!9457 modify some examples

From: @caozhou_huawei
Reviewed-by: 
Signed-off-by:
This commit is contained in:
mindspore-ci-bot 2020-12-07 09:28:28 +08:00 committed by Gitee
commit b9081806b8
1 changed files with 13 additions and 16 deletions

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@ -240,7 +240,7 @@ def load_checkpoint(ckpt_file_name, net=None, strict_load=False, filter_prefix=N
ValueError: Checkpoint file is incorrect.
Examples:
>>> ckpt_file_name = "./checkpoint/LeNet5-2_1875.ckpt"
>>> ckpt_file_name = "./checkpoint/LeNet5-1_32.ckpt"
>>> param_dict = load_checkpoint(ckpt_file_name, filter_prefix="conv1")
"""
if not isinstance(ckpt_file_name, str):
@ -341,8 +341,9 @@ def load_param_into_net(net, parameter_dict, strict_load=False):
TypeError: Argument is not a Cell, or parameter_dict is not a Parameter dictionary.
Examples:
>>> net = LeNet5()
>>> param_dict = load_checkpoint("LeNet5-2_1875.ckpt")
>>> net = Net()
>>> ckpt_file_name = "./checkpoint/LeNet5-1_32.ckpt"
>>> param_dict = load_checkpoint(ckpt_file_name, filter_prefix="conv1")
>>> load_param_into_net(net, param_dict)
"""
if not isinstance(net, nn.Cell):
@ -783,9 +784,6 @@ def build_searched_strategy(strategy_filename):
ValueError: Strategy file is incorrect.
TypeError: Strategy_filename is not str.
Examples:
>>> strategy_filename = "./strategy_train.ckpt"
>>> strategy = build_searched_strategy(strategy_filename)
"""
if not isinstance(strategy_filename, str):
raise TypeError(f"The strategy_filename should be str, but got {type(strategy_filename)}.")
@ -836,17 +834,16 @@ def merge_sliced_parameter(sliced_parameters, strategy=None):
KeyError: The parameter name is not in keys of strategy.
Examples:
>>> strategy = build_searched_strategy("./strategy_train.ckpt")
>>> sliced_parameters = [
>>> Parameter(Tensor(np.array([0.00023915, 0.00013939, -0.00098059])),
>>> "network.embedding_table"),
>>> Parameter(Tensor(np.array([0.00015815, 0.00015458, -0.00012125])),
>>> "network.embedding_table"),
>>> Parameter(Tensor(np.array([0.00042165, 0.00029692, -0.00007941])),
>>> "network.embedding_table"),
>>> Parameter(Tensor(np.array([0.00084451, 0.00089960, -0.00010431])),
>>> "network.embedding_table")]
>>> merged_parameter = merge_sliced_parameter(sliced_parameters, strategy)
... Parameter(Tensor(np.array([0.00023915, 0.00013939, -0.00098059])),
... "network.embedding_table"),
... Parameter(Tensor(np.array([0.00015815, 0.00015458, -0.00012125])),
... "network.embedding_table"),
... Parameter(Tensor(np.array([0.00042165, 0.00029692, -0.00007941])),
... "network.embedding_table"),
... Parameter(Tensor(np.array([0.00084451, 0.00089960, -0.00010431])),
... "network.embedding_table")]
>>> merged_parameter = merge_sliced_parameter(sliced_parameters)
"""
if not isinstance(sliced_parameters, list):
raise TypeError(f"The sliced_parameters should be list, but got {type(sliced_parameters)}.")