[GPU] Skip kernel logic for Concat fix (#16885)

src/plugins/intel_gpu/src/kernel_selector/kernels/concatenation/concatenation_kernel_base.cpp

@@ -109,10 +109,6 @@ ConcatenationKernelBase::DispatchData ConcatenationKernelBase::SetDefault(const
     return dispatchData;
 }
 
-bool ConcatenationKernelBase::SkipKernelExecution(const concatenation_params& params, size_t kernel_id) const {
-    return params.inputs[kernel_id].LogicalSize() == 0;
-}
-
 KernelsData ConcatenationKernelBase::GetCommonKernelsData(const Params& params, const optional_params& options) const {
     if (!Validate(params, options)) {
         return {};
@@ -140,7 +136,7 @@ KernelsData ConcatenationKernelBase::GetCommonKernelsData(const Params& params,
             DispatchData dispatchData = SetDefault(newParams);
             kernel.params.workGroups.global = dispatchData.gws;
             kernel.params.workGroups.local = dispatchData.lws;
-            kernel.skip_execution = SkipKernelExecution(prim_params, i);
+            kernel.skip_execution = KernelData::SkipKernelExecution(newParams);
 
             ScalarDescriptor s;
             s.t = ScalarDescriptor::Types::UINT32;
@@ -178,7 +174,7 @@ KernelsData ConcatenationKernelBase::GetCommonKernelsData(const Params& params,
         kernel.code.kernelString = GetKernelString(kernelName, jit, entryPoint, params.engineInfo);
         kernel.params.workGroups.global = dispatchData.gws;
         kernel.params.workGroups.local = dispatchData.lws;
-        kernel.skip_execution = SkipKernelExecution(newParams, i);
+        kernel.skip_execution = KernelData::SkipKernelExecution(newParams);
         if (is_dynamic) {
             kernel.params.arguments.push_back({ArgumentDescriptor::Types::SHAPE_INFO, 0});
         }

src/plugins/intel_gpu/src/kernel_selector/kernels/concatenation/concatenation_kernel_base.h

@@ -68,6 +68,5 @@ protected:
     virtual size_t GetAlignment(const concatenation_params& /*params*/) const {
         return 1;
     }
-    bool SkipKernelExecution(const concatenation_params& params, size_t kernel_id) const;
 };
 }  // namespace kernel_selector

src/plugins/intel_gpu/src/kernel_selector/kernels/concatenation/concatenation_kernel_fs_b_yx_fsv32.cpp

@@ -114,7 +114,7 @@ KernelsData ConcatenationKernel_fs_b_yx_fsv32::GetKernelsData(const Params& para
         kernel.params.workGroups.local = dispatchData.lws;
         kernel.params.arguments.push_back({ArgumentDescriptor::Types::INPUT, (uint32_t)i});
         kernel.params.arguments.push_back({ArgumentDescriptor::Types::OUTPUT, 0});
-        kernel.skip_execution = SkipKernelExecution(newParams, i);
+        kernel.skip_execution = KernelData::SkipKernelExecution(newParams);
 
         ScalarDescriptor s;
         s.t = ScalarDescriptor::Types::UINT32;

src/plugins/intel_gpu/tests/test_cases/lstm_gpu_test.cpp

@@ -459,7 +459,6 @@ template<typename T>
 void generic_lstm_gpu_test(int layers, int sequence_len, int direction, int batch_size, int input_size, int hidden_size,
                             bool hasBias, bool hasInitialHidden, bool hasInitialCell,
                             T clip_threshold, bool input_forget, bool is_caching_test = false) {
-    GTEST_SKIP(); // Issue: 107984
     std::cout << "Layers = " << layers << " Input Size = " << input_size << " Hidden Size = " << hidden_size
             << " Sequence Len = " << sequence_len << " Direction = " << direction << " Batch Size = " << batch_size << std::endl;
     int min_random = -2, max_random = 2;
@@ -639,7 +638,6 @@ void generic_lstm_gpu_test(int layers, int sequence_len, int direction, int batc
 // -------------------------------------------------------
 template<typename T>
 void lstm_gpu_output_test(const lstm_output_selection& output_selection, int directions, bool is_caching_test = false) {
-    GTEST_SKIP(); // Issue: 107984
     int layers = 1;
     int sequence_len = 4;
     int batch_size = 3;