diff --git a/onnxruntime/core/platform/posix/env.cc b/onnxruntime/core/platform/posix/env.cc
index a5aa5773a3..14217a126d 100644
--- a/onnxruntime/core/platform/posix/env.cc
+++ b/onnxruntime/core/platform/posix/env.cc
@@ -248,11 +248,13 @@ class PosixThread : public EnvThread {
                                 << ", mask: " << *p->affinity;
         } else {
           auto [err_no, err_msg] = GetSystemError(ret);
+#if !defined(USE_MIGRAPHX)
           LOGS_DEFAULT(ERROR) << "pthread_setaffinity_np failed for thread: " << syscall(SYS_gettid)
                               << ", index: " << p->index
                               << ", mask: " << *p->affinity
                               << ", error code: " << err_no << " error msg: " << err_msg
                               << ". Specify the number of threads explicitly so the affinity is not set.";
+#endif
         }
       }
 #endif
diff --git a/onnxruntime/core/providers/migraphx/migraphx_execution_provider.cc b/onnxruntime/core/providers/migraphx/migraphx_execution_provider.cc
index ba98a79a72..7cf8e4759f 100644
--- a/onnxruntime/core/providers/migraphx/migraphx_execution_provider.cc
+++ b/onnxruntime/core/providers/migraphx/migraphx_execution_provider.cc
@@ -451,15 +451,6 @@ static bool IsUnsupportedOpMode(const onnxruntime::GraphViewer& graph_viewer, co
       }
     }
 
-    const auto& args = node->InputDefs();
-    if (args.size() > 1) {
-      std::vector<std::size_t> indices(args.size() - 1);
-      std::iota(indices.begin(), indices.end(), 1);
-      if (canEvalNodeArgument(graph_viewer, node, indices, input_nodes)) {
-        return false;
-      }
-      return true;
-    }
   } else if (optype == "ReduceSum") {
     const auto& args = node->InputDefs();
     if (args.size() == 2) {
@@ -952,8 +943,15 @@ bool get_input_output_names(const GraphViewer& graph,
     if (sptr == nullptr)
       return true;
 
-    auto dim_size = sptr->dim_size();
-    return (dim_size == 0);
+    if (sptr->dim_size() == 0)
+      return true;
+
+    for (int i = 0; i < sptr->dim_size(); i++) {
+      if (sptr->dim(i).has_dim_param())
+        return true;
+    }
+
+    return false;
   });
 
   const auto& out_args = graph.GetOutputs();
@@ -1002,7 +1000,7 @@ Status MIGraphXExecutionProvider::Compile(const std::vector<FusedNodeAndGraph>&
     }
 
     std::vector<std::string> input_names, output_names;
-    no_input_shape = no_input_shape or get_input_output_names(graph_body_viewer, input_names, output_names);
+    no_input_shape = get_input_output_names(graph_body_viewer, input_names, output_names);
 
     // by parsing the model_proto, create a program corresponding to
     // the input fused_node
diff --git a/onnxruntime/python/tools/transformers/models/stable_diffusion/benchmark.py b/onnxruntime/python/tools/transformers/models/stable_diffusion/benchmark.py
index e6178f3c5d..1226c3bfab 100755
--- a/onnxruntime/python/tools/transformers/models/stable_diffusion/benchmark.py
+++ b/onnxruntime/python/tools/transformers/models/stable_diffusion/benchmark.py
@@ -19,6 +19,7 @@ SD_MODELS = {
 PROVIDERS = {
     "cuda": "CUDAExecutionProvider",
     "rocm": "ROCMExecutionProvider",
+    "migraphx": "MIGraphXExecutionProvider",
 }
 
 
@@ -570,7 +571,7 @@ def parse_arguments():
         "--batch_size",
         type=int,
         default=1,
-        choices=[1, 2, 4, 8, 10, 16, 32],
+        choices=[1, 2, 3, 4, 8, 10, 16, 32],
         help="Number of images per batch. Default is 1.",
     )