[GPU] Relax UnsqueezeBroadcastReshapeSDPAFusion (openvinotoolkit#27515)

### Details:
- By relaxing UnsqueezeBroadcastReshapeSDPAFusion, GQA pattern is
enabled and Broadcasting nodes overheads in paths of key and value are
removed, thus improves performance of GLM4 model significantly.
- Fix for GLM4V, which has initial state shape (-1, 0, 0, 0), and shape
infer failed.
 
### Tickets:
 - *CVS-157263*

---------

Co-authored-by: Chen Peter <[email protected]>

src/plugins/intel_gpu/src/plugin/transformations/op/kv_cache.cpp

@@ -106,18 +106,21 @@ std::vector<ov::PartialShape> shape_infer(const KVCache* op, const std::vector<o
 
     const auto& gather_axis = op->get_gather_axis();
     const auto& concat_axis = ov::util::normalize(op->get_concat_axis(), input_shapes[0].size());
+    // We update output shape with input1 shape by default, as input1 is always new, and in some situations, input0 shape
+    // has zeros in some dimensions. For example to concat input0 [-1, 0, 0, 0] + input1 [-1, 4, -1, 128] along axis 2,
+    // we could (and should) infer dim value of axis 1 and 3 in this case.
     if (op->get_output_size() >= 2) {
-        out_shapes[0] = input_shapes[0];
+        out_shapes[0] = input_shapes[1];
         out_shapes[0][gather_axis] = input_shapes[2][0];
-        out_shapes[0][concat_axis] += input_shapes[1][concat_axis];
+        out_shapes[0][concat_axis] += input_shapes[0][concat_axis];
 
         std::vector<ov::Dimension> dims(out_shapes[0].size(), 1);
         dims[gather_axis] = out_shapes[0][gather_axis];
         dims[concat_axis] = out_shapes[0][concat_axis];
         out_shapes[1] = dims;
     } else {
-        out_shapes[0] = input_shapes[0];
-        out_shapes[0][concat_axis] += input_shapes[1][concat_axis];
+        out_shapes[0] = input_shapes[1];
+        out_shapes[0][concat_axis] += input_shapes[0][concat_axis];
     }
 
     return out_shapes;

src/plugins/intel_gpu/src/plugin/transformations/op/sdpa.cpp

@@ -144,9 +144,12 @@ std::vector<ov::PartialShape> shape_infer(const SDPA* op,
     if (is_broadcastable) {
         size_t max_rank = shape_q_t.size();
         for (size_t i = 0; i < max_rank; ++i) {
-            if (shape_q_t[i].is_static() && shape_k_t[i].is_static() && shape_v_t[i].is_static()) {
+            if (shape_q_t[i].is_static() && shape_k_t[i].is_static()) {
                 auto broadcasted_dim = shape_q_t[i].get_length();
                 shape_k_t[i] = broadcasted_dim;
+            }
+            if (shape_q_t[i].is_static() && shape_v_t[i].is_static()) {
+                auto broadcasted_dim = shape_q_t[i].get_length();
                 shape_v_t[i] = broadcasted_dim;
             }
         }

src/plugins/intel_gpu/src/plugin/transformations/unsqueeze_broadcast_reshape_sdpa_fusion.cpp

@@ -23,10 +23,6 @@ using ov::pass::pattern::op::Or;
 UnsqueezeBroadcastReshapeSDPAFusion::UnsqueezeBroadcastReshapeSDPAFusion() {
     using namespace ov::pass::pattern;
 
-    auto not_reshape = [](const ov::Output<ov::Node>& output) -> bool {
-        return std::dynamic_pointer_cast<ov::op::v1::Reshape>(output.get_node_shared_ptr()) == nullptr;
-    };
-
     auto unsqueeze_predicate = [](const ov::Output<ov::Node>& output) -> bool {
         return rank_equals(5)(output) && consumers_count(1);
     };
@@ -42,7 +38,7 @@ UnsqueezeBroadcastReshapeSDPAFusion::UnsqueezeBroadcastReshapeSDPAFusion() {
         return rank_equals(4)(output) && consumers_count(1);
     };
 
-    auto input_a_m = any_input(not_reshape);
+    auto input_a_m = any_input();
     auto input_attn_mask = any_input();
     auto input_scale = any_input();
     auto input_b_m = wrap_type<ov::intel_gpu::op::KVCache>({any_input(), any_input()});