提交 bd844092 编写于 作者: F fengjiayi

move save/load from nn.py to tensor.py

上级 1b28739c
......@@ -3265,75 +3265,3 @@ def autoincreased_step_counter(counter_name=None, begin=1, step=1):
counter.stop_gradient = True
return counter
def save(x, file_path, overwrite=True):
"""
Saves a variable as a file.
Args:
x(variable): The Tensor/LoDTensor to be saved.
file_path(str): The file path where the variable will be saved.
overwrite(bool): Whether or not cover the given file when it has already
existed. If it's set 'False' and the file is existed, a runtime
error will be thrown.
"""
helper = LayerHelper("save", **locals())
helper.append_op(
type="save",
inputs={"input": x},
outputs={},
args={"file_path": file_path,
"overwrite": overwrite})
def save_combine(x, file_path, overwrite=True):
"""
Saves a list of variables into a single file.
Args:
x(list): A list of Tensor/LoDTensor to be saved together in a single file.
file_path(str): The file path where variables will be saved.
overwrite(bool): Whether or not cover the given file when it has already
existed. If it's set 'False' and the file is existed, a runtime
error will be thrown.
"""
helper = LayerHelper("save_combine", **locals())
helper.append_op(
type="save_combine",
inputs={"input": x},
outputs={},
args={"file_path": file_path,
"overwrite": overwrite})
def load(out, file_path):
"""
Loads a variable from a given file.
Args:
out(variable): The variable to be read from the disk file.
file_path(str): The path of the disk file.
"""
helper = LayerHelper("load", **locals())
helper.append_op(
type="load",
inputs={},
output={"Out": out},
args={"file_path": file_path})
def load_combine(out, file_path):
"""
Loads a list of vairables from a single file.
Args:
out(list): The list of variables to be read from the disk file.
file_path(str): The path of the disk file.
"""
helper = LayerHelper("load_combine", **locals())
helper.append_op(
type="load_combine",
inputs={},
output={"Out": out},
args={"file_path": file_path})
......@@ -362,3 +362,75 @@ def zeros(shape, dtype, force_cpu=False):
data = fluid.layers.zeros(shape=[1], dtype='int64')
"""
return fill_constant(value=0.0, **locals())
def save(x, file_path, overwrite=True):
"""
Saves a variable as a file.
Args:
x(variable): The Tensor/LoDTensor to be saved.
file_path(str): The file path where the variable will be saved.
overwrite(bool): Whether or not cover the given file when it has already
existed. If it's set 'False' and the file is existed, a runtime
error will be thrown.
"""
helper = LayerHelper("save", **locals())
helper.append_op(
type="save",
inputs={"input": x},
outputs={},
args={"file_path": file_path,
"overwrite": overwrite})
def save_combine(x, file_path, overwrite=True):
"""
Saves a list of variables into a single file.
Args:
x(list): A list of Tensor/LoDTensor to be saved together in a single file.
file_path(str): The file path where variables will be saved.
overwrite(bool): Whether or not cover the given file when it has already
existed. If it's set 'False' and the file is existed, a runtime
error will be thrown.
"""
helper = LayerHelper("save_combine", **locals())
helper.append_op(
type="save_combine",
inputs={"input": x},
outputs={},
args={"file_path": file_path,
"overwrite": overwrite})
def load(out, file_path):
"""
Loads a variable from a given file.
Args:
out(variable): The variable to be read from the disk file.
file_path(str): The path of the disk file.
"""
helper = LayerHelper("load", **locals())
helper.append_op(
type="load",
inputs={},
output={"Out": out},
args={"file_path": file_path})
def load_combine(out, file_path):
"""
Loads a list of vairables from a single file.
Args:
out(list): The list of variables to be read from the disk file.
file_path(str): The path of the disk file.
"""
helper = LayerHelper("load_combine", **locals())
helper.append_op(
type="load_combine",
inputs={},
output={"Out": out},
args={"file_path": file_path})
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