forked from mindspore-Ecosystem/mindspore
clean code
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@ -10,7 +10,7 @@
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#### FrontEnd
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- [BETA] Add `mindspore.Model.fit` API, add `mindspore.callback.EarlyStopping` and `mindspore.callback.ReduceLROnPlateau` in Callback.
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- [BETA] Add `mindspore.Model.fit` API, add `mindspore.train.callback.EarlyStopping` and `mindspore.train.callback.ReduceLROnPlateau` in Callback.
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- [BETA] Support custom operator implemented by Julia.
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- [BETA] Support custom operator implemented by MindSpore Hybrid DSL.
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- [STABLE] The export() interface supports the export of a model using a custom encryption algorithm, and the load() interface supports the import of a model using a custom decryption algorithm.
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@ -10,7 +10,7 @@
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#### FrontEnd
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- [BETA] 提供`mindspore.Model.fit` API,增加两种callback方法 `mindspore.callback.EarlyStopping` 和 `mindspore.callback.ReduceLROnPlateau`。
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- [BETA] 提供`mindspore.Model.fit` API,增加两种callback方法 `mindspore.train.callback.EarlyStopping` 和 `mindspore.train.callback.ReduceLROnPlateau`。
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- [BETA] 自定义算子支持Julia算子。
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- [BETA] 自定义算子支持Hybrid DSL算子。
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- [STABLE] export()接口支持自定义加密算法导出模型,load()接口支持自定义解密算法导入模型。
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@ -219,7 +219,7 @@ GeTensorPtr ConvertStringTensor(const MeTensorPtr &tensor, const std::string &fo
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std::string string_to_add(string_element, string_length);
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(void)string_vector.emplace_back(string_to_add);
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}
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delete string_element;
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delete[] string_element;
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string_element = nullptr;
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tensor_ptr = make_shared<GeTensor>(*desc);
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(void)tensor_ptr->SetData(string_vector);
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@ -236,7 +236,7 @@ GeTensorPtr ConvertStringTensor(const MeTensorPtr &tensor, const std::string &fo
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std::string string_to_add(string_element, string_length);
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tensor_ptr = make_shared<GeTensor>(*desc);
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(void)tensor_ptr->SetData(string_to_add);
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delete string_element;
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delete[] string_element;
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string_element = nullptr;
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}
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return tensor_ptr;
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@ -1544,6 +1544,9 @@ class Cell(Cell_):
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>>>
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>>> net = nn.Conv2d(120, 240, 4, has_bias=False, weight_init='normal')
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>>> net.to_float(mstype.float16)
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Supported Platforms:
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``Ascend`` ``GPU`` ``CPU``
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"""
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if dst_type not in (mstype.float16, mstype.float32):
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raise ValueError("For 'to_float', the argument 'dst_type' must be float32 or float16, "
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