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  • dtypes.py", line 499 _np_qint8 = np.dtype([("qint8", np.int8, (1,)])

    Traceback (most recent call last):
    File "<stdin>", line 1, in <module>
    File "/home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import *
    File "/home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/python/__init__.py", line 63, in <module>
    from tensorflow.python.framework.framework_lib import *
    File "/home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/python/framework/framework_lib.py", line 76, in <module>
    from tensorflow.python.framework.ops import Graph
    File "/home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 45, in <module>
    from tensorflow.python.framework import dtypes
    File "/home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py", line 499
    _np_qint8 = np.dtype([("qint8", np.int8, (1,)])

    ==================================================================================================

    cd /home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/python/framework/

    vim dtypes.py

    # Numpy representation for quantized dtypes.
    #
    # These are magic strings that are used in the swig wrapper to identify
    # quantized types.
    # TODO(mrry,keveman): Investigate Numpy type registration to replace this
    # hard-coding of names.
    #_np_qint8 = np.dtype([("qint8", np.int8, 1)])
    #_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
    #_np_qint16 = np.dtype([("qint16", np.int16, 1)])
    #_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
    #_np_qint32 = np.dtype([("qint32", np.int32, 1)])

    _np_qint8 = np.dtype([("qint8", np.int8, (1,))])
    _np_quint8 = np.dtype([("quint8", np.uint8, (1,))])
    _np_qint16 = np.dtype([("qint16", np.int16, (1,))])
    _np_quint16 = np.dtype([("quint16", np.uint16, (1,))])
    _np_qint32 = np.dtype([("qint32", np.int32, (1,))])
     
    # Custom struct dtype for directly-fed ResourceHandles of supported type(s).
    #np_resource = np.dtype([("resource", np.ubyte, 1)])
    np_resource = np.dtype([("resource", np.ubyte, (1,))])
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  • 原文地址:https://www.cnblogs.com/herd/p/11512971.html
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