Update fused ops groupconvolution, gelu and layernorm to be dynamic friendly (#3876)

* set output et

* set output et

* overwrote validate and infer

src/ngraph/op/fused/gelu.cpp

@@ -66,12 +66,18 @@ shared_ptr<Node> op::Gelu::copy_with_new_args(const NodeVector& new_args) const
 void op::Gelu::pre_validate_and_infer_types()
 {
     element::Type input_element_type = get_input_element_type(0);
+    PartialShape input_pshape = get_input_partial_shape(0);
 
     NODE_VALIDATION_CHECK(this,
                           input_element_type.is_dynamic() || input_element_type.is_real(),
                           "Argument element type must be f16, bf16, f32, f64 or dynamic (got ",
                           input_element_type,
                           ").");
+
+    if (input_pshape.is_dynamic())
+    {
+        set_output_type(0, input_element_type, input_pshape);
+    }
 }
 
 void op::Gelu::generate_adjoints(autodiff::Adjoints& adjoints, const NodeVector& deltas)
@@ -94,12 +100,18 @@ op::GeluBackpropFactor::GeluBackpropFactor(const Output<Node>& x)
 void op::GeluBackpropFactor::pre_validate_and_infer_types()
 {
     element::Type input_element_type = get_input_element_type(0);
+    PartialShape input_pshape = get_input_partial_shape(0);
 
     NODE_VALIDATION_CHECK(this,
                           input_element_type.is_dynamic() || input_element_type.is_real(),
                           "Argument element type must be f16, bf16, f32, f64 or dynamic (got ",
                           input_element_type,
                           ").");
+
+    if (input_pshape.is_dynamic())
+    {
+        set_output_type(0, input_element_type, input_pshape);
+    }
 }
 
 shared_ptr<Node> op::GeluBackpropFactor::copy_with_new_args(const NodeVector& new_args) const

src/ngraph/op/fused/group_conv.cpp

@@ -100,6 +100,10 @@ void op::GroupConvolution::pre_validate_and_infer_types()
                                get_groups()) == data_shape.to_shape()[1],
                               "Incorrect number of channels per filter");
     }
+    else
+    {
+        set_output_type(0, get_input_element_type(0), PartialShape::dynamic());
+    }
 }
 
 void op::GroupConvolution::post_validate_and_infer_types()

src/ngraph/op/fused/layer_norm.cpp

@@ -170,7 +170,7 @@ shared_ptr<Node> op::LayerNorm::copy_with_new_args(const NodeVector& new_args) c
     }
 }
 
-void op::LayerNorm::pre_validate_and_infer_types()
+void op::LayerNorm::validate_and_infer_types()
 {
     element::Type input_element_type = get_input_element_type(0);
 
@@ -509,7 +509,7 @@ shared_ptr<Node> op::LayerNormBackprop::copy_with_new_args(const NodeVector& new
     }
 }
 
-void op::LayerNormBackprop::pre_validate_and_infer_types()
+void op::LayerNormBackprop::validate_and_infer_types()
 {
     element::Type input_element_type = get_input_element_type(0);
 

src/ngraph/op/fused/layer_norm.hpp

@@ -55,7 +55,7 @@ namespace ngraph
 
             virtual NodeVector decompose_op() const override;
 
-            void pre_validate_and_infer_types() override;
+            void validate_and_infer_types() override;
 
             virtual std::shared_ptr<Node>
                 copy_with_new_args(const NodeVector& new_args) const override;
@@ -121,7 +121,7 @@ namespace ngraph
 
             virtual NodeVector decompose_op() const override;
 
-            void pre_validate_and_infer_types() override;
+            void validate_and_infer_types() override;
 
             virtual std::shared_ptr<Node>
                 copy_with_new_args(const NodeVector& new_args) const override;