def _put_in_matching_buffer(self, y):
t = y.dtype
if t == np.float64:
return DLPythonDoubleBuffer(y)
elif t == np.float32:
return DLPythonFloatBuffer(y)
elif t == np.bool_:
return DLPythonBitBuffer(y)
elif t == np.int8:
return DLPythonByteBuffer(y)
elif t == np.uint8:
return DLPythonUnsignedByteBuffer(y)
elif t == np.int16:
return DLPythonShortBuffer(y)
elif t == np.int32:
return DLPythonIntBuffer(y)
elif t == np.int64:
return DLPythonLongBuffer(y)
elif t == np.object:
return DLPythonStringBuffer(y)
# TODO: support more types
else:
raise ValueError(
'Output type of the network \'{}\' is not supported.'.format(
y.dtype))
def _put_in_matching_buffer(self, y):
t = y.dtype
if t == np.float64:
return DLPythonDoubleBuffer(y)
elif t == np.float32:
return DLPythonFloatBuffer(y)
elif t == np.bool_:
return DLPythonBitBuffer(y)
elif t == np.int8:
return DLPythonByteBuffer(y)
elif t == np.uint8:
return DLPythonUnsignedByteBuffer(y)
elif t == np.int16:
return DLPythonShortBuffer(y)
elif t == np.int32:
return DLPythonIntBuffer(y)
elif t == np.int64:
return DLPythonLongBuffer(y)
elif t == np.object:
return DLPythonStringBuffer(y)
# TODO: support more types
else:
# TODO: warning to stderr? fail?
return DLPythonDoubleBuffer(y)
def serialize(value):
if not value.array.dtype == np.float64:
value = DLPythonDoubleBuffer(value.array.astype(np.float64))
buffer = BytesIO(bytes())
buffer.write(value.array.tobytes())
return buffer.getvalue()
def deserialize(bytes):
return DLPythonDoubleBuffer(np.frombuffer(bytes, dtype=np.float64))
# -*- coding: utf-8 -*-
import numpy as np
from DLPythonDataBuffers import DLPythonDoubleBuffer
global test_out_data
test_out_data = test_in_data.iloc[:, 0].map(lambda buff: DLPythonDoubleBuffer(
np.vectorize(lambda x: x * 5)(buff.array))).to_frame('test_out_data')