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Fix numpy warning with numpy 1.17.0+ #30559

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merged 1 commit into from Jul 10, 2019
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Fix numpy warning with numpy 1.17.0+ #30559

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12 changes: 6 additions & 6 deletions tensorflow/python/framework/dtypes.py
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Expand Up @@ -513,16 +513,16 @@ def size(self):
# 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)])
_np_quint8 = np.dtype([("quint8", np.uint8)])
_np_qint16 = np.dtype([("qint16", np.int16)])
_np_quint16 = np.dtype([("quint16", np.uint16)])
_np_qint32 = np.dtype([("qint32", np.int32)])

# _np_bfloat16 is defined by a module import.

# 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)])

# Standard mappings between types_pb2.DataType values and numpy.dtypes.
_NP_TO_TF = {
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