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empty cache #5147

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10 changes: 4 additions & 6 deletions fastdeploy/model_executor/layers/linear.py
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Original file line number Diff line number Diff line change
Expand Up @@ -360,10 +360,6 @@ def __init__(
self.output_sizes = output_sizes

def weight_loader(self, param, loaded_weight, loaded_shard_id: Optional[str] = None):
weight_need_transpose = getattr(param, "weight_need_transpose", False)
if weight_need_transpose:
loaded_weight = get_tensor(loaded_weight).transpose([1, 0])

assert loaded_shard_id in ["q_a", "kv_a"]
if not param._is_initialized():
param.initialize()
Expand All @@ -389,7 +385,6 @@ def weight_loader(self, param, loaded_weight, loaded_shard_id: Optional[str] = N
else:
loaded_weight = loaded_weight.cast(param.dtype)
# (bukejiyu) After this fix, the early H2D copy for non-GPU devices is no longer needed and can be safely removed.
loaded_weight = get_tensor(loaded_weight)
h2d_copy(param, loaded_weight)


Expand Down Expand Up @@ -962,7 +957,10 @@ def __init__(
self.num_heads_per_partition = divide(num_attention_heads, self.nranks)
self.local_rank = fd_config.parallel_config.tensor_parallel_rank
self.fd_config = fd_config
self.kv_b_proj = kv_b_proj
if self.fd_config.load_config.load_choices == "default_v1":
self.kv_b_proj = kv_b_proj
else:
self.kv_b_proj = None

self.weight_dtype = self._helper.get_default_dtype()

Expand Down
8 changes: 5 additions & 3 deletions fastdeploy/model_executor/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -141,7 +141,7 @@ def process_weight_transpose(layer, weight_name):
is_bias=False,
)
if layer.fd_config.load_config.dynamic_load_weight or layer.fd_config.model_config.enable_cache:
free_tensor(weight)
free_tensor(weight, clear_memory=False)
setattr(layer, weight_name, weight_tmp)
return

Expand All @@ -150,7 +150,7 @@ def process_weight_transpose(layer, weight_name):
elif len(weight.shape) == 3:
weight_transpose = weight.transpose([0, 2, 1])
weight_tmp.copy_(weight_transpose, False)
free_tensor(weight)
free_tensor(weight, clear_memory=False)
setattr(layer, weight_name, weight_tmp)


Expand Down Expand Up @@ -260,11 +260,13 @@ def process_final_after_loading(model, fd_config: FDConfig):
sublayer.process_weights_after_loading()


def free_tensor(tensor):
def free_tensor(tensor, clear_memory=True):
if hasattr(tensor, "tensor_track"):
tensor.tensor_track = None
tensor.value().get_tensor()._clear()
del tensor
if clear_memory:
paddle.device.cuda.empty_cache()


def fd_cast(weight, param):
Expand Down
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