Add demo_tilelang_to_ninetoothed.py

Author: voltjia

demo_tilelang_to_ninetoothed.py

@@ -0,0 +1,194 @@
+import torch
+import triton
+
+import ops.ninetoothed.kernels.mm
+import ops.tilelang.kernels.mm
+import ops.triton.kernels.mm
+import tilelang_to_ninetoothed
+
+BLOCK_SIZE_M = 128
+BLOCK_SIZE_N = 128
+BLOCK_SIZE_K = 32
+
+ninetoothed_mm_kernel = ops.ninetoothed.kernels.mm.kernel
+
+triton_mm_kernel = ops.triton.kernels.mm.kernel
+
+tilelang_mm_kernel = ops.tilelang.kernels.mm.mm(
+    ops.tilelang.kernels.mm.M,
+    ops.tilelang.kernels.mm.N,
+    ops.tilelang.kernels.mm.K,
+    BLOCK_SIZE_M,
+    BLOCK_SIZE_N,
+    BLOCK_SIZE_K,
+)
+
+ninetoothed_mm_kernel_from_tilelang = (
+    tilelang_to_ninetoothed.transform_tilelang_to_ninetoothed(
+        ops.tilelang.kernels.mm.mm
+    )
+)
+
+
+def ninetoothed_mm(input, other):
+    output_shape = (input.shape[0], other.shape[1])
+    output = torch.empty(output_shape, dtype=input.dtype, device=input.device)
+
+    ninetoothed_mm_kernel(input, other, output)
+
+    return output
+
+
+def triton_mm(input, other):
+    output_shape = (input.shape[0], other.shape[1])
+    output = torch.empty(output_shape, dtype=input.dtype, device=input.device)
+
+    def grid(meta):
+        return (
+            triton.cdiv(input.shape[0], meta["BLOCK_SIZE_M"])
+            * triton.cdiv(other.shape[1], meta["BLOCK_SIZE_N"]),
+        )
+
+    triton_mm_kernel[grid](
+        input,
+        other,
+        output,
+        input.shape[0],
+        other.shape[1],
+        input.shape[1],
+        input.stride(0),
+        input.stride(1),
+        other.stride(0),
+        other.stride(1),
+        output.stride(0),
+        output.stride(1),
+    )
+
+    return output
+
+
+def tilelang_mm(input, other):
+    output_shape = (input.shape[0], other.shape[1])
+    output = torch.empty(output_shape, dtype=input.dtype, device=input.device)
+
+    tilelang_mm_kernel(input, other, output)
+
+    return output
+
+
+def ninetoothed_from_tilelang_mm(input, other):
+    m, k = input.shape
+    _, n = other.shape
+
+    output = torch.empty((m, n), dtype=input.dtype, device=input.device)
+
+    ninetoothed_mm_kernel_from_tilelang(
+        input,
+        other,
+        output,
+        M=m,
+        N=n,
+        K=k,
+        block_M=BLOCK_SIZE_M,
+        block_N=BLOCK_SIZE_N,
+        block_K=BLOCK_SIZE_K,
+    )
+
+    return output
+
+
+def torch_mm(input, other):
+    return torch.mm(input, other)
+
+
+if __name__ == "__main__":
+    torch.manual_seed(0)
+
+    shape = (512, 512)
+    dtype = torch.float16
+    device = "cuda"
+
+    input = torch.randn(shape, dtype=dtype, device=device)
+    other = torch.randn(shape, dtype=dtype, device=device)
+
+    ninetoothed_output = ninetoothed_mm(input, other)
+    torch_output = torch_mm(input, other)
+    triton_output = triton_mm(input, other)
+    tilelang_output = tilelang_mm(input, other)
+    ninetoothed_from_tilelang_output = ninetoothed_from_tilelang_mm(input, other)
+
+    print(ninetoothed_output)
+    print(torch_output)
+    print(triton_output)
+    print(tilelang_output)
+    print(ninetoothed_from_tilelang_output)
+
+    if torch.allclose(ninetoothed_output, torch_output):
+        print("✅ NineToothed and PyTorch match.")
+    else:
+        print("❌ NineToothed and PyTorch differ.")
+    if torch.allclose(ninetoothed_output, triton_output, atol=0, rtol=0):
+        print("✅ NineToothed and Triton match.")
+    else:
+        print("❌ NineToothed and Triton differ.")
+    if torch.allclose(ninetoothed_output, tilelang_output):
+        print("✅ NineToothed and TileLang match.")
+    else:
+        print("❌ NineToothed and TileLang differ.")
+    if torch.allclose(ninetoothed_output, ninetoothed_from_tilelang_output):
+        print("✅ NineToothed and NineToothed from TileLang match.")
+    else:
+        print("❌ NineToothed and NineToothed from TileLang differ.")
+
+    @triton.testing.perf_report(
+        triton.testing.Benchmark(
+            x_names=["m", "n", "k"],
+            x_vals=[2**i for i in range(8, 13)],
+            x_log=True,
+            line_arg="provider",
+            line_vals=[
+                "ninetoothed",
+                "torch",
+                "triton",
+                "tilelang",
+                "ninetoothed_from_tilelang",
+            ],
+            line_names=[
+                "NineToothed",
+                "PyTorch",
+                "Triton",
+                "TileLang",
+                "NineToothed from TileLang",
+            ],
+            styles=[
+                ("blue", "-"),
+                ("green", "-"),
+                ("orange", "-"),
+                ("cyan", "-"),
+                ("purple", "-"),
+            ],
+            ylabel="ms",
+            plot_name="mm-performance",
+            args={},
+        )
+    )
+    def benchmark(m, n, k, provider):
+        input = torch.randn((m, k), dtype=dtype, device=device)
+        other = torch.randn((k, n), dtype=dtype, device=device)
+
+        if provider == "ninetoothed":
+            ms = triton.testing.do_bench(lambda: ninetoothed_mm(input, other))
+        elif provider == "torch":
+            ms = triton.testing.do_bench(lambda: torch_mm(input, other))
+        elif provider == "triton":
+            ms = triton.testing.do_bench(lambda: triton_mm(input, other))
+        elif provider == "tilelang":
+            ms = triton.testing.do_bench(lambda: tilelang_mm(input, other))
+        elif provider == "ninetoothed_from_tilelang":
+            ms = triton.testing.do_bench(
+                lambda: ninetoothed_from_tilelang_mm(input, other)
+            )
+
+        return ms
+
+    benchmark.run(show_plots=True, print_data=True, save_path=".")