Python tensorflow.TensorFlowTransformer方法代碼示例

本文整理匯總了Python中kaffe.tensorflow.TensorFlowTransformer方法的典型用法代碼示例。如果您正苦於以下問題：Python tensorflow.TensorFlowTransformer方法的具體用法？Python tensorflow.TensorFlowTransformer怎麽用？Python tensorflow.TensorFlowTransformer使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類kaffe.tensorflow的用法示例。

在下文中一共展示了tensorflow.TensorFlowTransformer方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: convert

# 需要導入模塊: from kaffe import tensorflow [as 別名]
# 或者: from kaffe.tensorflow import TensorFlowTransformer [as 別名]
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))

開發者ID:Vladkryvoruchko，項目名稱:PSPNet-Keras-tensorflow，代碼行數:18，代碼來源:convert.py

示例2: convert

# 需要導入模塊: from kaffe import tensorflow [as 別名]
# 或者: from kaffe.tensorflow import TensorFlowTransformer [as 別名]
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))

開發者ID:PacktPublishing，項目名稱:Machine-Learning-with-TensorFlow-1.x，代碼行數:26，代碼來源:convert.py

注：本文中的kaffe.tensorflow.TensorFlowTransformer方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。