def _GetInterfaceBlobObject(builder, op_name):
sess = session_ctx.GetDefaultSession()
if oneflow_api.EagerExecutionEnabled():
return sess.var_name2var_blob[op_name].blob_object
sess = session_ctx.GetDefaultSession()
op_attribute = sess.OpAttribute4InterfaceOpName(op_name)
cfg_op_attribute = oneflow_api.deprecated.MakeOpAttributeByString(str(op_attribute))
parallel_conf = sess.ParallelConf4LazyInterfaceOpName(op_name)
if not isinstance(
parallel_conf, oneflow_api.oneflow.core.job.placement.ParallelConf
):
parallel_conf_cfg = placement_cfg.ParallelConf()
parallel_conf_cfg.set_device_tag(parallel_conf.device_tag)
for device_name in parallel_conf.device_name:
parallel_conf_cfg.add_device_name(device_name)
if parallel_conf.HasField("hierarchy"):
hierarchy = shape_proto_cfg.ShapeProto()
for dim in parallel_conf.hierarchy.dim:
hierarchy.add_dim(dim)
assert hierarchy.dim_size() > 0
parallel_conf_cfg.mutable_hierarchy().CopyFrom(hierarchy)
parallel_conf = parallel_conf_cfg
blob_object = builder.MakeLazyRefBlobObject(
op_name, cfg_op_attribute, parallel_conf
)
return blob_object
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)
def MakeLazyRefBlobObject(self, interface_op_name):
sess = session_ctx.GetDefaultSession()
op_attribute = sess.OpAttribute4InterfaceOpName(interface_op_name)
assert len(op_attribute.output_bns) == 1
obn = op_attribute.output_bns[0]
parallel_conf = sess.ParallelConf4LazyInterfaceOpName(interface_op_name)
if not isinstance(
parallel_conf, oneflow_api.oneflow.core.job.placement.ParallelConf
):
parallel_conf_cfg = placement_cfg.ParallelConf()
parallel_conf_cfg.set_device_tag(parallel_conf.device_tag)
for device_name in parallel_conf.device_name:
parallel_conf_cfg.add_device_name(device_name)
parallel_conf = parallel_conf_cfg
blob_parallel_desc_sym = self.GetParallelDescSymbol(parallel_conf)
op_arg_parallel_attr = oneflow_api.GetOpArgParallelAttribute(
blob_parallel_desc_sym, str(op_attribute), obn
)
op_arg_blob_attr = oneflow_api.GetOpArgBlobAttribute(str(op_attribute), obn)
blob_object = self.NewBlobObject(op_arg_parallel_attr, op_arg_blob_attr)
self.LazyReference(blob_object, interface_op_name)
return blob_object
def numpy(self):
parallel_conf = placement_cfg.ParallelConf()
parallel_conf.set_device_tag(self.device.type)
machine_id = 0
parallel_conf.add_device_name("{}:{}".format(machine_id,
self.device.index))
return remote_blob_util.BlobObjectNumpy(
self._local_or_consistent_tensor._blob_object, parallel_conf)
def GetConcatSplitBoxingParallelDescSymbol(
builder, blob_parallel_desc_symbol, max_parallel_num
):
random_rank_id = random.randint(0, max_parallel_num - 1)
parallel_conf = placement_cfg.ParallelConf()
parallel_conf.set_device_tag("cpu")
for machine_id, _ in blob_parallel_desc_symbol.machine_id2device_id_list.items():
parallel_conf.add_device_name("%s:%s" % (machine_id, random_rank_id))
return builder.GetParallelDescSymbol(parallel_conf)
def ReplaceDeviceTag(parallel_desc_symbol, device_tag, builder=None):
assert parallel_desc_symbol.device_tag != device_tag
parallel_conf = placement_cfg.ParallelConf()
parallel_conf.set_device_tag(device_tag)
for device_name in parallel_desc_symbol.parallel_conf.device_name():
parallel_conf.add_device_name(device_name)
if builder is None:
return oneflow_api.PlacementSymbol(parallel_desc_symbol.symbol_id,
parallel_conf)
else:
return builder.GetParallelDescSymbol(parallel_conf)
def GetConcatSplitBoxingParallelDescSymbol(builder, blob_parallel_desc_symbol,
max_parallel_num):
random_rank_id = random.randint(0, max_parallel_num - 1)
parallel_conf = placement_cfg.ParallelConf()
parallel_conf.set_device_tag("cpu")
for machine_id, _ in blob_parallel_desc_symbol.machine_id2device_id_list.items(
):
parallel_conf.add_device_name("%s:%s" % (machine_id, random_rank_id))
hierarchy = shape_proto_cfg.ShapeProto()
for dim in blob_parallel_desc_symbol.hierarchy:
hierarchy.add_dim(dim)
assert hierarchy.dim_size() > 0
parallel_conf.mutable_hierarchy().CopyFrom(hierarchy)
return builder.GetParallelDescSymbol(parallel_conf)
def MakeParallelConf(device_tag, machine_device_ids):
assert isinstance(machine_device_ids, (list, tuple))
parallel_conf = placement_cfg.ParallelConf()
parallel_conf.set_device_tag(device_tag)
for machine_device_id in machine_device_ids:
assert isinstance(
machine_device_id, str
), "type of machine_device_id (%s) is not string" % type(machine_device_id)
assert re.match("^\d+:\d+(-\d+)?$", machine_device_id) is not None, (
"machine_device_id: %s is not valid" % machine_device_id
)
parallel_conf.add_device_name(machine_device_id)
return parallel_conf
def JobBuildAndInferCtx_GetParallelConfFromProducerView(job_name, lbn):
job_name = str(job_name)
lbn = str(lbn)
GetParallelConf = (
oneflow_api.JobBuildAndInferCtx_GetSerializedParallelConfFromProducerView
)
parallel_conf = GetParallelConf(job_name, lbn)
parallel_conf = text_format.Parse(parallel_conf, placement_pb.ParallelConf())
# TODO(oyy) change temporary transformation after python code migrated into cpp code
parallel_conf_cfg = placement_cfg.ParallelConf()
parallel_conf_cfg.set_device_tag(parallel_conf.device_tag)
for device_name in parallel_conf.device_name:
parallel_conf_cfg.add_device_name(device_name)
return parallel_conf_cfg
def ReplaceDeviceTag(parallel_desc_symbol, device_tag, builder=None):
assert parallel_desc_symbol.device_tag != device_tag
parallel_conf = placement_cfg.ParallelConf()
parallel_conf.set_device_tag(device_tag)
for device_name in parallel_desc_symbol.parallel_conf.device_name():
parallel_conf.add_device_name(device_name)
hierarchy = shape_proto_cfg.ShapeProto()
for dim in parallel_desc_symbol.hierarchy:
hierarchy.add_dim(dim)
assert hierarchy.dim_size() > 0
parallel_conf.mutable_hierarchy().CopyFrom(hierarchy)
if builder is None:
return oneflow_api.PlacementSymbol(parallel_desc_symbol.symbol_id,
parallel_conf)
else:
return builder.GetParallelDescSymbol(parallel_conf)
def MakeParallelConf(device_tag, machine_device_ids):
assert isinstance(machine_device_ids, collections.Sized)
parallel_conf = placement_cfg.ParallelConf()
parallel_conf.set_device_tag(device_tag)
for machine_device_id in machine_device_ids:
assert isinstance(
machine_device_id,
str), "type of machine_device_id (%s) is not string" % type(
machine_device_id)
assert re.match("^\d+:\d+(-\d+)?$", machine_device_id) is not None, (
"machine_device_id: %s is not valid" % machine_device_id)
pair = machine_device_id.split(":")
parallel_conf.add_device_name("%s:%s" % (pair[0], pair[1]))
return parallel_conf
def RandomParallelIdPerMachine(parallel_desc_symbol,
device_tag=None,
builder=None):
if device_tag is None:
device_tag = parallel_desc_symbol.parallel_conf.device_tag()
assert device_tag is not None
parallel_conf = placement_cfg.ParallelConf()
parallel_conf.set_device_tag(device_tag)
for machine_id, dev_ids in parallel_desc_symbol.machine_id2device_id_list.items(
):
dev_id = dev_ids[random.randint(0, len(dev_ids) - 1)]
parallel_conf.add_device_name("@%s:%s" % (machine_id, dev_id))
if builder is None:
return oneflow_api.PlacementSymbol(parallel_desc_symbol.symbol_id,
parallel_conf)
else:
return builder.GetParallelDescSymbol(parallel_conf)
def JobBuildAndInferCtx_GetParallelConfFromProducerView(job_name, lbn):
job_name = str(job_name)
lbn = str(lbn)
GetParallelConf = (
oneflow_internal.JobBuildAndInferCtx_GetSerializedParallelConfFromProducerView
)
parallel_conf, error_str = GetParallelConf(job_name, lbn)
error = text_format.Parse(error_str, error_util.ErrorProto())
if error.HasField("error_type"):
raise JobBuildAndInferError(error)
parallel_conf = text_format.Parse(parallel_conf, placement_pb.ParallelConf())
# TODO(oyy) change temporary transformation after python code migrated into cpp code
parallel_conf_cfg = placement_cfg.ParallelConf()
parallel_conf_cfg.set_device_tag(parallel_conf.device_tag)
for device_name in parallel_conf.device_name:
parallel_conf_cfg.add_device_name(device_name)
return parallel_conf_cfg
def _GetInterfaceBlobObject(builder, op_name):
sess = session_ctx.GetDefaultSession()
if oneflow_api.EagerExecutionEnabled():
return sess.var_name2var_blob[op_name].blob_object
sess = session_ctx.GetDefaultSession()
op_attribute = sess.OpAttribute4InterfaceOpName(op_name)
cfg_op_attribute = oneflow_api.deprecated.MakeOpAttributeByString(
str(op_attribute))
parallel_conf = sess.ParallelConf4LazyInterfaceOpName(op_name)
if not isinstance(parallel_conf,
oneflow_api.oneflow.core.job.placement.ParallelConf):
parallel_conf_cfg = placement_cfg.ParallelConf()
parallel_conf_cfg.set_device_tag(parallel_conf.device_tag)
for device_name in parallel_conf.device_name:
parallel_conf_cfg.add_device_name(device_name)
parallel_conf = parallel_conf_cfg
blob_object = builder.MakeLazyRefBlobObject(op_name, cfg_op_attribute,
parallel_conf)
return blob_object
def InterNodeOneToMany(builder, produced_blob_object, consumer_op_arg_parallel_attr):
out_blobs = []
consumer_dev_ids = (
consumer_op_arg_parallel_attr.parallel_desc_symbol.machine_id2device_id_list
)
for machine_id, device_ids in consumer_dev_ids.items():
for device_id in device_ids:
parallel_conf = placement_cfg.ParallelConf()
parallel_conf.set_device_tag("cpu")
parallel_conf.add_device_name("%s:%s" % (machine_id, device_id))
parallel_desc_symbol = builder.GetParallelDescSymbol(parallel_conf)
out_blob = builder.Build121To(produced_blob_object, parallel_desc_symbol)
out_blobs.append(out_blob)
return PackPhysicalBoxingBlobObjectsToLogical(
builder,
out_blobs,
consumer_op_arg_parallel_attr,
produced_blob_object.op_arg_blob_attr,
)
def _GetReturnOpConfAndOutLbiAndScope(remote_blob, allow_cpu_return_op=True):
op_conf = op_conf_util.OperatorConf()
op_conf.name = id_util.UniqueStr("Return_")
setattr(op_conf.return_conf, "in", remote_blob.unique_name)
op_conf.return_conf.out = "out"
if allow_cpu_return_op:
op_conf.device_tag = "cpu"
lbi = logical_blob_id_util.LogicalBlobId()
lbi.op_name = op_conf.name
lbi.blob_name = "out"
parallel_conf = placement_cfg.ParallelConf()
parallel_conf.CopyFrom(remote_blob.parallel_conf)
def BuildScope(old_scope, builder):
return builder.BuildScopeWithNewParallelConf(old_scope, parallel_conf)
sess = session_ctx.GetDefaultSession()
scope = scope_util.MakeScope(BuildScope)
return op_conf, lbi, scope
