forked from mindspore-Ecosystem/mindspore
!9457 modify some examples
From: @caozhou_huawei Reviewed-by: Signed-off-by:
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b9081806b8
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@ -240,7 +240,7 @@ def load_checkpoint(ckpt_file_name, net=None, strict_load=False, filter_prefix=N
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ValueError: Checkpoint file is incorrect.
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Examples:
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>>> ckpt_file_name = "./checkpoint/LeNet5-2_1875.ckpt"
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>>> ckpt_file_name = "./checkpoint/LeNet5-1_32.ckpt"
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>>> param_dict = load_checkpoint(ckpt_file_name, filter_prefix="conv1")
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"""
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if not isinstance(ckpt_file_name, str):
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@ -341,8 +341,9 @@ def load_param_into_net(net, parameter_dict, strict_load=False):
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TypeError: Argument is not a Cell, or parameter_dict is not a Parameter dictionary.
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Examples:
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>>> net = LeNet5()
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>>> param_dict = load_checkpoint("LeNet5-2_1875.ckpt")
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>>> net = Net()
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>>> ckpt_file_name = "./checkpoint/LeNet5-1_32.ckpt"
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>>> param_dict = load_checkpoint(ckpt_file_name, filter_prefix="conv1")
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>>> load_param_into_net(net, param_dict)
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"""
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if not isinstance(net, nn.Cell):
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@ -783,9 +784,6 @@ def build_searched_strategy(strategy_filename):
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ValueError: Strategy file is incorrect.
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TypeError: Strategy_filename is not str.
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Examples:
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>>> strategy_filename = "./strategy_train.ckpt"
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>>> strategy = build_searched_strategy(strategy_filename)
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"""
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if not isinstance(strategy_filename, str):
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raise TypeError(f"The strategy_filename should be str, but got {type(strategy_filename)}.")
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@ -836,17 +834,16 @@ def merge_sliced_parameter(sliced_parameters, strategy=None):
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KeyError: The parameter name is not in keys of strategy.
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Examples:
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>>> strategy = build_searched_strategy("./strategy_train.ckpt")
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>>> sliced_parameters = [
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>>> Parameter(Tensor(np.array([0.00023915, 0.00013939, -0.00098059])),
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>>> "network.embedding_table"),
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>>> Parameter(Tensor(np.array([0.00015815, 0.00015458, -0.00012125])),
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>>> "network.embedding_table"),
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>>> Parameter(Tensor(np.array([0.00042165, 0.00029692, -0.00007941])),
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>>> "network.embedding_table"),
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>>> Parameter(Tensor(np.array([0.00084451, 0.00089960, -0.00010431])),
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>>> "network.embedding_table")]
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>>> merged_parameter = merge_sliced_parameter(sliced_parameters, strategy)
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... Parameter(Tensor(np.array([0.00023915, 0.00013939, -0.00098059])),
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... "network.embedding_table"),
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... Parameter(Tensor(np.array([0.00015815, 0.00015458, -0.00012125])),
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... "network.embedding_table"),
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... Parameter(Tensor(np.array([0.00042165, 0.00029692, -0.00007941])),
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... "network.embedding_table"),
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... Parameter(Tensor(np.array([0.00084451, 0.00089960, -0.00010431])),
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... "network.embedding_table")]
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>>> merged_parameter = merge_sliced_parameter(sliced_parameters)
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"""
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if not isinstance(sliced_parameters, list):
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raise TypeError(f"The sliced_parameters should be list, but got {type(sliced_parameters)}.")
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