成功解决AttributeError: 'MapDataset' object has no attribute 'group_by_window'
成功解決AttributeError: 'MapDataset' object has no attribute 'group_by_window'
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目錄
解決問題
解決思路
解決方法
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解決問題
AttributeError: 'MapDataset' object has no attribute 'group_by_window'
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解決思路
錯誤屬性:“mapdataset”對象沒有“window”的“group”屬性
A transformation that groups windows of elements by key and reduces them.
This transformation maps each consecutive element in a dataset to a key using?key_func?and groups the elements by key. It then applies?reduce_func?to at most?window_size_func(key)?elements matching the same key. All except the final window for each key will contain?window_size_func(key)?elements; the final window may be smaller.
You may provide either a constant?window_size?or a window size determined by the key through?window_size_func.
Args:
- key_func: A function mapping a nested structure of tensors (having shapes and types defined by?self.output_shapes?and?self.output_types) to a scalar?tf.int64?tensor.
- reduce_func: A function mapping a key and a dataset of up to?window_size?consecutive elements matching that key to another dataset.
- window_size: A?tf.int64?scalar?tf.Tensor, representing the number of consecutive elements matching the same key to combine in a single batch, which will be passed to?reduce_func. Mutually exclusive with?window_size_func.
- window_size_func: A function mapping a key to a?tf.int64?scalar?tf.Tensor, representing the number of consecutive elements matching the same key to combine in a single batch, which will be passed to?reduce_func. Mutually exclusive with?window_size.
Returns:
A?Dataset?transformation function, which can be passed to?tf.data.Dataset.apply.
Raises:
- ValueError: if neither or both of {window_size,?window_size_func} are passed.
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解決方法
'MapDataset' 這種對象,沒有'group_by_window'這種屬性。
tf.contrib.data.group_by_window(key_func,reduce_func,window_size=None,window_size_func=None )# batched_dataset = src_tgt_dataset.group_by_window(# key_func=key_func, reduce_func=reduce_func, window_size=batch_size)#20180626修改此處batched_dataset = src_tgt_dataset.apply(tf.contrib.data.group_by_window(key_func=key_func, reduce_func=reduce_func, window_size=batch_size))?
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相關文章推薦
tf.contrib.data.group_by_window:https://tensorflow.google.cn/api_docs/python/tf/contrib/data/group_by_window
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