Feature/quick start api #1126
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Feature/quick start api #1126
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reyoung
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wangkuiyi
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Jan 17, 2017
| opt_config_proto = parse_optimizer_config(optimizer_config) | ||
| opt_config = api.OptimizationConfig.createFromProto(opt_config_proto) | ||
| _temp_optimizer_ = api.ParameterOptimizer.create(opt_config) | ||
| opt_config_proto = paddle.config.parse_optimizer(optimizer_config) |
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这里还是不要依赖把 optimzier_config 定义成一个函数。因为这里其实应该不需要protobuf吧。
| _temp_optimizer_ = api.ParameterOptimizer.create(opt_config) | ||
| opt_config_proto = paddle.config.parse_optimizer(optimizer_config) | ||
| opt_config = paddle.raw.OptimizationConfig.createFromProto(opt_config_proto) | ||
| _temp_optimizer_ = paddle.raw.ParameterOptimizer.create(opt_config) |
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这里需要定义一个temporary variable，不容易理解为什么需要它。
| model_config = parse_network_config(network_config) | ||
| m = api.GradientMachine.createFromConfigProto( | ||
| model_config, api.CREATE_MODE_NORMAL, enable_types) | ||
| model_config = paddle.config.parse_network(network_config) |
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类似的，model_config一定要是protobuf吗？
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| # This type check is not useful. Only enable type hint in IDE. | ||
| # Such as PyCharm | ||
| assert isinstance(m, api.GradientMachine) | ||
| assert isinstance(m, paddle.raw.GradientMachine) |
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如果上面的代码是 m = paddle.gradient_mahcine.new(...) ，那么这里不需要这一行，也可以让用户了明白 m 是一个 gradient machine了。
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Closed because mnist should be review first. |
zhhsplendid
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Sep 25, 2019
* modify fluid.rst and layers.rst and gen_doc.py * synchronize api_cn of develop 0823,test=document_preview * update io_cn.rst * delete ComposeNotAligned_cn.rst
wangxicoding
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Dec 9, 2021
…n_equal_1_bug fix viterbi len=1 bug
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Review #1108 #1121 first.