fix dynamic shape and add testcase for SparseGatherV2 GPU

mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gatherv2_gpu_kernel.cc

@@ -48,6 +48,19 @@ MS_REG_GPU_KERNEL_TWO(
   SparseGatherV2,
   KernelAttr().AddInputAttr(kNumberTypeFloat16).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeFloat16),
   GatherV2GpuFwdKernel, half, int)
-
+MS_REG_GPU_KERNEL_TWO(SparseGatherV2,
+                      KernelAttr()
+                        .AddInputAttr(kNumberTypeFloat32)
+                        .AddInputAttr(kNumberTypeInt32)
+                        .AddInputAttr(kNumberTypeInt64)
+                        .AddOutputAttr(kNumberTypeFloat32),
+                      GatherV2GpuFwdKernel, float, int)
+MS_REG_GPU_KERNEL_TWO(SparseGatherV2,
+                      KernelAttr()
+                        .AddInputAttr(kNumberTypeFloat16)
+                        .AddInputAttr(kNumberTypeInt32)
+                        .AddInputAttr(kNumberTypeInt64)
+                        .AddOutputAttr(kNumberTypeFloat16),
+                      GatherV2GpuFwdKernel, half, int)
 }  // namespace kernel
 }  // namespace mindspore

mindspore/ops/operations/array_ops.py

@@ -794,6 +794,9 @@ class SparseGatherV2(GatherV2):
     Outputs:
         Tensor, the shape of tensor is :math:`(z_1, z_2, ..., z_N)`.
 
+    Supported Platforms:
+        ``GPU``
+
     Examples:
         >>> input_params = Tensor(np.array([[1, 2, 7, 42], [3, 4, 54, 22], [2, 2, 55, 3]]), mindspore.float32)
         >>> input_indices = Tensor(np.array([1, 2]), mindspore.int32)