def _array_to_gpu(array, device, stream):
if array is None:
return None
if isinstance(array, chainerx.ndarray):
# TODO(niboshi): Update this logic once both CuPy and ChainerX support
# the array interface.
if array.device.backend.name == 'cuda':
# Convert to cupy.ndarray on the same device as source array
array = chainerx._to_cupy(array)
else:
array = chainerx.to_numpy(array)
elif isinstance(array, (numpy.number, numpy.bool_)):
array = numpy.asarray(array)
elif isinstance(array, intel64.mdarray):
array = numpy.asarray(array)
if isinstance(array, ndarray):
if array.device == device:
return array
is_numpy = False
elif isinstance(array, numpy.ndarray):
is_numpy = True
else:
raise TypeError(
'The array sent to gpu must be an array or a NumPy scalar.'
'\nActual type: {0}.'.format(type(array)))
if stream is not None:
with device:
with stream:
if is_numpy:
return cupy.asarray(array)
# Need to make a copy when an array is copied to another device
return cupy.array(array, copy=True)
with device:
if is_numpy:
return cupy.asarray(array)
# Need to make a copy when an array is copied to another device
return cupy.array(array, copy=True)
def _array_to_gpu(array, device, stream):
if array is None:
return None
if isinstance(array, chainerx.ndarray):
# TODO(niboshi): Update this logic once both CuPy and ChainerX support
# the array interface.
if array.device.backend.name == 'cuda':
# Convert to cupy.ndarray on the same device as source array
array = chainerx._to_cupy(array)
else:
array = chainerx.to_numpy(array)
elif isinstance(array, (numpy.number, numpy.bool_)):
array = numpy.asarray(array)
elif isinstance(array, intel64.mdarray):
array = numpy.asarray(array)
if isinstance(array, ndarray):
if array.device == device:
return array
is_numpy = False
elif isinstance(array, numpy.ndarray):
is_numpy = True
else:
raise TypeError(
'The array sent to gpu must be an array or a NumPy scalar.'
'\nActual type: {0}.'.format(type(array)))
if stream is not None:
with device:
with stream:
if is_numpy:
return cupy.asarray(array)
# Need to make a copy when an array is copied to another device
return cupy.array(array, copy=True)
with device:
if is_numpy:
return cupy.asarray(array)
# Need to make a copy when an array is copied to another device
return cupy.array(array, copy=True)
def _to_cupy(array):
assert cupy is not None
# Convert to cupy.ndarray on the same device as source array
return chainerx._to_cupy(array)
def _to_cupy(array):
assert cupy is not None
# Convert to cupy.ndarray on the same device as source array
return chainerx._to_cupy(array)
