diff --git a/src/include/migraphx/op/as_shape.hpp b/src/include/migraphx/op/as_shape.hpp
index 7618451a317..9058827e6ca 100644
--- a/src/include/migraphx/op/as_shape.hpp
+++ b/src/include/migraphx/op/as_shape.hpp
@@ -28,6 +28,7 @@
 #include <migraphx/config.hpp>
 #include <migraphx/argument.hpp>
 #include <migraphx/shape.hpp>
+#include <migraphx/dyn_output.hpp>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {
@@ -45,13 +46,17 @@ struct as_shape
     std::string name() const { return "as_shape"; }
     shape compute_shape(const std::vector<shape>& inputs) const
     {
-        check_shapes{inputs, *this}.has(1).standard();
-        assert(inputs.front().elements() >= s.elements());
+        check_shapes{inputs, *this, true}.has(1).standard();
+        if(inputs.front().dynamic() and not inputs.front().symbolic())
+            MIGRAPHX_THROW("AS_SHAPE: input must be static or symbolic");
+        if(s.dynamic() and not s.symbolic())
+            MIGRAPHX_THROW("AS_SHAPE: target shape must be static or symbolic");
+        assert(inputs.front().sym_elements() >= s.sym_elements());
         return s;
     }
-    argument compute(shape output_shape, std::vector<argument> args) const
+    argument compute(const dyn_output& dyn_out, std::vector<argument> args) const
     {
-        return args.front().reshape(output_shape);
+        return args.front().reshape(dyn_out.computed_shape);
     }
     std::vector<std::size_t> output_alias(const std::vector<shape>&) const { return {0}; }
 };
diff --git a/src/include/migraphx/op/contiguous.hpp b/src/include/migraphx/op/contiguous.hpp
index 695869aa577..b182ec77a24 100644
--- a/src/include/migraphx/op/contiguous.hpp
+++ b/src/include/migraphx/op/contiguous.hpp
@@ -1,7 +1,7 @@
 /*
  * The MIT License (MIT)
  *
- * Copyright (c) 2015-2023 Advanced Micro Devices, Inc. All rights reserved.
+ * Copyright (c) 2015-2026 Advanced Micro Devices, Inc. All rights reserved.
  *
  * Permission is hereby granted, free of charge, to any person obtaining a copy
  * of this software and associated documentation files (the "Software"), to deal
@@ -47,17 +47,11 @@ struct contiguous
     shape compute_shape(std::vector<shape> inputs) const
     {
         check_shapes{inputs, *this, true}.has(1);
-        auto s0 = inputs.front();
+        const auto& s0 = inputs.front();
+
         if(s0.dynamic())
-        {
-            return s0;
-        }
-        else
-        {
-            const auto& lens = s0.lens();
-            auto t           = s0.type();
-            return {t, lens};
-        }
+            return {s0.type(), s0.dyn_dims()};
+        return {s0.type(), s0.lens()};
     }
 
     argument compute(const dyn_output& dyn_out, std::vector<argument> args) const
diff --git a/src/include/migraphx/op/transpose.hpp b/src/include/migraphx/op/transpose.hpp
index bb508ecec76..2f2d62e069c 100644
--- a/src/include/migraphx/op/transpose.hpp
+++ b/src/include/migraphx/op/transpose.hpp
@@ -63,7 +63,8 @@ struct transpose
             MIGRAPHX_THROW("TRANSPOSE: Invalid permutation");
         }
 
-        if(input.dynamic())
+        // Range-only dynamic shapes do not carry strides; permute dims only.
+        if(input.dynamic() and not input.symbolic())
         {
             std::vector<shape::dynamic_dimension> output_dyn_dims(input.ndim());
             std::transform(dims.cbegin(), dims.cend(), output_dyn_dims.begin(), [&](auto dim) {
@@ -71,20 +72,17 @@ struct transpose
             });
             return {input.type(), output_dyn_dims};
         }
-        else
-        {
-            const auto& input_lens    = input.lens();
-            const auto& input_strides = input.strides();
 
-            std::vector<size_t> output_lens(input.ndim());
-            std::vector<size_t> output_strides(input.ndim());
+        auto permute = [&](const auto& src) {
+            std::vector<typename std::decay_t<decltype(src)>::value_type> out(input.ndim());
             for(std::size_t i = 0; i < input.ndim(); i++)
-            {
-                output_lens[i]    = input_lens[dims[i]];
-                output_strides[i] = input_strides[dims[i]];
-            }
-            return {input.type(), output_lens, output_strides};
-        }
+                out[i] = src[dims[i]];
+            return out;
+        };
+
+        if(input.symbolic())
+            return {input.type(), permute(input.dyn_dims()), permute(input.dyn_strides())};
+        return {input.type(), permute(input.lens()), permute(input.strides())};
     }
 
     argument compute(const dyn_output& dyn_out, std::vector<argument> args) const
diff --git a/src/include/migraphx/shape.hpp b/src/include/migraphx/shape.hpp
index 1a8c1f9d53e..4715bba4135 100644
--- a/src/include/migraphx/shape.hpp
+++ b/src/include/migraphx/shape.hpp
@@ -309,6 +309,14 @@ struct MIGRAPHX_EXPORT shape
      */
     std::size_t elements() const;
 
+    /*!
+     * Return the number of elements as a symbolic expression. Works for any
+     * shape kind: for static shapes returns a literal; for symbolic shapes
+     * returns the product of the symbolic dimension expressions. Throws for
+     * range-only dynamic shapes.
+     */
+    sym::expr sym_elements() const;
+
     /*!
      * Return the number of total bytes used for storage of the tensor data; includes subshapes.
      * For dynamic shape, returns the maximum number of bytes presuming a packed shape.
diff --git a/src/include/migraphx/sym.hpp b/src/include/migraphx/sym.hpp
index f5201cdea76..df8a87c4c7b 100644
--- a/src/include/migraphx/sym.hpp
+++ b/src/include/migraphx/sym.hpp
@@ -30,6 +30,7 @@
 #include <ostream>
 #include <set>
 #include <string>
+#include <type_traits>
 #include <unordered_map>
 #include <variant>
 
diff --git a/src/shape.cpp b/src/shape.cpp
index 0cf5470e5a6..a06c84164f9 100644
--- a/src/shape.cpp
+++ b/src/shape.cpp
@@ -372,6 +372,13 @@ struct shape_impl
         return compute_elements<std::size_t>(m_lens);
     }
 
+    sym::expr sym_elements() const
+    {
+        if(not m_dyn_dims.empty() and not all_dims_symbolic())
+            MIGRAPHX_THROW("SHAPE: sym_elements() called on a range-only dynamic shape");
+        return compute_elements<sym::expr>(sym_dims());
+    }
+
     std::size_t get_index(size_t i) const
     {
         std::size_t result = 0;
@@ -645,6 +652,8 @@ std::size_t shape::ndim() const
 
 std::size_t shape::elements() const { return impl->elements(); }
 
+sym::expr shape::sym_elements() const { return impl->sym_elements(); }
+
 std::size_t shape::bytes() const
 {
     if(this->sub_shapes().empty())
diff --git a/test/op_shape_test.cpp b/test/op_shape_test.cpp
index 2a902ef2935..7fd355da8a9 100644
--- a/test/op_shape_test.cpp
+++ b/test/op_shape_test.cpp
@@ -26,6 +26,7 @@
 #include <migraphx/instruction.hpp>
 #include <migraphx/permutation.hpp>
 #include <migraphx/op/common.hpp>
+#include <migraphx/sym.hpp>
 #include <sstream>
 #include <migraphx/make_op.hpp>
 
@@ -33,6 +34,10 @@
 
 #include "test.hpp"
 
+using dd = migraphx::shape::dynamic_dimension;
+using migraphx::sym::lit;
+using migraphx::sym::var;
+
 template <class... Ts>
 static void expect_shape(const migraphx::shape& expected, const migraphx::operation& op, Ts... xs)
 {
@@ -519,6 +524,25 @@ TEST_CASE(contiguous_dyn_shape)
     expect_shape(s0, migraphx::make_op("contiguous"), s0);
 }
 
+TEST_CASE(contiguous_sym_standard)
+{
+    auto n = var("N", {1, 64});
+    auto h = var("H", {1, 128});
+    migraphx::shape s0{migraphx::shape::float_type, {dd{n}, dd{h}}};
+    expect_shape(s0, migraphx::make_op("contiguous"), s0);
+}
+
+TEST_CASE(contiguous_sym_transposed)
+{
+    auto n = var("N", {1, 64});
+    auto h = var("H", {1, 128});
+    // Transposed symbolic input: standard {N, H} -> transposed {H, N}.
+    auto input =
+        migraphx::shape::from_permutation(migraphx::shape::float_type, {dd{h}, dd{n}}, {1, 0});
+    migraphx::shape output{migraphx::shape::float_type, {dd{h}, dd{n}}};
+    expect_shape(output, migraphx::make_op("contiguous"), input);
+}
+
 TEST_CASE(contiguous_shape_scalar)
 {
     migraphx::shape output{migraphx::shape::float_type, {1}};
@@ -526,6 +550,23 @@ TEST_CASE(contiguous_shape_scalar)
     expect_shape(output, migraphx::make_op("contiguous"), input);
 }
 
+TEST_CASE(as_shape_static)
+{
+    migraphx::shape input{migraphx::shape::float_type, {4, 4}};
+    migraphx::shape target{migraphx::shape::float_type, {2, 8}};
+    expect_shape(
+        target, migraphx::make_op("as_shape", {{"shape", migraphx::to_value(target)}}), input);
+}
+
+TEST_CASE(as_shape_sym)
+{
+    auto n = var("N", {1, 64});
+    migraphx::shape input{migraphx::shape::float_type, {dd{n}, dd{lit(16)}}};
+    migraphx::shape target{migraphx::shape::float_type, {dd{n}, dd{lit(4)}, dd{lit(4)}}};
+    expect_shape(
+        target, migraphx::make_op("as_shape", {{"shape", migraphx::to_value(target)}}), input);
+}
+
 TEST_CASE(contiguous_shape_singleton_dim)
 {
     migraphx::shape output{migraphx::shape::float_type, {5, 1, 8}, {8, 8, 1}};
@@ -5241,6 +5282,45 @@ TEST_CASE(transpose_dyn_shape1)
     expect_shape(output, migraphx::make_op("transpose", {{"permutation", {2, 1, 0}}}), input);
 }
 
+TEST_CASE(transpose_sym_identity)
+{
+    auto n = var("N", {1, 64});
+    auto h = var("H", {1, 128});
+    migraphx::shape input{migraphx::shape::float_type, {dd{n}, dd{h}}};
+    expect_shape(input, migraphx::make_op("transpose", {{"permutation", {0, 1}}}), input);
+}
+
+TEST_CASE(transpose_sym_swap)
+{
+    auto n = var("N", {1, 64});
+    auto h = var("H", {1, 128});
+    migraphx::shape input{migraphx::shape::float_type, {dd{n}, dd{h}}};
+    auto output =
+        migraphx::shape::from_permutation(migraphx::shape::float_type, {dd{h}, dd{n}}, {1, 0});
+    expect_shape(output, migraphx::make_op("transpose", {{"permutation", {1, 0}}}), input);
+}
+
+TEST_CASE(transpose_sym_3d)
+{
+    auto n = var("N", {1, 64});
+    auto c = var("C", {1, 32});
+    auto h = var("H", {1, 128});
+    migraphx::shape input{migraphx::shape::float_type, {dd{n}, dd{c}, dd{h}}};
+    auto output = migraphx::shape::from_permutation(
+        migraphx::shape::float_type, {dd{h}, dd{c}, dd{n}}, {2, 1, 0});
+    expect_shape(input, migraphx::make_op("transpose", {{"permutation", {0, 1, 2}}}), input);
+    expect_shape(output, migraphx::make_op("transpose", {{"permutation", {2, 1, 0}}}), input);
+}
+
+TEST_CASE(transpose_sym_mixed_literal)
+{
+    auto n = var("N", {1, 64});
+    migraphx::shape input{migraphx::shape::float_type, {dd{n}, dd{lit(8)}, dd{lit(4)}}};
+    auto output = migraphx::shape::from_permutation(
+        migraphx::shape::float_type, {dd{lit(4)}, dd{lit(8)}, dd{n}}, {2, 1, 0});
+    expect_shape(output, migraphx::make_op("transpose", {{"permutation", {2, 1, 0}}}), input);
+}
+
 TEST_CASE(transpose_axes_error)
 {
     migraphx::shape input{migraphx::shape::float_type, {2, 2}};