fixed missing reverse_compute_at

Author: masahi

tests/python/unittest/test_mma_16x8x8_4k.py

@@ -289,7 +289,7 @@ def lambda_b(i, j):
 
         # fetch to C_warp 16 * 8 -> 32 * 4
         C_warp = sch.cache_write(block, 0, "warp")
-        # sch.reverse_compute_at(C_warp, sch.get_loops(block)[0])
+        sch.reverse_compute_at(C_warp, sch.get_loops(block)[0])
         # need to do a reverse_compute_at to place it under blockidx.x
 
         sch.transform_layout(
@@ -307,6 +307,7 @@ def lambda_b(i, j):
         fused_2 = sch.fuse(f_0, f_3)
         sch.bind(fused_1, "threadIdx.x")
 
+
         block_init_c = sch.decompose_reduction(block, sch.get_loops(block)[1])
 
         block_init_c = sch.get_block("C_init")
@@ -345,6 +346,13 @@ def lambda_b(i, j):
     print(f.imported_modules[0].get_source())
     tvm.testing.assert_allclose(c.numpy(), c_np, rtol=1e-3)
 
+    print("ok")
+
+    evaluator = f.time_evaluator(f.entry_name, dev, number=100)
+    gflops = (N * M * K) * 2 / 1e9
+    time_ms = evaluator(a, b, c).mean * 1e3
+    print("matmul with tensor core: %f ms, %f GFLOPS" % (time_ms, gflops / (time_ms / 1e3)))
+
 
 if __name__ == "__main__":
     test_integration_matmul()