diff --git a/onnxruntime/core/providers/cuda/nn/conv_transpose.cc b/onnxruntime/core/providers/cuda/nn/conv_transpose.cc
index 20a787b475..0dbb31b0f4 100644
--- a/onnxruntime/core/providers/cuda/nn/conv_transpose.cc
+++ b/onnxruntime/core/providers/cuda/nn/conv_transpose.cc
@@ -3,6 +3,15 @@
 
 #include "conv_transpose.h"
 
+// To suppress FP static analyzer warnings: 
+// https://msdata.visualstudio.com/Vienna/_workitems/edit/1944928 and
+// https://msdata.visualstudio.com/Vienna/_workitems/edit/1944950
+#ifdef _WIN32
+#pragma warning(push)
+#pragma warning(disable : 26110)
+#pragma warning(disable : 26117)
+#endif
+
 namespace onnxruntime {
 namespace cuda {
 
@@ -206,3 +215,7 @@ Status ConvTranspose<T>::DoConvTranspose(OpKernelContext* context, bool dynamic_
 
 }  // namespace cuda
 }  // namespace onnxruntime
+
+#ifdef _WIN32
+#pragma warning(pop)
+#endif
diff --git a/onnxruntime/core/providers/cuda/rnn/cudnn_rnn_base.cc b/onnxruntime/core/providers/cuda/rnn/cudnn_rnn_base.cc
index 70391a8a00..ce458b60b4 100644
--- a/onnxruntime/core/providers/cuda/rnn/cudnn_rnn_base.cc
+++ b/onnxruntime/core/providers/cuda/rnn/cudnn_rnn_base.cc
@@ -249,7 +249,7 @@ Status CudnnRnnBase<T>::ComputeInternal(OpKernelContext* ctx) const {
   size_t workspace_bytes;
   CUDNN_RETURN_IF_ERROR(cudnnGetRNNWorkspaceSize(CudnnHandle(), rnn_desc, gsl::narrow_cast<int>(seq_length), x_desc.data(), &workspace_bytes));
   auto workspace_cuda = GetScratchBuffer<void>(workspace_bytes);
-  int32_t zero_seq_count = 0;
+  int64_t zero_seq_count = 0;
   std::vector<int32_t> zero_seq_index_cache(batch_size, 0);
   int64_t zero_seq_index_cache_size = 0;
 
@@ -291,7 +291,7 @@ Status CudnnRnnBase<T>::ComputeInternal(OpKernelContext* ctx) const {
     if (zero_seq_count && num_directions_ > 1) {
       zero_seq_index_cache_size = zero_seq_count * num_directions_;
       zero_seq_index_cache.resize(zero_seq_index_cache_size);
-      for (int i = 0; i < zero_seq_count; ++i) {
+      for (int64_t i = 0; i < zero_seq_count; ++i) {
         zero_seq_index_cache[zero_seq_count + i] = static_cast<int32_t>(batch_size + zero_seq_index_cache[i]);
       }
     }
diff --git a/onnxruntime/core/providers/cuda/rnn/cudnn_rnn_base.h b/onnxruntime/core/providers/cuda/rnn/cudnn_rnn_base.h
index 7eb4763287..8e62430980 100644
--- a/onnxruntime/core/providers/cuda/rnn/cudnn_rnn_base.h
+++ b/onnxruntime/core/providers/cuda/rnn/cudnn_rnn_base.h
@@ -24,7 +24,7 @@ enum RNN_Input_Index {
 };
 
 // Onnx RNN/GRU/LSTM only support 1 layer
-const int RNN_NUM_LAYERS = 1;
+constexpr int RNN_NUM_LAYERS = 1;
 
 class CudnnRNN {
  public:
diff --git a/onnxruntime/test/shared_lib/test_inference.cc b/onnxruntime/test/shared_lib/test_inference.cc
index 428c47d79b..c54f714995 100644
--- a/onnxruntime/test/shared_lib/test_inference.cc
+++ b/onnxruntime/test/shared_lib/test_inference.cc
@@ -2012,7 +2012,10 @@ TEST(CApiTest, TestConfigureCUDAProviderOptions) {
 
   char* cuda_options_str = nullptr;
   ASSERT_TRUE(api.GetCUDAProviderOptionsAsString(rel_cuda_options.get(), allocator, &cuda_options_str) == nullptr);
-  std::string s(cuda_options_str, strnlen(cuda_options_str, 2048));
+  std::string s;
+  if (cuda_options_str != nullptr) {
+    s = std::string(cuda_options_str, strnlen(cuda_options_str, 2048));
+  }
   ASSERT_TRUE(s.find("device_id=0") != std::string::npos);
   ASSERT_TRUE(s.find("gpu_mem_limit=1024") != std::string::npos);
   ASSERT_TRUE(s.find("arena_extend_strategy=kSameAsRequested") != std::string::npos);