Faster constant folding for v1::Reshape, v1::Transpose and v0::DynReshape (#4214)

Co-authored-by: Scott Cyphers <diyessi@users.noreply.github.com>

src/ngraph/pass/constant_folding_dyn_reshape.cpp

@@ -29,20 +29,10 @@ template <typename T, typename R>
 shared_ptr<op::Constant> fold_constant_dyn_reshape(shared_ptr<op::Constant> constant_data,
                                                    R dyn_reshape)
 {
-    const Shape& out_shape = dyn_reshape->get_shape();
-    runtime::AlignedBuffer buffer(shape_size(out_shape) * sizeof(T));
-    T* data_ptr = buffer.get_ptr<T>();
-
-    AxisVector input_order(constant_data->get_shape().size());
-    std::iota(input_order.begin(), input_order.end(), 0);
-
-    runtime::reference::reshape<T>(constant_data->get_data_ptr<T>(),
-                                   data_ptr,
-                                   constant_data->get_shape(),
-                                   input_order,
-                                   out_shape);
-
-    return make_shared<op::Constant>(dyn_reshape->get_element_type(), out_shape, data_ptr);
+    // v1::Reshape and v0::DynReshape do not allow data transposes.
+    return make_shared<op::Constant>(dyn_reshape->get_element_type(),
+                                     dyn_reshape->get_shape(),
+                                     constant_data->get_data_ptr<T>());
 }
 
 template <typename R>

src/ngraph/pass/constant_folding_transpose.cpp

@@ -16,7 +16,7 @@
 
 #include "constant_folding.hpp"
 #include "ngraph/op/experimental/transpose.hpp"
-#include "ngraph/runtime/reference/reshape.hpp"
+#include "ngraph/runtime/opt_kernel/reshape.hpp"
 
 using namespace std;
 using namespace ngraph;
@@ -31,7 +31,7 @@ shared_ptr<op::Constant> fold_constant_transpose(shared_ptr<op::Constant> consta
 
     runtime::AlignedBuffer buffer(shape_size(out_shape) * sizeof(T));
 
-    runtime::reference::reshape<T>(constant_data->get_data_ptr<T>(),
+    runtime::opt_kernel::reshape<T>(constant_data->get_data_ptr<T>(),
                                     buffer.get_ptr<T>(),
                                     constant_data->get_shape(),
                                     input_order,