def GetPhyBlobNumpy(i, phy_blob_object):
name = "{}/{}".format(self.logical_blob_name, i)
blob_register.SetObject4BlobName(name, phy_blob_object)
return (oneflow_api.EagerPhysicalBlob(
name, blob_register,
eager_blob_util._GetPhysicalBlobHeaderCache).numpy_list()
if self.is_tensor_list else oneflow_api.EagerPhysicalBlob(
name, blob_register,
eager_blob_util._GetPhysicalBlobHeaderCache).numpy())
def FetchBlobNumpy(blob_object):
consistent_blob_name = None
def BoxingToSingleDevice(builder):
parallel_conf = placement_cfg.ParallelConf()
parallel_conf.set_device_tag(
blob_object.parallel_desc_symbol.device_tag)
parallel_conf.add_device_name("{}:{}".format(0, 0))
tmp_parallel_desc_symbol = builder.GetParallelDescSymbol(
parallel_conf)
tmp_op_arg_parallel_attr = oneflow_api.OpArgParallelAttribute(
tmp_parallel_desc_symbol,
str(blob_object.op_arg_parallel_attr.sbp_parallel),
str(blob_object.op_arg_parallel_attr.opt_mirrored_parallel),
)
with oneflow.scope.placement(
self.parallel_conf.device_tag(),
list(self.parallel_conf.device_name()),
):
tmp_blob_object = boxing_util.BoxingTo(
builder, blob_object, tmp_op_arg_parallel_attr)
nonlocal consistent_blob_name
consistent_blob_name = "{}-consistent".format(
self.logical_blob_name)
if not blob_register.HasObject4BlobName(consistent_blob_name):
blob_register.SetObject4BlobName(consistent_blob_name,
tmp_blob_object)
vm_util.LogicalRun(BoxingToSingleDevice)
return oneflow_api.EagerPhysicalBlob(
consistent_blob_name,
blob_register,
eager_blob_util._GetPhysicalBlobHeaderCache,
).numpy()