CUTLASS example added, license headers added, fixes

- Add license header to each example file.
- Fixed broken runs caused by type declarations.
- Fixed hang in throughput.py when --run-once by doing a
  manual warm-up step, like in auto_throughput.py

python/examples/throughput.py

@@ -25,7 +25,7 @@ def as_cuda_Stream(cs: nvbench.CudaStream) -> cuda.cudadrv.driver.Stream:
     return cuda.external_stream(cs.addressof())
 
 
-def make_kernel(items_per_thread: int) -> cuda.compiler.AutoJitCUDAKernel:
+def make_kernel(items_per_thread: int) -> cuda.dispatcher.CUDADispatcher:
     @cuda.jit
     def kernel(stride: np.uintp, elements: np.uintp, in_arr, out_arr):
         tid = cuda.grid(1)
@@ -59,6 +59,13 @@ def throughput_bench(state: nvbench.State) -> None:
 
     krn = make_kernel(ipt)
 
+    # warm-up call ensures that kernel is loaded into context
+    # before blocking kernel is launched. Kernel loading may
+    # cause synchronization to occur.
+    krn[blocks_in_grid, threads_per_block, alloc_stream, 0](
+        stride, elements, inp_arr, out_arr
+    )
+
     def launcher(launch: nvbench.Launch):
         exec_stream = as_cuda_Stream(launch.get_stream())
         krn[blocks_in_grid, threads_per_block, exec_stream, 0](