Fix typos (#50852)

python/paddle/signal.py

@@ -46,7 +46,7 @@ def frame(x, frame_length, hop_length, axis=-1, name=None):
         The output frames tensor with shape `[..., frame_length, num_frames]` if `axis==-1`,
             otherwise `[num_frames, frame_length, ...]` where
 
-            `num_framse = 1 + (x.shape[axis] - frame_length) // hop_length`
+            `num_frames = 1 + (x.shape[axis] - frame_length) // hop_length`
 
     Examples:
 
@@ -357,7 +357,7 @@ def stft(
         )
 
         pad_length = n_fft // 2
-        # FIXME: Input `x` can be a complex tensor but pad does not supprt complex input.
+        # FIXME: Input `x` can be a complex tensor but pad does not support complex input.
         x = paddle.nn.functional.pad(
             x.unsqueeze(-1),
             pad=[pad_length, pad_length],
@@ -428,13 +428,13 @@ def istft(
     - :math:`H`: Value of `hop_length`.
 
         Result of `istft` expected to be the inverse of `paddle.signal.stft`, but it is
-        not guaranteed to reconstruct a exactly realizible time-domain signal from a STFT
+        not guaranteed to reconstruct a exactly realizable time-domain signal from a STFT
         complex tensor which has been modified (via masking or otherwise). Therefore, `istft`
         gives the `[Griffin-Lim optimal estimate] <https://ieeexplore.ieee.org/document/1164317>`_
         (optimal in a least-squares sense) for the corresponding signal.
 
     Args:
-        x (Tensor): The input data which is a 2-dimensional or 3-dimensional **complesx**
+        x (Tensor): The input data which is a 2-dimensional or 3-dimensional **complex**
             Tensor with shape `[..., n_fft, num_frames]`.
         n_fft (int): The size of Fourier transform.
         hop_length (int, optional): Number of steps to advance between adjacent windows
@@ -550,7 +550,7 @@ def istft(
     if win_length < n_fft:
         pad_left = (n_fft - win_length) // 2
         pad_right = n_fft - win_length - pad_left
-        # FIXME: Input `window` can be a complex tensor but pad does not supprt complex input.
+        # FIXME: Input `window` can be a complex tensor but pad does not support complex input.
         window = paddle.nn.functional.pad(
             window, pad=[pad_left, pad_right], mode='constant'
         )

tools/count_api_without_core_ops.py

@@ -215,7 +215,7 @@ if __name__ == "__main__":
     else:
         print(
             """Usage:
-            1. Count and list all operator-raleated APIs that contains append_op but not _legacy_C_ops.xx.
+            1. Count and list all operator-related APIs that contains append_op but not _legacy_C_ops.xx.
                 python ./count_api_without_core_ops.py -c paddle
             2. Print api and the md5 of source code of the api.
                 python ./count_api_without_core_ops.py -p paddle

tools/infrt/generate_pd_op_dialect_from_paddle_op_maker.py

@@ -16,7 +16,7 @@ import paddle.fluid.framework as framework
 from paddle.fluid import core
 
 
-# collect original ops: op which has both inference and grid defination
+# collect original ops: op which has both inference and grad definition
 def get_original_ops():
     all_ops, _, _ = core.op_supported_infos('CPU', core.VarDesc.VarType.FP16)
     grad_ops = []
@@ -224,7 +224,7 @@ def get_constraint(op_type, op_proto):
     return constraint
 
 
-# funtion to generate paddle op dialect file
+# function to generate paddle op dialect file
 def convert_op_proto_into_mlir(op_descs):
     dst_dialect_file = "../../paddle/infrt/dialect/pd/ir/pd_ops.td"
 

tools/infrt/generate_phi_kernel_dialect.py

@@ -125,7 +125,7 @@ def generate_inputs_info(input_info):
     input_args_ = ""
     for index in range(len(input_info)):
         [target_, layout_, precision_] = input_info[index].split(',')
-        # todo: check vadility
+        # todo: check validity
         target_ = target_type_converter[target_.strip()]
         layout_ = layout_type_converter[layout_.strip()]
         precision_ = precision_type_converter[precision_.strip()]
@@ -153,7 +153,7 @@ def generate_results_info(output_info):
     output_args_ = "let results = (outs "
     for index in range(len(output_info)):
         [target_, layout_, precision_] = output_info[index].split(',')
-        # todo: check vadility
+        # todo: check validity
         target_ = target_type_converter[target_.strip()]
         layout_ = layout_type_converter[layout_.strip()]
         precision_ = precision_type_converter[precision_.strip()]

tools/infrt/get_phi_kernel_info.py

@@ -47,7 +47,7 @@ def get_skipped_kernel_list():
 
 
 def parse_args():
-    parser = argparse.ArgumentParser("gather phi kernel and infermate info")
+    parser = argparse.ArgumentParser("gather phi kernel and infermeta info")
     parser.add_argument(
         "--paddle_root_path",
         type=str,

tools/infrt/print_kernel_pass_info.py

@@ -42,16 +42,16 @@ def get_compat_kernels_info(register):
                 txt = f.readlines()
                 content = ""
                 registry = False
-                is_macro_defination = False
+                is_macro_definition = False
                 for line in txt:
                     if line.strip().startswith(
                         "#define"
                     ) and line.strip().endswith("\\"):
-                        is_macro_defination = True
+                        is_macro_definition = True
                         continue
-                    if is_macro_defination:
+                    if is_macro_definition:
                         if not line.strip().endswith("\\"):
-                            is_macro_defination = False
+                            is_macro_definition = False
                         continue
 
                     if register in line: