Fix some typos(faied, etc)

paddle/fluid/framework/fleet/gloo_wrapper.cc

@@ -141,7 +141,7 @@ std::vector<char> HdfsStore::get(const std::string& key) {
   PADDLE_ENFORCE_EQ(read_status,
                     0,
                     paddle::platform::errors::Fatal(
-                        "HdfsStore::get, path read faied: " + path));
+                        "HdfsStore::get, path read failed: " + path));
 #endif
   return result;
 }

paddle/fluid/framework/fleet/gloo_wrapper.h

@@ -95,7 +95,7 @@ class ParallelConnectContext : public gloo::rendezvous::Context {
       : gloo::rendezvous::Context(rank, size, base) {}
   virtual ~ParallelConnectContext() {}
   // in gloo::rendezvous::Context wait&get one by one,
-  // slowly in case big size, especialy in HdfsStore
+  // slowly in case big size, especially in HdfsStore
   void connectFullMesh(Store& store,                              // NOLINT
                        std::shared_ptr<transport::Device>& dev);  // NOLINT
   struct Impl {

paddle/fluid/framework/fleet/heter_ps/feature_value.h

@@ -75,7 +75,7 @@ class CommonFeatureValueAccessor {
     __host__ __device__ int EmbedDim() const { return embed_sgd_dim; }
     __host__ __device__ int EmbedXDim() const { return embedx_sgd_dim; }
     __host__ __device__ int EmbedWDim() const { return embedx_dim; }
-    __host__ __device__ int CpuPtrIndex() const { return 0; }  // cpuprt uint64
+    __host__ __device__ int CpuPtrIndex() const { return 0; }  // cpu_ptr uint64
     __host__ __device__ int DeltaScoreIndex() const {
       return CpuPtrIndex() + 2;
     }
@@ -686,7 +686,7 @@ class CommonFeatureValueAccessor {
         std::vector<float> embedx_w;
     */
     std::stringstream os;
-    os << "cpuptr: " << common_feature_value.CpuPtr(const_cast<float*>(v))
+    os << "cpu_ptr: " << common_feature_value.CpuPtr(const_cast<float*>(v))
        << " delta_score: " << v[2] << " show: " << v[3] << " click: " << v[4]
        << " embed_w:" << v[5] << " embed_g2sum:";
     for (int i = common_feature_value.EmbedG2SumIndex();
@@ -732,7 +732,7 @@ struct FeatureValue {
   friend std::ostream& operator<<(std::ostream& out, FeatureValue& val) {
     out << "show: " << val.show << " clk: " << val.clk << " slot: " << val.slot
         << " lr: " << val.lr << " mf_dim: " << val.mf_dim
-        << "cpuptr: " << val.cpu_ptr << " mf_size: " << val.mf_size << " mf:";
+        << "cpu_ptr: " << val.cpu_ptr << " mf_size: " << val.mf_size << " mf:";
     for (int i = 0; i < val.mf_dim + 1; ++i) {
       out << " " << val.mf[i];
     }

paddle/fluid/framework/fleet/heter_ps/gpu_graph_utils.h

@@ -96,7 +96,7 @@ inline void debug_gpu_memory_info(int gpu_id, const char* desc) {
       err,
       cudaSuccess,
       platform::errors::InvalidArgument("cudaMemGetInfo failed!"));
-  VLOG(0) << "updatex gpu memory on device " << gpu_id << ", "
+  VLOG(0) << "update gpu memory on device " << gpu_id << ", "
           << "avail=" << avail / 1024.0 / 1024.0 / 1024.0 << "g, "
           << "total=" << total / 1024.0 / 1024.0 / 1024.0 << "g, "
           << "use_rate=" << (total - avail) / static_cast<double>(total)

paddle/fluid/framework/fleet/heter_ps/heter_comm.h

@@ -278,7 +278,7 @@ class HeterComm {
       h_push_fea_sizes.resize(node_size * node_size);
     }
   };
-  // pull parition shard key by devices
+  // pull partition shard key by devices
   struct PullResource {
     size_t h_recv_fea_num = 0;
     uint32_t* d_restore_keys_idx = nullptr;

paddle/fluid/framework/io/crypto/aes_cipher.cc

@@ -12,19 +12,6 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
 #include "paddle/fluid/framework/io/crypto/aes_cipher.h"
 
 #include <cryptopp/aes.h>

paddle/fluid/framework/io/crypto/aes_cipher.h

@@ -12,19 +12,6 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
 #pragma once
 
 #include <string>

paddle/fluid/framework/ir/fusion_group/code_generator.cc

@@ -366,7 +366,7 @@ std::unordered_map<Node*, int> CodeGenerator::EncodeVarNodes(
 
   // Encoding output vars.
   for (auto* out : output_var_nodes) {
-    VLOG(3) << "Ecoding output names:" << out->Name() << "(" << out
+    VLOG(3) << "Encoding output names:" << out->Name() << "(" << out
             << "), id:" << id;
     if (var_ids.find(out) == var_ids.end()) {
       var_ids[out] = id++;

paddle/fluid/framework/ir/fusion_group/fusion_group_pass.cc

@@ -37,7 +37,7 @@ void FusionGroupPass::ApplyImpl(ir::Graph* graph) const {
     // if (!phi::GPUDeviceCode::IsAvailable()) {
     //   LOG(WARNING)
     //       << "Disable fusion_group because CUDA Driver or NVRTC is not
-    //       avaiable.";
+    //       available.";
     //   return 0;
     // }