias_after_scale=True, name=None): ...@@ -6499,7 +6506,6 @@ def scale(x, scale=1.0, bias=0.0, bias_after_scale=True, name=None):
""" """
helper = LayerHelper('scale', **locals()) helper = LayerHelper('scale', **locals())
out = helper.create_tmp_variable(dtype=x.dtype)
if name is None: if name is None:
out = helper.create_tmp_variable(dtype=x.dtype) out = helper.create_tmp_variable(dtype=x.dtype)
else: else:
...@@ -6515,34 +6521,34 @@ def scale(x, scale=1.0, bias=0.0, bias_after_scale=True, name=None): ...@@ -6515,34 +6521,34 @@ def scale(x, scale=1.0, bias=0.0, bias_after_scale=True, name=None):
'bias': float(bias), 'bias': float(bias),
'bias_after_scale': bias_after_scale 'bias_after_scale': bias_after_scale
}) })
return out return helper.append_activation(out)
def elementwise_add(x, y, axis=-1, use_mkldnn=False, act=None): def elementwise_add(x, y, axis=-1, use_mkldnn=False, act=None, name=None):
return _elementwise_op(LayerHelper('elementwise_add', **locals())) return _elementwise_op(LayerHelper('elementwise_add', **locals()))
def elementwise_div(x, y, axis=-1, use_mkldnn=False, act=None): def elementwise_div(x, y, axis=-1, use_mkldnn=False, act=None, name=None):
return _elementwise_op(LayerHelper('elementwise_div', **locals())) return _elementwise_op(LayerHelper('elementwise_div', **locals()))
def elementwise_sub(x, y, axis=-1, use_mkldnn=False, act=None): def elementwise_sub(x, y, axis=-1, use_mkldnn=False, act=None, name=None):
return _elementwise_op(LayerHelper('elementwise_sub', **locals())) return _elementwise_op(LayerHelper('elementwise_sub', **locals()))
def elementwise_mul(x, y, axis=-1, use_mkldnn=False, act=None): def elementwise_mul(x, y, axis=-1, use_mkldnn=False, act=None, name=None):
return _elementwise_op(LayerHelper('elementwise_mul', **locals())) return _elementwise_op(LayerHelper('elementwise_mul', **locals()))
def elementwise_max(x, y, axis=-1, use_mkldnn=False, act=None): def elementwise_max(x, y, axis=-1, use_mkldnn=False, act=None, name=None):
return _elementwise_op(LayerHelper('elementwise_max', **locals())) return _elementwise_op(LayerHelper('elementwise_max', **locals()))
def elementwise_min(x, y, axis=-1, use_mkldnn=False, act=None): def elementwise_min(x, y, axis=-1, use_mkldnn=False, act=None, name=None):
return _elementwise_op(LayerHelper('elementwise_min', **locals())) return _elementwise_op(LayerHelper('elementwise_min', **locals()))
def elementwise_pow(x, y, axis=-1, use_mkldnn=False, act=None): def elementwise_pow(x, y, axis=-1, use_mkldnn=False, act=None, name=None):
return _elementwise_op(LayerHelper('elementwise_pow', **locals())) return _elementwise_op(LayerHelper('elementwise_pow', **locals()))
...@@ -6554,5 +6560,6 @@ for func in [ ...@@ -6554,5 +6560,6 @@ for func in [
func.__doc__ = _generate_doc_string_( func.__doc__ = _generate_doc_string_(
op_proto, op_proto,
additional_args_lines=[ additional_args_lines=[
"act(basestring|None): Activation to be applied to the output." "act (basestring|None): Activation applied to the output.",
"name (basestring|None): Name of the output."
]) ])
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