From cce133d806937369c26cbf480d16c233dc7fd6c3 Mon Sep 17 00:00:00 2001
From: x54-729 <17307130121@fudan.edu.cn>
Date: Sun, 17 Jul 2022 00:10:05 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0oneflow.full=E7=9A=84?=
 =?UTF-8?q?=E5=8F=82=E6=95=B0?=
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---
 fastNLP/core/collators/padders/oneflow_padder.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/fastNLP/core/collators/padders/oneflow_padder.py b/fastNLP/core/collators/padders/oneflow_padder.py
index 30d73e26..3f2b8bce 100644
--- a/fastNLP/core/collators/padders/oneflow_padder.py
+++ b/fastNLP/core/collators/padders/oneflow_padder.py
@@ -169,7 +169,7 @@ class OneflowTensorPadder(Padder):
         else:
             max_shape = [len(batch_field)] + [max(*_) for _ in zip(*shapes)]
 
-        tensor = oneflow.full(max_shape, value=pad_val, dtype=dtype, device=device)
+        tensor = oneflow.full(max_shape, fill_value=pad_val, dtype=dtype, device=device)
         for i, field in enumerate(batch_field):
             slices = (i, ) + tuple(slice(0, s) for s in shapes[i])
             tensor[slices] = field
@@ -221,6 +221,6 @@ def get_padded_oneflow_tensor(batch_field, dtype=None, pad_val=0):
     :return:
     """
     shapes = get_shape(batch_field)
-    tensor = oneflow.full(shapes, dtype=dtype, value=pad_val)
+    tensor = oneflow.full(shapes, dtype=dtype, fill_value=pad_val)
     tensor = fill_tensor(batch_field, tensor, dtype=dtype)
     return tensor