diff --git a/onnxruntime/core/providers/cpu/tensor/squeeze.h b/onnxruntime/core/providers/cpu/tensor/squeeze.h
index 2387832018ae4..f6489e5cf2e03 100644
--- a/onnxruntime/core/providers/cpu/tensor/squeeze.h
+++ b/onnxruntime/core/providers/cpu/tensor/squeeze.h
@@ -13,13 +13,15 @@ class SqueezeBase {
  protected:
   explicit SqueezeBase(const OpKernelInfo& info) {
     std::vector<int64_t> axes;
-    Status status = info.GetAttrs<int64_t>("axes", axes);
-    ORT_ENFORCE(status.IsOK(), "Attribute axes is not set.");
+    // Parse attribute 'axes'
+    Status status = info.GetAttrs<int64_t>("axes", axes); 
 
-    // Handle out of order and repeating dims.
-    std::sort(axes.begin(), axes.end());
-    axes.erase(std::unique(axes.begin(), axes.end()), axes.end());
-    axes_ = axes;
+    // Handle out of order and repeating dims when 'axes' exists.
+    if (status.IsOK()) {
+      std::sort(axes.begin(), axes.end());
+      axes.erase(std::unique(axes.begin(), axes.end()), axes.end());
+      axes_ = axes;
+    }
   }
 
   static std::vector<int64_t> ComputeOutputShape(
@@ -28,7 +30,8 @@ class SqueezeBase {
     size_t j = 0;
     std::vector<int64_t> output_shape;
     for (size_t i = 0; i < input_shape.NumDimensions(); ++i) {
-      if (j < axes.NumDimensions() && axes[j] == static_cast<int64_t>(i)) {
+      if ((j < axes.NumDimensions() && axes[j] == static_cast<int64_t>(i)) ||
+          (axes.NumDimensions() == 0 && input_shape[i] == 1)) {
         ORT_ENFORCE(input_shape[i] == 1, "Dimension of input ", i, " must be 1 instead of ", input_shape[i],
                     ". shape=", input_shape);
         ++j;
@@ -59,4 +62,4 @@ class Squeeze final : public OpKernel, public SqueezeBase {
   }
 };
 
-}  // namespace onnxruntime
+}  // namespace onnxruntime
\ No newline at end of file
diff --git a/onnxruntime/test/providers/cpu/tensor/squeeze_op_test.cc b/onnxruntime/test/providers/cpu/tensor/squeeze_op_test.cc
index 979512e8bf739..4287d1369bd65 100644
--- a/onnxruntime/test/providers/cpu/tensor/squeeze_op_test.cc
+++ b/onnxruntime/test/providers/cpu/tensor/squeeze_op_test.cc
@@ -18,6 +18,23 @@ TEST(SqueezeOpTest, Squeeze_1) {
   test.Run();
 }
 
+TEST(SqueezeOpTest, Squeeze_Empty_Axes_1) {
+  OpTester test("Squeeze");
+  test.AddInput<float>("data", {1, 1, 4, 1}, std::vector<float>(4, 1.0f));
+  test.AddOutput<float>("squeezed", {4}, std::vector<float>(4, 1.0f));
+  // TensorRT doesn't seem to support missing 'axes'
+  test.Run(OpTester::ExpectResult::kExpectSuccess, "",  {kTensorrtExecutionProvider});
+}
+
+TEST(SqueezeOpTest, Squeeze_Empty_Axes_2) {
+  OpTester test("Squeeze");
+  // nothing to "squeeze" out in the input shape
+  test.AddInput<float>("data", {2, 4}, std::vector<float>(8, 1.0f));
+  test.AddOutput<float>("squeezed", {2, 4}, std::vector<float>(8, 1.0f));
+  // TensorRT doesn't seem to support missing 'axes'
+  test.Run(OpTester::ExpectResult::kExpectSuccess, "", {kTensorrtExecutionProvider});
+}
+
 TEST(SqueezeOpTest, Squeeze_1_int32) {
   OpTester test("Squeeze");
   test.AddAttribute("axes", std::vector<int64_t>{0});