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https://github.com/saymrwulf/stable-baselines3.git
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replaced file with file_path
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parent
8062ed6036
commit
cf1d7118a5
1 changed files with 13 additions and 13 deletions
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@ -339,8 +339,8 @@ class BaseRLModel(object):
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# Open the zip archive and load data
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try:
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with zipfile.ZipFile(load_path, "r") as file_:
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namelist = file_.namelist()
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with zipfile.ZipFile(load_path, "r") as archive:
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namelist = archive.namelist()
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# If data or parameters is not in the
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# zip archive, assume they were stored
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# as None (_save_to_file_zip allows this).
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@ -349,12 +349,12 @@ class BaseRLModel(object):
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opt_params = None
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if "data" in namelist and load_data:
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# Load class parameters and convert to string
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json_data = file_.read("data").decode()
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json_data = archive.read("data").decode()
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data = json_to_data(json_data)
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if "params.pth" in namelist:
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# Load parameters with build in torch function
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with file_.open("params.pth", mode="r") as param_file:
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with archive.open("params.pth", mode="r") as param_file:
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# File has to be seekable so load in BytesIO first
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file_content = io.BytesIO()
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file_content.write(param_file.read())
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@ -363,21 +363,21 @@ class BaseRLModel(object):
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params = th.load(file_content)
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# check for all other .pth files
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other_file = [file_name for file_name in namelist if
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other_files = [file_name for file_name in namelist if
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os.path.splitext(file_name)[1] == ".pth" and file_name != "params.pth"]
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# if there are any other files which end with .pth and aren't "params.pth"
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# assume that they each are optimizer parameters
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if len(other_file) > 0:
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if len(other_files) > 0:
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opt_params = dict()
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for file in other_file:
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with file_.open(file, mode="r") as opt_param_file:
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for file_path in other_files:
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with archive.open(file_path, mode="r") as opt_param_file:
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# File has to be seekable so load in BytesIO first
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file_content = io.BytesIO()
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file_content.write(opt_param_file.read())
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# go to start of file
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file_content.seek(0)
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# save the parameters in dict with file name but trim file ending
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opt_params[os.path.splitext(file)[0]] = th.load(file_content)
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opt_params[os.path.splitext(file_path)[0]] = th.load(file_content)
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except zipfile.BadZipFile:
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# load_path wasn't a zip file
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raise ValueError("Error: the file {} wasn't a zip-file".format(load_path))
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@ -528,16 +528,16 @@ class BaseRLModel(object):
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# Create a zip-archive and write our objects
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# there. This works when save_path is either
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# str or a file-like
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with zipfile.ZipFile(save_path, "w") as file_:
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with zipfile.ZipFile(save_path, "w") as archive:
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# Do not try to save "None" elements
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if data is not None:
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file_.writestr("data", serialized_data)
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archive.writestr("data", serialized_data)
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if params is not None:
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with file_.open('params.pth', mode="w") as param_file:
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with archive.open('params.pth', mode="w") as param_file:
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th.save(params, param_file)
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if opt_params is not None:
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for file_name, dict in opt_params.items():
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with file_.open(file_name + '.pth', mode="w") as opt_param_file:
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with archive.open(file_name + '.pth', mode="w") as opt_param_file:
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th.save(dict, opt_param_file)
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def excluded_save_params(self):
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