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Python tensorflow.TensorFlowTransformer方法代码示例

本文整理汇总了Python中kaffe.tensorflow.TensorFlowTransformer方法的典型用法代码示例。如果您正苦于以下问题:Python tensorflow.TensorFlowTransformer方法的具体用法?Python tensorflow.TensorFlowTransformer怎么用?Python tensorflow.TensorFlowTransformer使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在kaffe.tensorflow的用法示例。


在下文中一共展示了tensorflow.TensorFlowTransformer方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: convert

# 需要导入模块: from kaffe import tensorflow [as 别名]
# 或者: from kaffe.tensorflow import TensorFlowTransformer [as 别名]
def convert(def_path, caffemodel_path, data_output_path, code_output_path, phase):
    try:
        transformer = TensorFlowTransformer(def_path, caffemodel_path, phase=phase)
        print_stderr('Converting data...')
        if caffemodel_path is not None:
            data = transformer.transform_data()
            print_stderr('Saving data...')
            with open(data_output_path, 'wb') as data_out:
                np.save(data_out, data)
        if code_output_path:
            print_stderr('Saving source...')
            with open(code_output_path, 'wb') as src_out:
                src_out.write(transformer.transform_source())
        print_stderr('Done.')
    except KaffeError as err:
        fatal_error('Error encountered: {}'.format(err)) 
开发者ID:Vladkryvoruchko,项目名称:PSPNet-Keras-tensorflow,代码行数:18,代码来源:convert.py

示例2: convert

# 需要导入模块: from kaffe import tensorflow [as 别名]
# 或者: from kaffe.tensorflow import TensorFlowTransformer [as 别名]
def convert(def_path, caffemodel_path, data_output_path, code_output_path, phase):
    try:
        transformer = TensorFlowTransformer(def_path, caffemodel_path, phase=phase)
        print_stderr('Converting data...')
        if caffemodel_path is not None:
            data = transformer.transform_data()
            print_stderr('Saving data...')
            # create directory if not existing
            dirname = os.path.dirname(data_output_path)
            if not os.path.exists(dirname):
                os.makedirs(dirname)
            with open(data_output_path, 'wb') as data_out:
                np.save(data_out, data)
        if code_output_path:
            print_stderr('Saving source...')
            # create directory if not existing
            dirname = os.path.dirname(code_output_path)
            if not os.path.exists(dirname):
                os.makedirs(dirname)
            with open(code_output_path, 'wb') as src_out:
                src_out.write(transformer.transform_source())
        print_stderr('Done.')
    except KaffeError as err:
        fatal_error('Error encountered: {}'.format(err)) 
开发者ID:PacktPublishing,项目名称:Machine-Learning-with-TensorFlow-1.x,代码行数:26,代码来源:convert.py


注:本文中的kaffe.tensorflow.TensorFlowTransformer方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。