Fix words

test/ir/pir/cinn/symbolic/test_cinn_sub_graph_symbolic.py

@@ -106,7 +106,7 @@ def eval_symbolic(self, use_cinn):
         out = net(self.x)
         return out
 
-    def test_eval_symolic(self):
+    def test_eval_symbolic(self):
         cinn_out = self.eval_symbolic(use_cinn=True)
         dy_out = self.eval_symbolic(use_cinn=False)
         np.testing.assert_allclose(cinn_out.numpy(), dy_out.numpy(), atol=1e-8)
@@ -128,7 +128,7 @@ def eval_symbolic(self, use_cinn):
         out = net(self.x)
         return out
 
-    def test_eval_symolic(self):
+    def test_eval_symbolic(self):
         import os
 
         is_debug = os.getenv('IS_DEBUG_DY_SHAPE')
@@ -161,7 +161,7 @@ def eval_symbolic(self, use_cinn):
         out = net(self.x, self.y)
         return out
 
-    def test_eval_symolic(self):
+    def test_eval_symbolic(self):
         # cinn_out = self.eval_symbolic(use_cinn=True)
         dy_out = self.eval_symbolic(use_cinn=False)
         # np.testing.assert_allclose(cinn_out.numpy(), dy_out.numpy(), atol=1e-8)

test/ir/pir/fused_pass/pass_test.py

@@ -49,12 +49,12 @@ def check_fused_ops(self, program):
         )
         op_names = [op.name() for op in program.global_block().ops]
         for valid_op_name, valid_op_count in self.valid_op_map.items():
-            acctual_valid_op_count = op_names.count(valid_op_name)
+            actual_valid_op_count = op_names.count(valid_op_name)
             self.assertTrue(
-                valid_op_count == acctual_valid_op_count,
+                valid_op_count == actual_valid_op_count,
                 "Checking of the number of fused operator < {} > failed. "
                 "Expected: {}, Received: {}".format(
-                    valid_op_name, valid_op_count, acctual_valid_op_count
+                    valid_op_name, valid_op_count, actual_valid_op_count
                 ),
             )
 

test/ir/pir/fused_pass/test_conv2d_add_act_fuse_pass.py

@@ -43,7 +43,7 @@ class TestConv2dAddActFusePattern(PassTest):
     def is_program_valid(self, program):
         return True
 
-    def build_ir_progam(self):
+    def build_ir_program(self):
         with paddle.pir_utils.IrGuard():
             main_prog = paddle.static.Program()
             start_prog = paddle.static.Program()
@@ -86,7 +86,7 @@ def setUp(self):
         self.skip_accuracy_verification = True
 
     def sample_program(self):
-        yield self.build_ir_progam(), False
+        yield self.build_ir_program(), False
 
     def test_check_output(self):
         self.check_pass_correct()
@@ -114,7 +114,7 @@ class TestConv2dAdd2ActFusePattern(PassTest):
     def is_program_valid(self, program):
         return True
 
-    def build_ir_progam(self):
+    def build_ir_program(self):
         with paddle.pir_utils.IrGuard():
             main_prog = paddle.static.Program()
             start_prog = paddle.static.Program()
@@ -165,7 +165,7 @@ def setUp(self):
         self.skip_accuracy_verification = True
 
     def sample_program(self):
-        yield self.build_ir_progam(), False
+        yield self.build_ir_program(), False
 
     def test_check_output(self):
         self.check_pass_correct()

test/ir/pir/fused_pass/test_conv2d_add_fuse_pass.py

@@ -35,7 +35,7 @@ class TestConv2dAddFusePass(PassTest):
     def is_program_valid(self, program=None):
         return True
 
-    def build_ir_progam(self):
+    def build_ir_program(self):
         with paddle.pir_utils.IrGuard():
             main_prog = paddle.static.Program()
             start_prog = paddle.static.Program()
@@ -70,7 +70,7 @@ def build_ir_progam(self):
                 return [main_prog, start_prog]
 
     def sample_program(self):
-        yield self.build_ir_progam(), False
+        yield self.build_ir_program(), False
 
     def setUp(self):
         if core.is_compiled_with_cuda():

test/ir/pir/fused_pass/test_conv2d_bn_fuse_pass.py

@@ -35,7 +35,7 @@ class TestConv2dBnPassPattern(PassTest):
     def is_program_valid(self, program=None):
         return True
 
-    def build_ir_progam(self):
+    def build_ir_program(self):
         with paddle.pir_utils.IrGuard():
             main_prog = paddle.static.Program()
             start_prog = paddle.static.Program()
@@ -70,7 +70,7 @@ def build_ir_progam(self):
                 return [main_prog, start_prog]
 
     def sample_program(self):
-        pir_program = self.build_ir_progam()
+        pir_program = self.build_ir_program()
         yield pir_program, False
 
     def test_check_output(self):

test/ir/pir/fused_pass/test_fused_weight_only_linear_pass.py

@@ -44,7 +44,7 @@ def get_cuda_version():
     "weight_only_linear requires CUDA >= 11.2",
 )
 class TestFusedWeightOnlyLinearPass_Fp32(PassTest):
-    def is_conifg_valid(self, w_shape, bias_shape):
+    def is_config_valid(self, w_shape, bias_shape):
         if w_shape[-1] != bias_shape[0]:
             return False
 
@@ -99,7 +99,7 @@ def sample_program(self):
         for dtype in ['float16', "float32"]:
             for w_shape in [[64, 64], [64, 15]]:
                 for bias_shape in [[64], [15]]:
-                    if self.is_conifg_valid(w_shape, bias_shape) is False:
+                    if self.is_config_valid(w_shape, bias_shape) is False:
                         continue
                     with paddle.pir_utils.IrGuard():
                         start_prog = paddle.static.Program()

test/ir/pir/fused_pass/test_pir_fc_elementwise_layernorm_fuse_pass.py

@@ -39,7 +39,7 @@ def sample_program(self):
         for x_shape in [[3, 2]]:
             for w_shape in [[2, 3]]:
                 for y_shape in [[1, 3], [3]]:
-                    for bais_shape in [[3, 3]]:
+                    for bias_shape in [[3, 3]]:
                         for with_relu in [True, False]:
                             with paddle.pir_utils.IrGuard():
                                 start_prog = paddle.static.Program()
@@ -68,7 +68,7 @@ def sample_program(self):
 
                                     bias1 = paddle.static.data(
                                         name='bias1',
-                                        shape=bais_shape,
+                                        shape=bias_shape,
                                         dtype='float32',
                                     )
 
@@ -93,7 +93,7 @@ def sample_program(self):
                                             "float32"
                                         ),
                                         "bias1": np.random.random(
-                                            bais_shape
+                                            bias_shape
                                         ).astype("float32"),
                                     }
                                     self.fetch_list = [out]