fixup! Fixing linting/formatting and more issues.

onnxruntime/python/onnxruntime_pybind_state.cc

@@ -744,7 +744,7 @@ std::unique_ptr<IExecutionProvider> CreateExecutionProviderInstance(
           } else if (option.second == "False" || option.second == "false") {
             params.migraphx_fp16_enable = false;
           } else {
-            ORT_THROW("[ERROR] [MIGraphX] The value for the key 'trt_fp16_enable' should be
+            ORT_THROW("[ERROR] [MIGraphX] The value for the key 'trt_fp16_enable' should be \
                                                                        'True' or 'False'. Default value is 'False'.\n");
           }
         } else if (option.first == "migraphx_int8_enable") {
@@ -753,15 +753,15 @@ std::unique_ptr<IExecutionProvider> CreateExecutionProviderInstance(
           } else if (option.second == "False" || option.second == "false") {
             params.migraphx_int8_enable = false;
           } else {
-            ORT_THROW("[ERROR] [MIGraphX] The value for the key 'migx_int8_enable' should be
+            ORT_THROW("[ERROR] [MIGraphX] The value for the key 'migx_int8_enable' should be \
                                                                        'True' or 'False'. Default value is 'False'.\n");
           }
         } else if (option.first == "migraphx_int8_calibration_table_name") {
           if (!option.second.empty()) {
             calibration_table = option.second;
             params.migraphx_int8_calibration_table_name = calibration_table.c_str();
           } else {
-            ORT_THROW("[ERROR] [MIGraphX] The value for the key 'migx_int8_calibration_table_name' should be a
+            ORT_THROW("[ERROR] [MIGraphX] The value for the key 'migx_int8_calibration_table_name' should be a \
                                                                                        file name i.e. 'cal_table'.\n");
           }
         } else if (option.first == "migraphx_use_native_calibration_table") {
@@ -770,7 +770,7 @@ std::unique_ptr<IExecutionProvider> CreateExecutionProviderInstance(
           } else if (option.second == "False" || option.second == "false") {
             params.migraphx_use_native_calibration_table = false;
           } else {
-            ORT_THROW("[ERROR] [MIGraphX] The value for the key 'migx_int8_use_native_calibration_table' should be
+            ORT_THROW("[ERROR] [MIGraphX] The value for the key 'migx_int8_use_native_calibration_table' should be \
                                                                       'True' or 'False'. Default value is 'False'.\n");
           }
         } else {
@@ -790,25 +790,34 @@ std::unique_ptr<IExecutionProvider> CreateExecutionProviderInstance(
 #endif
   } else if (type == kCudaExecutionProvider) {
 #ifdef USE_CUDA
-    // If the environment variable 'CUDA_UNAVAILABLE' exists, then we do not load cuda. This is set by _ld_preload for the manylinux case
-    // as in that case, trying to load the library itself will result in a crash due to the way that auditwheel strips dependencies.
+    // If the environment variable 'CUDA_UNAVAILABLE' exists, then we do not load cuda.
+    // This is set by _ld_preload for the manylinux case as in that case,
+    // trying to load the library itself will result in a crash due to the way that auditwheel strips dependencies.
     if (Env::Default().GetEnvironmentVar("ORT_CUDA_UNAVAILABLE").empty()) {
       if (auto* cuda_provider_info = TryGetProviderInfo_CUDA()) {
         const CUDAExecutionProviderInfo info = GetCudaExecutionProviderInfo(cuda_provider_info,
                                                                             provider_options_map);
 
-        // This variable is never initialized because the APIs by which it should be initialized are deprecated, however they still
-        // exist are are in-use. Neverthless, it is used to return CUDAAllocator, hence we must try to initialize it here if we can
-        // since FromProviderOptions might contain external CUDA allocator.
+        // This variable is never initialized because the APIs by which it should be initialized are deprecated,
+        // however they still exist are are in-use. Neverthless, it is used to return CUDAAllocator,
+        // hence we must try to initialize it here if we can since FromProviderOptions might contain
+        // external CUDA allocator.
         external_allocator_info = info.external_allocator_info;
         return cuda_provider_info->CreateExecutionProviderFactory(info)->CreateProvider();
       } else {
         if (!Env::Default().GetEnvironmentVar("CUDA_PATH").empty()) {
-          ORT_THROW("CUDA_PATH is set but CUDA wasn't able to be loaded. Please install the correct version of CUDA and cuDNN as mentioned in the GPU requirements page (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements), make sure they're in the PATH, and that your GPU is supported.");
+          ORT_THROW("CUDA_PATH is set but CUDA wasn't able to be loaded. Please install the correct version of CUDA and
+                     cuDNN as mentioned in the GPU requirements page
+                    (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements),
+                    make sure they're in the PATH, and that your GPU is supported.");
         }
       }
     }
-    LOGS_DEFAULT(WARNING) << "Failed to create " << type << ". Please reference https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements to ensure all dependencies are met.";
+    LOGS_DEFAULT(WARNING) << "Failed to create "
+                          << type
+                          << ". Please reference
+                          https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements
+                          to ensure all dependencies are met.";
 #endif
   } else if (type == kRocmExecutionProvider) {
 #ifdef USE_ROCM