Fix typos in test directory (#66981)

co63oc · web-flow · commit 4b822fd6c590 · 2025-02-25T10:40:31.000+08:00
diff --git a/test/collective/README.md b/test/collective/README.md
@@ -7,14 +7,14 @@
     the properties are the following:
 * `name`: the test's name
 * `os`: The supported operator system, ignoring case. If the test run in multiple operator systems, use ";" to split systems, for example, `apple;linux` means the test runs on both Apple and Linux. The supported values are `linux`,`win32` and `apple`. If the value is empty, this means the test runs on all operator systems.
-* `arch`: the device's architecture. similar to `os`, multiple values are splited by ";" and ignoring case. The supported architectures are `gpu`, `xpu` and `rocm`.
+* `arch`: the device's architecture. similar to `os`, multiple values are split by ";" and ignoring case. The supported architectures are `gpu`, `xpu` and `rocm`.
 * `timeout`: timeout of a unittest, whose unit is second. Blank means default.
 * `run_type`: run_type of a unittest. Supported values are `NIGHTLY`, `EXCLUSIVE`, `CINN`, `DIST`, `GPUPS`, `INFER`, `EXCLUSIVE:NIGHTLY`, `DIST:NIGHTLY`，which are case-insensitive.
 * `launcher`: the test launcher.Supported values are test_runner.py, dist_test.sh and custom scripts' name. Blank means test_runner.py.
 * `num_port`: the number of port used in a distributed unit test. Blank means automatically distributed port.
 * `run_serial`: whether in serial mode. the value can be 1 or 0.Default (empty) is 0. Blank means default.
-* `ENVS`: required environments. multiple environments are splited by ";".
-* `conditions`: extra required conditions for some tests. The value is a list of boolean expression in cmake programmer, splited with ";". For example, the value can be `WITH_DGC;NOT WITH_NCCL` or `WITH_NCCL;${NCCL_VERSION} VERSION_GREATER_EQUAL 2212`,The relationship between these expressions is a conjunction.
+* `ENVS`: required environments. multiple environments are split by ";".
+* `conditions`: extra required conditions for some tests. The value is a list of boolean expression in cmake programmer, split with ";". For example, the value can be `WITH_DGC;NOT WITH_NCCL` or `WITH_NCCL;${NCCL_VERSION} VERSION_GREATER_EQUAL 2212`,The relationship between these expressions is a conjunction.
 
 ### step 3. Generate CMakeLists.txt
     Run the cmd:
diff --git a/test/deprecated/legacy_test/test_group_norm_op_deprecated.py b/test/deprecated/legacy_test/test_group_norm_op_deprecated.py
@@ -1529,7 +1529,7 @@ def get_static_desire(self, place):
             if core._is_fwd_prim_enabled():
                 paddle.incubate.autograd.primapi.to_prim(mp.blocks)
                 fwd_ops_new = [op.type for op in blocks[0].ops]
-                # Ensure that group_norm is splitted into small ops
+                # Ensure that group_norm is split into small ops
                 assert 'group_norm' not in fwd_ops_new
 
             grads = paddle.static.gradients([output], [input_, scale_, bias_])
@@ -1621,7 +1621,7 @@ def test_static_comp(self):
                     if core._is_fwd_prim_enabled():
                         paddle.incubate.autograd.primapi.to_prim(mp.blocks)
                         fwd_ops_new = [op.type for op in blocks[0].ops]
-                        # Ensure that group_norm is splitted into small ops
+                        # Ensure that group_norm is split into small ops
                         assert 'group_norm' not in fwd_ops_new
 
                     grads = paddle.static.gradients(
diff --git a/test/deprecated/legacy_test/test_instance_norm_op_deprecated.py b/test/deprecated/legacy_test/test_instance_norm_op_deprecated.py
@@ -502,7 +502,7 @@ def get_static_desire(self, place):
             if core._is_fwd_prim_enabled():
                 paddle.incubate.autograd.primapi.to_prim(mp.blocks)
                 fwd_ops_new = [op.type for op in blocks[0].ops]
-                # Ensure that instance_norm is splitted into small ops
+                # Ensure that instance_norm is split into small ops
                 assert 'instance_norm' not in fwd_ops_new
 
             grads = paddle.static.gradients([output], [input_, scale_, bias_])
@@ -586,7 +586,7 @@ def test_static_comp(self):
                     if core._is_fwd_prim_enabled():
                         paddle.incubate.autograd.primapi.to_prim(mp.blocks)
                         fwd_ops_new = [op.type for op in blocks[0].ops]
-                        # Ensure that instance_norm is splitted into small ops
+                        # Ensure that instance_norm is split into small ops
                         assert 'instance_norm' not in fwd_ops_new
 
                     grads = paddle.static.gradients(
diff --git a/test/deprecated/prim/composite_ops/test_composite_batch_norm_deprecated.py b/test/deprecated/prim/composite_ops/test_composite_batch_norm_deprecated.py
@@ -207,7 +207,7 @@ def cal_static(inputs, running_mean, running_variance, weight, bias, mode=None):
         if mode:
             primapi.to_prim(blocks)
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that batch_norm is splitted into small ops
+            # Ensure that batch_norm is split into small ops
             assert (
                 'batch_norm' not in fwd_ops_new
                 and 'reduce_mean' not in fwd_ops_new
diff --git a/test/deprecated/prim/composite_ops/test_composite_gelu_deprecated.py b/test/deprecated/prim/composite_ops/test_composite_gelu_deprecated.py
@@ -90,7 +90,7 @@ def cal_composite(self, inputs):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that gelu is splitted into small ops
+            # Ensure that gelu is split into small ops
             self.assertTrue('gelu' not in fwd_ops_new)
 
         exe = paddle.static.Executor()
diff --git a/test/deprecated/prim/composite_ops/test_composite_gelu_grad_deprecated.py b/test/deprecated/prim/composite_ops/test_composite_gelu_grad_deprecated.py
@@ -98,7 +98,7 @@ def cal_composite_grad(self, inputs):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that gelu is splitted into small ops
+            # Ensure that gelu is split into small ops
             self.assertTrue('gelu' not in fwd_ops_new)
 
             z = paddle.static.gradients([y], x)
diff --git a/test/deprecated/prim/composite_ops/test_composite_layer_norm_deprecated.py b/test/deprecated/prim/composite_ops/test_composite_layer_norm_deprecated.py
@@ -166,7 +166,7 @@ def cal_composite(self, inputs, norm_shape, weight, bias):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that layer_norm is splitted into small ops
+            # Ensure that layer_norm is split into small ops
             self.assertTrue('layer_norm' not in fwd_ops_new)
 
         exe = paddle.static.Executor()
@@ -205,7 +205,7 @@ def cal2_composite(self, inputs, norm_shape, weight, bias):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that layer_norm is splitted into small ops
+            # Ensure that layer_norm is split into small ops
             self.assertTrue('layer_norm' not in fwd_ops_new)
 
         exe = paddle.static.Executor()
diff --git a/test/deprecated/prim/composite_ops/test_composite_layer_norm_grad_deprecated.py b/test/deprecated/prim/composite_ops/test_composite_layer_norm_grad_deprecated.py
@@ -222,7 +222,7 @@ def static_comp_forward(self, inputs, norm_shape, weight, bias, y_g):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that layer_norm is splitted into small ops
+            # Ensure that layer_norm is split into small ops
             self.assertTrue('layer_norm' not in fwd_ops_new)
 
             z = paddle.static.gradients([y], [x, w, b], y_grad)
@@ -273,7 +273,7 @@ def static_comp_forward_withNone(
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that layer_norm is splitted into small ops
+            # Ensure that layer_norm is split into small ops
             self.assertTrue('layer_norm' not in fwd_ops_new)
 
             z = paddle.static.gradients([y], x, y_grad)
@@ -663,7 +663,7 @@ def static_comp_forward(self, inputs, norm_shape, weight, bias, y_grad):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that layer_norm is splitted into small ops
+            # Ensure that layer_norm is split into small ops
             self.assertTrue('layer_norm' not in fwd_ops_new)
 
             z = paddle.static.gradients([y], x, y_g)
diff --git a/test/deprecated/prim/composite_ops/test_composite_mean_deprecated.py b/test/deprecated/prim/composite_ops/test_composite_mean_deprecated.py
@@ -93,7 +93,7 @@ def cal_composite(self, inputs):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that reduce_mean is splitted into small ops
+            # Ensure that reduce_mean is split into small ops
             self.assertTrue('reduce_mean' not in fwd_ops_new)
 
         exe = paddle.static.Executor()
diff --git a/test/deprecated/prim/composite_ops/test_composite_mean_grad_deprecated.py b/test/deprecated/prim/composite_ops/test_composite_mean_grad_deprecated.py
@@ -99,7 +99,7 @@ def cal_composite_grad(self, inputs):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that reduce_mean is splitted into small ops
+            # Ensure that reduce_mean is split into small ops
             self.assertTrue('reduce_mean' not in fwd_ops_new)
 
             z = paddle.static.gradients([y], x)
diff --git a/test/deprecated/prim/composite_ops/test_composite_softmax_custom_vjp_deprecated.py b/test/deprecated/prim/composite_ops/test_composite_softmax_custom_vjp_deprecated.py
@@ -93,7 +93,7 @@ def cal_composite_grad(self, inputs):
             paddle.incubate.autograd.primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that softmax is splitted into small ops
+            # Ensure that softmax is split into small ops
             self.assertTrue('softmax' not in fwd_ops_new)
 
             z = paddle.static.gradients([y], x)
diff --git a/test/deprecated/prim/composite_ops/test_composite_softmax_deprecated.py b/test/deprecated/prim/composite_ops/test_composite_softmax_deprecated.py
@@ -88,7 +88,7 @@ def cal_composite(self, inputs):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that softmax is splitted into small ops
+            # Ensure that softmax is split into small ops
             self.assertTrue('softmax' not in fwd_ops_new)
 
         exe = paddle.static.Executor()
diff --git a/test/deprecated/prim/composite_ops/test_composite_softmax_grad_deprecated.py b/test/deprecated/prim/composite_ops/test_composite_softmax_grad_deprecated.py
@@ -94,7 +94,7 @@ def cal_composite_grad(self, inputs):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that softmax is splitted into small ops
+            # Ensure that softmax is split into small ops
             self.assertTrue('softmax' not in fwd_ops_new)
 
             z = paddle.static.gradients([y], x)
diff --git a/test/deprecated/prim/prim/flags/test_prim_flags_deprecated.py b/test/deprecated/prim/prim/flags/test_prim_flags_deprecated.py
@@ -93,7 +93,7 @@ def not_in_blacklist(self):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that softmax is splitted into small ops
+            # Ensure that softmax is split into small ops
             self.assertTrue('softmax' not in fwd_ops_new)
 
         exe = paddle.static.Executor()
@@ -122,7 +122,7 @@ def in_blacklist(self):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that softmax is splitted into small ops
+            # Ensure that softmax is split into small ops
             self.assertTrue('softmax' in fwd_ops_new)
 
         exe = paddle.static.Executor()
diff --git a/test/deprecated/prim/process/test_copy_op_deprecated.py b/test/deprecated/prim/process/test_copy_op_deprecated.py
@@ -53,7 +53,7 @@ def cal_composite(self, inputs):
             primapi.to_prim(blocks)
 
             fwd_ops_new = [op.type for op in blocks[0].ops]
-            # Ensure that dropout is not splitted into small ops
+            # Ensure that dropout is not split into small ops
             self.assertTrue('dropout' in fwd_ops_new)
 
         exe = paddle.static.Executor()
diff --git a/test/prim/pir_prim/test_pir_prim_flags.py b/test/prim/pir_prim/test_pir_prim_flags.py
@@ -43,7 +43,7 @@ def not_in_blacklist(self, op_name):
             z = decomp.decompose(main_program, [z])
 
             fwd_ops_new = [op.name() for op in main_program.global_block().ops]
-            # Ensure that tanh is splitted into small ops
+            # Ensure that tanh is split into small ops
             self.assertTrue(op_name not in fwd_ops_new)
 
         exe = paddle.static.Executor()
@@ -72,7 +72,7 @@ def in_blacklist(self, op_name):
             z = decomp.decompose(main_program, [z])
 
             fwd_ops_new = [op.name() for op in main_program.global_block().ops]
-            # Ensure that tanh is splitted into small ops
+            # Ensure that tanh is split into small ops
             self.assertTrue(op_name in fwd_ops_new)
 
         exe = paddle.static.Executor()
