Fix some typos. (#50429)

* Fix some typos.
Signed-off-by: Yulv-git <yulvchi@qq.com>

* pre-commit
Signed-off-by: Yulv-git <yulvchi@qq.com>

---------
Signed-off-by: Yulv-git <yulvchi@qq.com>

paddle/CMakeLists.txt

@@ -33,7 +33,7 @@ add_subdirectory(ir)
 
 # Next, (to be discusssed)
 # (1) move all source files to same folder,
-# (2) naturally, and and configure tests in only one `CMakeLists.txt`,
+# (2) naturally, and configure tests in only one `CMakeLists.txt`,
 # (3) cc tests support linking pre-built dynamic libraries. For example, use the dynamic
 # library in the installed paddle by `pip`.
 

paddle/fluid/framework/data_set.h

@@ -156,7 +156,7 @@ class Dataset {
   virtual void DestroyPreLoadReaders() = 0;
   // set preload thread num
   virtual void SetPreLoadThreadNum(int thread_num) = 0;
-  // seperate train thread and dataset thread
+  // separate train thread and dataset thread
   virtual void DynamicAdjustChannelNum(int channel_num,
                                        bool discard_remaining_ins = false) = 0;
   virtual void DynamicAdjustReadersNum(int thread_num) = 0;

paddle/fluid/framework/op_desc.h

@@ -219,7 +219,7 @@ class OpDesc {
     return ret_val;
   }
 
-  // it it really needed? or just maintain a ptr from block?
+  // Is it really needed? Or just maintain a ptr from the block?
   proto::OpDesc desc_;
   BlockDesc *block_{nullptr};  // not_own
   // input arg name => input variable names

paddle/fluid/framework/operator.cc

@@ -3502,7 +3502,7 @@ void OperatorWithKernel::BuildPhiKernelContext(
   // we try to add these Attrs to the RuntimeAttrs, but these OpDesc will lose
   // the RuntimeAttrs information in the process of converting the Graph to
   // the Program, so additional record configuration will be introduced,
-  // which increases the The cost of development and understanding, so we
+  // which increases the cost of development and understanding, so we
   // still use Attrs to get and the attributes set by these passes from Attrs
   // for the time being. In the future, it is necessary to clarify the
   // positioning of RuntimeAttrs and expand related functions.

paddle/fluid/framework/var_desc.h

@@ -210,7 +210,7 @@ class VarDesc {
   proto::VarType::TensorDesc *mutable_tensor_desc();
   std::vector<proto::VarType::TensorDesc *> mutable_tensor_descs();
 
-  // it it really needed? or just mantain a ptr from block?
+  // Is it really needed? Or just mantain a ptr from the block?
   proto::VarDesc desc_;
   AttributeMap attrs_;
 

paddle/fluid/inference/tensorrt/convert/c_allreduce_op.cc

@@ -56,7 +56,7 @@ class CAllReduceOpConverter : public OpConverter {
         output_num,
         1UL,
         platform::errors::InvalidArgument(
-            "The ouput Out's size must equal to 1 in TRT c_allreduce op. "
+            "The output Out's size must equal to 1 in TRT c_allreduce op. "
             "But received Out's size %u.",
             output_num));
     // Get attrs

paddle/fluid/operators/cinn/cinn_launch_context.cc

@@ -237,7 +237,8 @@ std::unordered_set<std::string> CinnLaunchContext::ExtractInternalVarNames(
   };
 
   VLOG(1) << "Input var list: " << string::join_strings(input_var_names, ", ");
-  VLOG(1) << "Ouput var list: " << string::join_strings(output_var_names, ", ");
+  VLOG(1) << "Output var list: "
+          << string::join_strings(output_var_names, ", ");
   std::for_each(
       input_var_names.begin(), input_var_names.end(), exclude_names_fn);
   std::for_each(

paddle/fluid/operators/dlnne/dlnne_engine_op.h

@@ -277,7 +277,7 @@ class DlnneEngineOp : public framework::OperatorBase {
 
       std::string rlym_file_name =
           subgraph_root_path_ + "/" + engine_key_ + ".rlym";
-      // quantize don't support set quantized ouput model path now,
+      // quantize don't support set quantized output model path now,
       // the quantized model file is in current dir
       std::string quantized_rlym_file_name = engine_key_ + ".quantized.rlym";
 

paddle/fluid/operators/fused/attn_gemm_int8.h

@@ -90,7 +90,7 @@ class AttnMatmulINT8 {
       PADDLE_ENFORCE_EQ(cudaGetLastError(),
                         cudaSuccess,
                         platform::errors::Fatal(
-                            "cuda error occured after computing bias. "
+                            "cuda error occurred after computing bias. "
                             "But it does not mean this error is caused by "
                             "bias computing"));
     }
@@ -144,7 +144,7 @@ class AttnMatmulINT8 {
       PADDLE_ENFORCE_EQ(cudaGetLastError(),
                         cudaSuccess,
                         platform::errors::Fatal(
-                            "cuda error occured after computing bias. "
+                            "cuda error occurred after computing bias. "
                             "But it does not mean this error is caused by "
                             "bias computing"));
     }

paddle/fluid/operators/fused/fused_gate_attention.h

@@ -715,7 +715,7 @@ class FMHAGateRef {
                       softmax_out->dims(),
                       platform::errors::InvalidArgument(
                           "The shape of qk_out_grad and softmax_out is "
-                          "expected to be the same. But recieved qk_out_grad's "
+                          "expected to be the same. But received qk_out_grad's "
                           "shape = %s, softmax_out's shape = %s.",
                           qk_out_grad->dims(),
                           softmax_out->dims()));

paddle/fluid/operators/fused/fused_gate_attention_op.cu

@@ -376,7 +376,7 @@ class FusedGateAttentionOpKernel : public framework::OpKernel<T> {
           true,
           platform::errors::InvalidArgument(
               "key is expected to be nullptr or the same as "
-              "query, but recieved key=%p, query=%p.",
+              "query, but received key=%p, query=%p.",
               key,
               query));
 

paddle/fluid/operators/kldiv_loss_op.cc

@@ -71,7 +71,7 @@ class KLDivLossOpMaker : public framework::OpProtoAndCheckerMaker {
 
          While :attr:`reduction` is :attr:`none`, output loss is in
          the same shape as Input(X), loss in each point is calculated
-         seperately and no reduction is applied.
+         separately and no reduction is applied.
 
          While :attr:`reduction` is :attr:`mean`, output loss is in
          shape of [1] and loss value is the mean value of all losses.

paddle/fluid/operators/linear_chain_crf_op.cc

@@ -52,8 +52,8 @@ class LinearChainCRFOpMaker : public framework::OpProtoAndCheckerMaker {
         "The forward vectors for the entire batch. Denote it as $\alpha$. "
         "$\alpha$ is a memo table used to calculate the normalization "
         "factor in CRF. $\alpha[k, v]$ stores the unnormalized "
-        "probabilites of all possible unfinished sequences of tags that end at "
-        "position $k$ with tag $v$. For each $k$, "
+        "probabilities of all possible unfinished sequences of tags that end "
+        "at position $k$ with tag $v$. For each $k$, "
         "$\alpha[k, v]$ is a vector of length $D$ with a component for "
         "each tag value $v$. This vector is called a forward vecotr and "
         "will also be used in backward computations.")

paddle/phi/infermeta/binary.cc

@@ -1099,7 +1099,7 @@ void DropoutNdInferMeta(const MetaTensor& x,
       x_dims.size(),
       phi::errors::InvalidArgument(
           "The length of axis is expected to be less than or equal to the "
-          "dimension size of x. But recieved the length of axis is %d, the "
+          "dimension size of x. But received the length of axis is %d, the "
           "dimension size of x is %d, x's shape is {%s}.",
           axis.size(),
           x_dims.size(),
@@ -1111,7 +1111,7 @@ void DropoutNdInferMeta(const MetaTensor& x,
         phi::errors::InvalidArgument(
             "The %d-th value of axis is expected to be greater ot "
             "equal to 0 and less than the dimensions of x. But "
-            "recieved axis is {%s}, the dimension size of x is %d.",
+            "received axis is {%s}, the dimension size of x is %d.",
             i,
             phi::make_ddim(axis),
             x_dims.size()));

paddle/phi/infermeta/nullary.cc

@@ -32,7 +32,7 @@ void CreateInferMeta(const IntArray& shape, DataType dtype, MetaTensor* out) {
           0,
           phi::errors::InvalidArgument(
               "Each value of attribute 'shape' is expected to be no less "
-              "than 0. But recieved: shape[%u] = %d; shape = [%s].",
+              "than 0. But received: shape[%u] = %d; shape = [%s].",
               i,
               data[i],
               phi::make_ddim(data)));

paddle/phi/kernels/cpu/gather_tree_kernel.cc

@@ -54,7 +54,7 @@ void GatherTreeKernel(const Context &dev_ctx,
             parent,
             beam_size,
             phi::errors::InvalidArgument(
-                "The parents must be less than beam size, but recieved"
+                "The parents must be less than beam size, but received"
                 "parents %d is greater than or equal to beam size %d. ",
                 parent,
                 beam_size));

paddle/phi/kernels/funcs/broadcast_function.h

@@ -862,7 +862,7 @@ void BroadcastKernelForDifferentVecSize(
       kArity,
       phi::errors::InvalidArgument("The number of inputs is expected to be "
                                    "equal to the "
-                                   "arity of functor. But recieved: the "
+                                   "arity of functor. But received: the "
                                    "number of inputs "
                                    "is %d, the arity of functor is %d.",
                                    ins.size(),

paddle/phi/kernels/gpu/gather_tree_kernel.cu

@@ -37,7 +37,7 @@ __global__ void GatherTree(const T *ids_data,
     auto parent = parents_data[idx];
     for (int step = max_length - 2; step >= 0; step--) {
       PADDLE_ENFORCE((parent < beam_size),
-                     "The parents must be less than beam size, but recieved"
+                     "The parents must be less than beam size, but received"
                      "parents %ld is greater than or equal to beam size %ld. ",
                      parent,
                      beam_size);

paddle/scripts/README.md

@@ -35,7 +35,7 @@ A principle here is that source code lies on the development computer (host) so
 
 ### Build Environments
 
-The lastest pre-built build environment images are:
+The latest pre-built build environment images are:
 
 | Image | Tag |
 | ----- | --- |

python/paddle/distributed/auto_parallel/interface.py

@@ -119,13 +119,13 @@ def shard_op(op, process_mesh=None, in_shard_specs=None, out_shard_specs=None):
         in_shard_specs (list of list, optional): a list of list to describe the sharding specifications
             for the inputs. Each item of `in_shard_specs` is a `shard_spec` between the correspoinding input
             and `process_mesh`. If one item is None, the cooresponding input is replicated across all processes
-            If it is None, all inputs are replicated accross all processes. Note that the lenght of the
+            If it is None, all inputs are replicated across all processes. Note that the lenght of the
             `in_shard_specs` should be equal to the actual number of inputs when calling this operation.
             Default: None.
         out_shard_specs (list of list, optional): a list of list to describe the sharding specifications
             for the outputs. Each item of `out_shard_specs` is a `shard_spec` between the correspoinding output
             and `process_mesh`. If one item is None, the cooresponding output is replicated across all processes
-            If it is None, all outputs are replicated accross all processes. Note that the lenght of the
+            If it is None, all outputs are replicated across all processes. Note that the lenght of the
             `in_shard_specs` should be equal to the actual number of inputs when calling this operation.
             Default: None. Default: None.
 

python/paddle/fluid/dygraph/layers.py

@@ -67,7 +67,7 @@ def _scope_dist2single(dist_scope):
         "column_parallel_linear": "linear",
         "vocab_parallel_embedding": "embedding",
         # "parallel_cross_entropy": "cross_entropy", while mp_layer has parallel_cross_entropy,
-        # but there is no parameters so the mapping of parallel_cross_entropy is not neccessary.
+        # but there is no parameters so the mapping of parallel_cross_entropy is not necessary.
     }
     return mapping.get(dist_scope, dist_scope)
 

python/paddle/fluid/tests/unittests/ir/inference/auto_scan_test.py

@@ -653,7 +653,7 @@ class TrtLayerAutoScanTest(AutoScanTest):
             os.getenv('TEST_NUM_PERCENT_CASES', default='1.0')
         )
 
-        # Use a seperate random generator for skipping tests
+        # Use a separate random generator for skipping tests
         self.skip_rng = np.random.default_rng(int(time.strftime("%W")))
 
     def create_inference_config(self, use_trt=True) -> paddle_infer.Config:

python/paddle/fluid/tests/unittests/test_fused_gate_attention_op.py

@@ -338,7 +338,7 @@ class TestFusedGateAttentionOp(OpTest):
                 # matmul(x, y, transpose_x=False, transpose_y=True). With different
                 # transpose_x and transpose_y, cublas will launch different kernels
                 # and the result cannot be exactly equal.
-                # Because the arguments of matmul in einsum is the the same as
+                # Because the arguments of matmul in einsum are the same as
                 # that in fused ops, check_equal is set to False and we use allclose
                 # to check the correctness.
                 check_equal = False

python/paddle/incubate/autograd/primreg.py

@@ -147,7 +147,7 @@ def REGISTER_FN(op_type, *position_argnames):
 
     Args:
         op_type(str): The op name
-        position_argnames(list[str]): Input and ouput names of the op
+        position_argnames(list[str]): Input and output names of the op
 
     Returns:
         wrapper: Inner wrapper function

python/paddle/incubate/nn/layer/fused_transformer.py

@@ -121,7 +121,7 @@ class FusedBiasDropoutResidualLayerNorm(Layer):
         super().__init__()
         assert embed_dim > 0, (
             "Expected embed_dim to be greater than 0, "
-            "but recieved {}".format(embed_dim)
+            "but received {}".format(embed_dim)
         )
         self._dtype = self._helper.get_default_dtype()
         self._bias_attr = bias_attr

python/paddle/optimizer/lr.py

@@ -108,7 +108,7 @@ class LRScheduler:
 
     def __call__(self):
         """
-        Return lastest computed learning rate on current epoch.
+        Return latest computed learning rate on current epoch.
         """
         return self.last_lr
 

python/paddle/static/nn/common.py

@@ -1816,11 +1816,11 @@ def conv3d_transpose(
         W^\prime_{out} &= (W_{in} − 1) * strides[2] + dilations[2] * (W_f − 1) + 1
 
     If `output_size` is None, :math:`D_{out} = D^\prime_{out}, :math:`H_{out} = \
-    H^\prime_{out}, W_{out} = W^\prime_{out}`; else, the specified `output_size_depth` (the depth of the ouput feature layer) :math:`D_{out}`
+    H^\prime_{out}, W_{out} = W^\prime_{out}`; else, the specified `output_size_depth` (the depth of the output feature layer) :math:`D_{out}`
     must between :math:`D^\prime_{out}` and :math:`D^\prime_{out} + strides[0]`(not including :math:`D^\prime_{out} + strides[0]`),
-    the specified `output_size_height` (the height of the ouput feature layer) :math:`H_{out}` must between :math:`H^\prime_{out}`
+    the specified `output_size_height` (the height of the output feature layer) :math:`H_{out}` must between :math:`H^\prime_{out}`
     and :math:`H^\prime_{out} + strides[1]`(not including :math:`H^\prime_{out} + strides[1]`),
-    and the the specified `output_size_width` (the width of the ouput feature layer) :math:`W_{out}` must
+    and the specified `output_size_width` (the width of the output feature layer) :math:`W_{out}` must
     between :math:`W^\prime_{out}` and :math:`W^\prime_{out} + strides[2]`(not including :math:`W^\prime_{out} + strides[2]`).
 
     Since transposed convolution can be treated as the inverse of convolution,

tools/get_single_test_cov.py

@@ -37,7 +37,7 @@ def getFNDAFile(rootPath, test):
     os.system('touch %s' % fn_filename)
     try:
         f = open(filename)
-        print("oepn %s succesfully" % filename)
+        print("oepn %s successfully" % filename)
     except FileNotFoundError:
         print("%s is not found." % filename)
         return
@@ -84,7 +84,7 @@ def analysisFNDAFile(rootPath, test):
         notrelated_ut_map_file
     ):
         print(
-            "make %s and %s succesfully"
+            "make %s and %s successfully"
             % (related_ut_map_file, related_ut_map_file)
         )
     else:
@@ -96,7 +96,7 @@ def analysisFNDAFile(rootPath, test):
     fn_filename = '%s/build/ut_map/%s/fnda.tmp' % (rootPath, test)
     try:
         f = open(fn_filename)
-        print("oepn %s succesfully" % fn_filename)
+        print("oepn %s successfully" % fn_filename)
     except FileNotFoundError:
         print("%s is not found." % fn_filename)
         return
@@ -148,7 +148,7 @@ def getBaseFnda(rootPath, test):
     filename = '%s/build/ut_map/%s/coverage.info.tmp' % (rootPath, test)
     try:
         f = open(filename)
-        print("oepn %s succesfully" % filename)
+        print("oepn %s successfully" % filename)
     except FileNotFoundError:
         print("%s is not found." % filename)
     symbol_fnda = {}
@@ -228,7 +228,7 @@ def getCovinfo(rootPath, test):
         )
         return
     else:
-        print("get coverage.info of %s succesfully" % ut_map_path)
+        print("get coverage.info of %s successfully" % ut_map_path)
     os.system(
         "cd %s && lcov --extract coverage.info '/paddle/paddle/phi/*' '/paddle/paddle/utils/*' '/paddle/paddle/fluid/*' '/paddle/build/*' -o coverage.info.tmp --rc lcov_branch_coverage=0 > /dev/null 2>&1"
         % ut_map_path
@@ -239,7 +239,7 @@ def getCovinfo(rootPath, test):
         print("coverage.info.tmp is empty,collect coverage rate failed")
         return
     else:
-        print("get coverage.info.tmp succesfully")
+        print("get coverage.info.tmp successfully")
 
     os.system('rm -rf %s/paddle' % ut_map_path)
     os.system('rm -rf %s/coverage.info' % ut_map_path)