[GPU] Use optional and nested namespaces features from cpp17 (#28628)

Signed-off-by: Vladimir Paramuzov <[email protected]>

Author: Vladimir Paramuzov

src/plugins/intel_gpu/include/intel_gpu/op/convolution.hpp

@@ -6,9 +6,7 @@
 
 #include "openvino/op/util/convolution_base.hpp"
 
-namespace ov {
-namespace intel_gpu {
-namespace op {
+namespace ov::intel_gpu::op {
 
 // Common node for v1::Convolution and v1::GroupConvolution with few extensions
 //  - Relaxed type requirements
@@ -76,6 +74,4 @@ std::vector<ov::PartialShape> shape_infer(const Convolution* op,
                                           CoordinateDiff& pads_begin,
                                           CoordinateDiff& pads_end);
 
-}   // namespace op
-}   // namespace intel_gpu
-}   // namespace ov
+}   // namespace ov::intel_gpu::op

src/plugins/intel_gpu/include/intel_gpu/op/fully_connected.hpp

@@ -7,9 +7,7 @@
 #include "openvino/core/node.hpp"
 #include "openvino/op/op.hpp"
 
-namespace ov {
-namespace intel_gpu {
-namespace op {
+namespace ov::intel_gpu::op {
 
 class FullyConnected : public ov::op::Op {
 public:
@@ -34,6 +32,4 @@ class FullyConnected : public ov::op::Op {
     ov::element::Type m_output_type;
 };
 
-}   // namespace op
-}   // namespace intel_gpu
-}   // namespace ov
+}   // namespace ov::intel_gpu::op

src/plugins/intel_gpu/include/intel_gpu/op/fully_connected_compressed.hpp

@@ -6,9 +6,7 @@
 
 #include "fully_connected.hpp"
 
-namespace ov {
-namespace intel_gpu {
-namespace op {
+namespace ov::intel_gpu::op {
 
 class FullyConnectedCompressed : public FullyConnected {
 public:
@@ -42,6 +40,4 @@ class FullyConnectedCompressed : public FullyConnected {
     std::shared_ptr<Node> clone_with_new_inputs(const ov::OutputVector& new_args) const override;
 };
 
-}   // namespace op
-}   // namespace intel_gpu
-}   // namespace ov
+}   // namespace ov::intel_gpu::op

src/plugins/intel_gpu/include/intel_gpu/op/gemm.hpp

@@ -9,9 +9,7 @@
 #include "openvino/op/matmul.hpp"
 #include "openvino/op/op.hpp"
 
-namespace ov {
-namespace intel_gpu {
-namespace op {
+namespace ov::intel_gpu::op {
 
 class Gemm : public ov::op::v0::MatMul {
 public:
@@ -56,6 +54,4 @@ std::vector<ov::PartialShape> shape_infer(const Gemm* op,
                                           const std::vector<int64_t>& order_b,
                                           const std::vector<int64_t>& order_c);
 
-}   // namespace op
-}   // namespace intel_gpu
-}   // namespace ov
+}   // namespace ov::intel_gpu::op

src/plugins/intel_gpu/include/intel_gpu/op/indirect_gemm.hpp

@@ -9,9 +9,7 @@
 #include "openvino/core/partial_shape.hpp"
 #include "openvino/op/op.hpp"
 
-namespace ov {
-namespace intel_gpu {
-namespace op {
+namespace ov::intel_gpu::op {
 
 class IndirectGemm : public ov::intel_gpu::op::Gemm {
 public:
@@ -49,6 +47,4 @@ class IndirectGemm : public ov::intel_gpu::op::Gemm {
     int64_t m_indirect_axis = 0;
 };
 
-}   // namespace op
-}   // namespace intel_gpu
-}   // namespace ov
+}   // namespace ov::intel_gpu::op

src/plugins/intel_gpu/include/intel_gpu/op/indirect_sdpa.hpp

@@ -9,9 +9,7 @@
 #include "openvino/core/partial_shape.hpp"
 #include "openvino/op/op.hpp"
 
-namespace ov {
-namespace intel_gpu {
-namespace op {
+namespace ov::intel_gpu::op {
 
 class IndirectSDPA : public ov::intel_gpu::op::SDPA {
 public:
@@ -55,6 +53,4 @@ class IndirectSDPA : public ov::intel_gpu::op::SDPA {
     int64_t m_indirect_axis = -1;
 };
 
-}   // namespace op
-}   // namespace intel_gpu
-}   // namespace ov
+}   // namespace ov::intel_gpu::op

src/plugins/intel_gpu/include/intel_gpu/op/kv_cache.hpp

@@ -9,9 +9,7 @@
 #include "openvino/op/util/variable_extension.hpp"
 #include "ov_ops/dynamic_quantize.hpp"
 
-namespace ov {
-namespace intel_gpu {
-namespace op {
+namespace ov::intel_gpu::op {
 
 /// \brief Operator that implements Key-Values cache subgraph for large language models.
 /// This operation updates data of the corresponding Variable
@@ -71,6 +69,4 @@ class KVCache : public ov::op::Op, public ov::op::util::VariableExtension {
 
 std::vector<ov::PartialShape> shape_infer(const KVCache* op, const std::vector<ov::PartialShape>& input_shapes);
 
-}   // namespace op
-}   // namespace intel_gpu
-}   // namespace ov
+}   // namespace ov::intel_gpu::op

src/plugins/intel_gpu/include/intel_gpu/op/kv_cache_compressed.hpp

@@ -7,9 +7,7 @@
 #include "intel_gpu/op/kv_cache.hpp"
 #include "ov_ops/dynamic_quantize.hpp"
 
-namespace ov {
-namespace intel_gpu {
-namespace op {
+namespace ov::intel_gpu::op {
 
 /// \brief Operator that implements Key-Values cache subgraph for large language models.
 /// This operation updates data of the corresponding Variable
@@ -51,6 +49,4 @@ class KVCacheCompressed : public ov::intel_gpu::op::KVCache {
 std::vector<ov::PartialShape> shape_infer(const KVCacheCompressed* op,
                                           const std::vector<ov::PartialShape>& input_shapes);
 
-}   // namespace op
-}   // namespace intel_gpu
-}   // namespace ov
+}   // namespace ov::intel_gpu::op

src/plugins/intel_gpu/include/intel_gpu/op/placeholder.hpp

@@ -6,9 +6,7 @@
 
 #include "openvino/op/op.hpp"
 
-namespace ov {
-namespace intel_gpu {
-namespace op {
+namespace ov::intel_gpu::op {
 
 class Placeholder : public ov::op::Op {
 public:
@@ -21,6 +19,4 @@ class Placeholder : public ov::op::Op {
     std::shared_ptr<Node> clone_with_new_inputs(const ov::OutputVector& new_args) const override;
 };
 
-}   // namespace op
-}   // namespace intel_gpu
-}   // namespace ov
+}   // namespace ov::intel_gpu::op

src/plugins/intel_gpu/include/intel_gpu/op/read_value.hpp

@@ -8,9 +8,7 @@
 #include "openvino/op/util/variable.hpp"
 #include "openvino/op/util/variable_extension.hpp"
 
-namespace ov {
-namespace intel_gpu {
-namespace op {
+namespace ov::intel_gpu::op {
 
 /// \brief Similar to common v6::ReadValue, but it's not derived from ReadValueBase class to avoid ReadValue-Assign pairing check
 /// This is needed to have ReadValue-KVCache pair instead of ReadValue-Assign
@@ -42,6 +40,4 @@ class ReadValue : public ov::op::Op, public ov::op::util::VariableExtension {
     }
 };
 
-}   // namespace op
-}   // namespace intel_gpu
-}   // namespace ov
+}   // namespace ov::intel_gpu::op