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@ -3206,7 +3206,7 @@ def one_hot(input, depth):
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operator.
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Args:
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input(Tensor/LodTensor): A Tensor/LodTensor of indices, last dimension must be 1.
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input(variable): A Tensor/LodTensor of indices, last dimension must be 1.
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depth(scalar): an interger defining the depth of the one hot dimension.
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Returns:
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@ -3265,3 +3265,71 @@ def autoincreased_step_counter(counter_name=None, begin=1, step=1):
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counter.stop_gradient = True
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return counter
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def save(x, file_path, overwrite=True):
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"""
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Saves a variable as a file.
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Args:
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x(variable): The Tensor/LoDTensor to be saved.
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file_path(str): The file path where the variable will be saved.
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overwrite(bool): Whether or not cover the given file when it has already
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existed. If it's set 'False' and the file is existed, a runtime
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error will be thrown.
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"""
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helper = LayerHelper("save", **locals())
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helper.append_op(
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type="save",
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inputs={"input": x},
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outputs={},
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args={"file_path": file_path,
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"overwrite": overwrite})
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def save_combine(x, file_path, overwrite=True):
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"""
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Saves a variable as a file.
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Args:
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x(list): A list of Tensor/LoDTensor to be saved together in a single file.
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file_path(str): The file path where variables will be saved.
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overwrite(bool): Whether or not cover the given file when it has already
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existed. If it's set 'False' and the file is existed, a runtime
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error will be thrown.
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"""
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helper = LayerHelper("save_combine", **locals())
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helper.append_op(
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type="save_combine",
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inputs={"input": x},
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outputs={},
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args={"file_path": file_path,
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"overwrite": overwrite})
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def load(out, file_path):
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"""
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Args:
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out(variable): The variable to be read from the disk file.
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file_path(str): The path of the disk file.
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"""
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helper = LayerHelper("load", **locals())
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helper.append_op(
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type="load",
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inputs={},
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output={"Out": out},
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args={"file_path": file_path})
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def load_combine(out, file_path):
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"""
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Args:
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out(list): The list of variables to be read from the disk file.
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file_path(str): The path of the disk file.
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"""
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helper = LayerHelper("load_combine", **locals())
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helper.append_op(
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type="load_combine",
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inputs={},
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output={"Out": out},
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args={"file_path": file_path})
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