Fix some typos (exmaple, CustomDevce, etc.)

test/custom_op/test_custom_relu_model.py

@@ -53,7 +53,7 @@
 
 class Net(nn.Layer):
     """
-    A simple exmaple for Regression Model.
+    A simple example for Regression Model.
     """
 
     def __init__(self, in_dim, out_dim, use_custom_op=False):
@@ -102,7 +102,7 @@ def setUp(self):
         self.temp_dir = tempfile.TemporaryDirectory()
         self.model_save_dir = os.path.join(self.temp_dir.name, 'infer_model')
         self.model_path_template = os.path.join(
-            self.model_save_dir, 'custom_relu_dygaph_model_{}.pdparams'
+            self.model_save_dir, 'custom_relu_dygraph_model_{}.pdparams'
         )
         self.model_dy2stat_path = os.path.join(
             self.model_save_dir, 'infer_model/custom_relu_model_dy2sta'

test/custom_op/test_inference_gap_setup.py

@@ -45,7 +45,7 @@ def forward(self, x):
 
 class TestNewCustomOpSetUpInstall(unittest.TestCase):
     def setUp(self):
-        # TODO(ming1753): skip window CI beacuse run_cmd(cmd) filed
+        # TODO(ming1753): skip window CI because run_cmd(cmd) filed
         if os.name != 'nt':
             cur_dir = os.path.dirname(os.path.abspath(__file__))
             # compile, install the custom op egg into site-packages under background

test/custom_runtime/extension_header_test.cc

@@ -19,6 +19,6 @@
 // !!! do not fix this ut by adding other header files (PR#60842) !!!
 #include "paddle/phi/extension.h"
 
-TEST(CustomDevce, extension_header) {
+TEST(CustomDevice, extension_header) {
   VLOG(1) << "check extension header support compile only";
 }

test/dataset/test_image.py

@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """
-Fliename:
+Filename:
     test_image.py
 Description:
-    This scipt test image resize,flip and chw.
+    This script test image resize,flip and chw.
 """
 import os
 import unittest
@@ -34,10 +34,10 @@ class Image(unittest.TestCase):
 
     def test_resize_flip_chw(self):
         """resize"""
-        imgdir = os.path.join(
+        img_dir = os.path.join(
             os.path.dirname(os.path.abspath(__file__)), 'cat.jpg'
         )
-        images = image.load_image(imgdir)
+        images = image.load_image(img_dir)
         images = image.resize_short(images, 256)
         self.assertEqual(256, min(images.shape[:2]))
         self.assertEqual(3, images.shape[2])

test/distributed_passes/auto_parallel_pass_test_base.py

@@ -33,7 +33,7 @@
 )
 
 
-class AutoPallelPassTestBase(DistPassTestBase):
+class AutoParallelPassTestBase(DistPassTestBase):
     def setUp(self):
         paddle.enable_static()
         seed = int(os.environ.get('SEED', -1))

test/distributed_passes/test_auto_parallel_amp_pass.py

@@ -16,13 +16,13 @@
 import unittest
 
 import numpy as np
-from auto_parallel_pass_test_base import AutoPallelPassTestBase
+from auto_parallel_pass_test_base import AutoParallelPassTestBase
 
 import paddle
 from paddle.distributed import fleet
 
 
-class TestAMPPass(AutoPallelPassTestBase):
+class TestAMPPass(AutoParallelPassTestBase):
     def init(self):
         if paddle.is_compiled_with_cuda():
             paddle.set_flags({'FLAGS_cudnn_deterministic': 1})

test/distributed_passes/test_auto_parallel_data_parallel_optimization_pass.py

@@ -17,7 +17,7 @@
 import unittest
 
 import numpy as np
-from auto_parallel_pass_test_base import AutoPallelPassTestBase
+from auto_parallel_pass_test_base import AutoParallelPassTestBase
 
 import paddle
 from paddle.distributed import fleet
@@ -32,7 +32,7 @@
 sys.path.append("..")
 
 
-class TestDataParallelPassWithScale1(AutoPallelPassTestBase):
+class TestDataParallelPassWithScale1(AutoParallelPassTestBase):
     def init(self):
         if paddle.is_compiled_with_cuda():
             paddle.set_flags({'FLAGS_cudnn_deterministic': 1})

test/distributed_passes/test_auto_parallel_fp16_pass.py

@@ -16,13 +16,13 @@
 import unittest
 
 import numpy as np
-from auto_parallel_pass_test_base import AutoPallelPassTestBase
+from auto_parallel_pass_test_base import AutoParallelPassTestBase
 
 import paddle
 from paddle.distributed import fleet
 
 
-class TestPF16Pass(AutoPallelPassTestBase):
+class TestPF16Pass(AutoParallelPassTestBase):
     def init(self):
         if paddle.is_compiled_with_cuda():
             paddle.set_flags({'FLAGS_cudnn_deterministic': 1})

test/distributed_passes/test_auto_parallel_fused_linear_promotion_pass.py

@@ -181,7 +181,7 @@ def test_fused_linear_promotion_mp(self):
             rank=0, enable_fused_linear_promotion=False, enable_sp=False
         )
         ops_without_promotion = dist_main_prog.global_block().ops
-        oringin_fused_gemm_epilogue_ops = [
+        origin_fused_gemm_epilogue_ops = [
             op
             for op in ops_without_promotion
             if op.type == "fused_gemm_epilogue"
@@ -196,7 +196,7 @@ def test_fused_linear_promotion_mp(self):
         ]
         self.assertEqual(
             len(fused_gemm_epilogue_ops),
-            len(oringin_fused_gemm_epilogue_ops) + 2,
+            len(origin_fused_gemm_epilogue_ops) + 2,
         )
 
 

test/distributed_passes/test_auto_parallel_gradient_merge_pass.py

@@ -17,7 +17,7 @@
 import unittest
 
 import numpy as np
-from auto_parallel_pass_test_base import AutoPallelPassTestBase
+from auto_parallel_pass_test_base import AutoParallelPassTestBase
 
 import paddle
 import paddle.nn.functional as F
@@ -101,7 +101,7 @@ def mlp_forward(input, label, hidden_size):
     return loss
 
 
-class TestGradientMergePass(AutoPallelPassTestBase):
+class TestGradientMergePass(AutoParallelPassTestBase):
     def init(self):
         paddle.seed(2022)
         random.seed(2022)

test/distributed_passes/test_auto_parallel_recompute_pass.py

@@ -16,13 +16,13 @@
 import unittest
 
 import numpy as np
-from auto_parallel_pass_test_base import AutoPallelPassTestBase
+from auto_parallel_pass_test_base import AutoParallelPassTestBase
 
 import paddle
 from paddle.distributed import fleet
 
 
-class TestRecomputePass(AutoPallelPassTestBase):
+class TestRecomputePass(AutoParallelPassTestBase):
     def init(self):
         if paddle.is_compiled_with_cuda():
             paddle.set_flags({'FLAGS_cudnn_deterministic': 1})

test/distributed_passes/test_auto_parallel_sharding_pass.py

@@ -16,13 +16,13 @@
 import unittest
 
 import numpy as np
-from auto_parallel_pass_test_base import AutoPallelPassTestBase
+from auto_parallel_pass_test_base import AutoParallelPassTestBase
 
 import paddle
 from paddle.distributed import fleet
 
 
-class TestShardingPass(AutoPallelPassTestBase):
+class TestShardingPass(AutoParallelPassTestBase):
     def init(self):
         if paddle.is_compiled_with_cuda():
             paddle.set_flags({'FLAGS_cudnn_deterministic': 1})

test/distribution/config.py

@@ -20,7 +20,7 @@
 DEFAULT_DTYPE = 'float64'
 
 TEST_CASE_NAME = 'suffix'
-# All test case will use float64 for compare percision, refs:
+# All test case will use float64 for compare precision, refs:
 # https://github.com/PaddlePaddle/Paddle/wiki/Upgrade-OP-Precision-to-Float64
 RTOL = {
     'float32': 1e-03,