[CodeStyle][Typos][U-9] Fix typo (Unsupport) (part4)

_typos.toml

@@ -54,4 +54,3 @@ vaccum = 'vaccum'
 
 # These words need to be fixed
 setted = 'setted'
-UNSUPPORT = 'UNSUPPORT'

python/paddle/base/dygraph/base.py

@@ -76,7 +76,7 @@ def in_sot_simulation_mode() -> bool:
 in_declarative_mode = in_to_static_mode
 
 
-def to_static_unsupport_argument_warning(
+def to_static_unsupported_argument_warning(
     func_name, input_names, inputs, support_values
 ):
     """
@@ -804,7 +804,7 @@ def grad(
         # to calculate grads.
         from paddle.static import gradients
 
-        to_static_unsupport_argument_warning(
+        to_static_unsupported_argument_warning(
             "paddle.grad",
             ["retain_graph", "create_grad", "only_inputs", "allow_unused"],
             [retain_graph, create_graph, only_inputs, allow_unused],

python/paddle/tensor/creation.py

@@ -2740,7 +2740,7 @@ def assign(x: TensorLike, output: paddle.Tensor | None = None) -> paddle.Tensor:
                 )
             ):
                 raise TypeError(
-                    "Unsupport paddle.assign([Variable, Variable...]) with non-scalar variable."
+                    "Unsupported paddle.assign([Variable, Variable...]) with non-scalar variable."
                 )
 
             def convert_scalar(x):

python/paddle/utils/download.py

@@ -276,7 +276,7 @@ def _decompress(fname):
     elif zipfile.is_zipfile(fname):
         uncompressed_path = _uncompress_file_zip(fname)
     else:
-        raise TypeError(f"Unsupport compress file type {fname}")
+        raise TypeError(f"Unsupported compress file type {fname}")
 
     return uncompressed_path
 

test/cpp/fluid/benchmark/op_tester.cc

@@ -253,7 +253,7 @@ void OpTester::CreateOpDesc() {
       case framework::proto::AttrType::LONGS:
       default:
         PADDLE_THROW(common::errors::Unimplemented(
-            "Unsupport attr type %d in OpTester.", type));
+            "Unsupported attr type %d in OpTester.", type));
     }
   }
 }
@@ -496,7 +496,7 @@ std::string OpTester::DebugString() {
       } break;
       default:
         PADDLE_THROW(common::errors::Unimplemented(
-            "Unsupport attr type %d in OpTester.", attr_type));
+            "Unsupported attr type %d in OpTester.", attr_type));
     }
     ss << GenSpaces(--count) << "}\n";
   }

test/dygraph_to_static/ifelse_simple_func.py

@@ -473,7 +473,7 @@ def dyfunc_ifelse_ret_int4(x):
     if pred:
         y = x[index] + 1
         index = index + 1
-        return 'unsupport ret'
+        return 'unsupported ret'
     else:
         y = x[index] + 2
         return y

test/dygraph_to_static/test_load_transformer.py

@@ -37,7 +37,7 @@ def __init__(self):
         super().__init__()
 
     def forward(self, x):
-        # unsupport g as store.
+        # unsupported g as store.
         t = g * 2 + x
         t = f.var * t
         return t

test/ipu/test_cumsum_op_ipu.py

@@ -29,7 +29,7 @@ def setUp(self):
         self.set_feed_attr()
         self.set_op_attrs()
 
-    # popart unsupport fp16 cumsum
+    # part unsupported fp16 cumsum
     @property
     def fp16_enabled(self):
         return False

test/legacy_test/test_bce_loss.py

@@ -238,7 +238,9 @@ def test_BCELoss_weight(self):
     def test_BCELoss_error(self):
         paddle.disable_static()
         self.assertRaises(
-            ValueError, paddle.nn.loss.BCELoss, reduction="unsupport reduction"
+            ValueError,
+            paddle.nn.loss.BCELoss,
+            reduction="unsupported reduction",
         )
         input = paddle.to_tensor([[0.1, 0.3]], dtype='float32')
         label = paddle.to_tensor([[0.0, 1.0]], dtype='float32')
@@ -247,7 +249,7 @@ def test_BCELoss_error(self):
             paddle.nn.functional.binary_cross_entropy,
             input=input,
             label=label,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         paddle.enable_static()
 

test/legacy_test/test_bce_with_logits_loss.py

@@ -325,7 +325,7 @@ def test_BCEWithLogitsLoss_error(self):
         self.assertRaises(
             ValueError,
             paddle.nn.BCEWithLogitsLoss,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         logit = paddle.to_tensor([[0.1, 0.3]], dtype='float32')
         label = paddle.to_tensor([[0.0, 1.0]], dtype='float32')
@@ -334,7 +334,7 @@ def test_BCEWithLogitsLoss_error(self):
             paddle.nn.functional.binary_cross_entropy_with_logits,
             logit=logit,
             label=label,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         paddle.enable_static()
 

test/legacy_test/test_multi_label_soft_margin_loss.py

@@ -204,7 +204,7 @@ def test_MultiLabelSoftMarginLoss_error(self):
         self.assertRaises(
             ValueError,
             paddle.nn.MultiLabelSoftMarginLoss,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         input = paddle.to_tensor([[0.1, 0.3]], dtype='float32')
         label = paddle.to_tensor([[0.0, 1.0]], dtype='float32')
@@ -213,7 +213,7 @@ def test_MultiLabelSoftMarginLoss_error(self):
             paddle.nn.functional.multi_label_soft_margin_loss,
             input=input,
             label=label,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         paddle.enable_static()
 

test/legacy_test/test_multimarginloss.py

@@ -304,7 +304,7 @@ def test_MultiMarginLoss_error(self):
         self.assertRaises(
             ValueError,
             paddle.nn.MultiMarginLoss,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         input = paddle.to_tensor([[0.1, 0.3]], dtype='float32')
         label = paddle.to_tensor([0], dtype='int32')
@@ -313,7 +313,7 @@ def test_MultiMarginLoss_error(self):
             paddle.nn.functional.multi_margin_loss,
             input=input,
             label=label,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         paddle.enable_static()
 

test/legacy_test/test_norm_all.py

@@ -1406,7 +1406,9 @@ def err_dtype(p, shape_x, xdtype, out=None):
             data = paddle.static.data(
                 name="data_2d", shape=[2, 2], dtype="float64"
             )
-            self.assertRaises(ValueError, paddle.norm, data, p="unsupport norm")
+            self.assertRaises(
+                ValueError, paddle.norm, data, p="unsupported norm"
+            )
             self.assertRaises(ValueError, paddle.norm, data, p=[1])
             self.assertRaises(ValueError, paddle.norm, data, p=[1], axis=-1)
             self.assertRaises(ValueError, paddle.norm, 0, [1, 0], "float64")

test/legacy_test/test_poisson_nll_loss.py

@@ -161,7 +161,7 @@ def test_dynamic_case(
                 log_input=log_input,
                 full=full,
                 epsilon=epsilon,
-                reduction="unsupport reduction",
+                reduction="unsupported reduction",
             )
         elif type == 'test_err_epsilon':
             self.assertRaises(

test/legacy_test/test_sigmoid_focal_loss.py

@@ -195,7 +195,7 @@ def test_SigmoidFocalLoss_error(self):
             logit=logit,
             label=label,
             normalizer=None,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         paddle.enable_static()
 

test/legacy_test/test_soft_margin_loss.py

@@ -181,7 +181,7 @@ def test_SoftMarginLoss_error(self):
         self.assertRaises(
             ValueError,
             paddle.nn.loss.SoftMarginLoss,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         input = paddle.to_tensor([[0.1, 0.3]], dtype='float32')
         label = paddle.to_tensor([[-1.0, 1.0]], dtype='float32')
@@ -190,7 +190,7 @@ def test_SoftMarginLoss_error(self):
             paddle.nn.functional.soft_margin_loss,
             input=input,
             label=label,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         paddle.enable_static()
 

test/legacy_test/test_triplet_margin_loss.py

@@ -275,7 +275,7 @@ def test_TripletMarginLoss_error(self):
         self.assertRaises(
             ValueError,
             paddle.nn.loss.TripletMarginLoss,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         input = paddle.to_tensor([[0.1, 0.3]], dtype='float32')
         positive = paddle.to_tensor([[0.0, 1.0]], dtype='float32')
@@ -286,7 +286,7 @@ def test_TripletMarginLoss_error(self):
             input=input,
             positive=positive,
             negative=negative,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         paddle.enable_static()
 

test/legacy_test/test_triplet_margin_with_distance_loss.py

@@ -277,7 +277,7 @@ def test_TripletMarginDistanceLoss_error(self):
         self.assertRaises(
             ValueError,
             paddle.nn.TripletMarginWithDistanceLoss,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         input = paddle.to_tensor([[0.1, 0.3]], dtype='float32')
         positive = paddle.to_tensor([[0.0, 1.0]], dtype='float32')
@@ -288,7 +288,7 @@ def test_TripletMarginDistanceLoss_error(self):
             input=input,
             positive=positive,
             negative=negative,
-            reduction="unsupport reduction",
+            reduction="unsupported reduction",
         )
         paddle.enable_static()
 

test/legacy_test/test_zeropad2d.py

@@ -28,16 +28,16 @@ class TestZeroPad2dAPIError(unittest.TestCase):
 
     def setUp(self):
         """
-        unsupport dtypes
+        unsupported dtypes
         """
         self.shape = [4, 3, 224, 224]
-        self.unsupport_dtypes = ['bool', 'int8']
+        self.unsupported_dtypes = ['bool', 'int8']
 
-    def test_unsupport_dtypes(self):
+    def test_unsupported_dtypes(self):
         """
-        test unsupport dtypes.
+        test unsupported dtypes.
         """
-        for dtype in self.unsupport_dtypes:
+        for dtype in self.unsupported_dtypes:
             pad = 2
             x = np.random.randint(-255, 255, size=self.shape)
             x_tensor = to_tensor(x).astype(dtype)

test/sot/test_unsupport_function.py → test/sot/test_unsupported_function.py

@@ -25,7 +25,7 @@ def call_locals(x: int, y: paddle.Tensor):
     return x + y + len(list(tmp.keys())), list(tmp.keys())
 
 
-class TestUnsupportFunction(TestCaseBase):
+class TestUnsupportedFunction(TestCaseBase):
     @strict_mode_guard(False)
     def test_locals(self):
         x = paddle.to_tensor([2])