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https://github.com/tile-ai/tilelang.git
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120 lines
3.4 KiB
Python
120 lines
3.4 KiB
Python
# type: ignore
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import tilelang
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import tilelang.testing
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import tilelang.language as T
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def debug_print_buffer(M=16, N=16, dtype="float16"):
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@T.prim_func
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def program(Q: T.Tensor((M, N), dtype)):
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with T.Kernel(4, 4, 2, threads=128 * 2) as (bx, by, bz):
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shared_buf = T.alloc_shared([M, N], dtype)
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T.print(shared_buf)
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jit_kernel = tilelang.compile(program, target="cuda", execution_backend="tvm_ffi")
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profiler = jit_kernel.get_profiler()
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profiler.run_once()
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def test_debug_print_buffer():
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debug_print_buffer(dtype="bool")
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debug_print_buffer(dtype="int8")
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debug_print_buffer(dtype="int16")
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debug_print_buffer(dtype="int32")
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debug_print_buffer(dtype="int64")
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debug_print_buffer(dtype="uint8")
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debug_print_buffer(dtype="uint16")
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debug_print_buffer(dtype="uint32")
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debug_print_buffer(dtype="uint64")
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debug_print_buffer(dtype="float16")
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debug_print_buffer(dtype="float32")
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debug_print_buffer(dtype="float64")
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debug_print_buffer(dtype="bfloat16")
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debug_print_buffer(dtype="float8_e4m3")
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debug_print_buffer(dtype="float8_e4m3fn")
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debug_print_buffer(dtype="float8_e4m3fnuz")
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debug_print_buffer(dtype="float8_e5m2")
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debug_print_buffer(dtype="float8_e5m2fnuz")
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def debug_print_buffer_conditional(M=16, N=16):
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dtype = "float16"
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@T.prim_func
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def program(Q: T.Tensor((M, N), dtype)):
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with T.Kernel(4, 4, 2, threads=128 * 2) as (bx, by, bz):
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shared_buf = T.alloc_shared([M, N], dtype)
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if bx == 0 and by == 0 and bz == 0:
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T.print(shared_buf)
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jit_kernel = tilelang.compile(program, target="cuda")
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profiler = jit_kernel.get_profiler()
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profiler.run_once()
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def test_debug_print_buffer_conditional():
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debug_print_buffer_conditional(16, 16)
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def debug_print_value_conditional(M=16, N=16):
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dtype = "float16"
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@T.prim_func
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def program(Q: T.Tensor((M, N), dtype)):
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with T.Kernel(4, 4, 2, threads=128 * 2) as (bx, by, bz):
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tid = T.get_thread_binding()
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if tid == 0:
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T.print(bx + by + bz)
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jit_kernel = tilelang.compile(program, target="cuda")
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profiler = jit_kernel.get_profiler()
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profiler.run_once()
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def test_debug_print_value_conditional():
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debug_print_value_conditional(16, 16)
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def debug_print_register_files(M=16, N=16):
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dtype = "float16"
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@T.prim_func
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def program(Q: T.Tensor((M, N), dtype)):
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with T.Kernel(4, 4, 2, threads=128 * 2) as (bx, by, bz):
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register_buf = T.alloc_fragment([M, N], dtype)
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for i, j in T.Parallel(M, N):
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T.print(register_buf[i, j])
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jit_kernel = tilelang.compile(program, target="cuda")
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profiler = jit_kernel.get_profiler()
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profiler.run_once()
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def test_debug_print_register_files():
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debug_print_register_files(16, 16)
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def debug_print_msg(M=16, N=16):
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dtype = "float16"
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@T.prim_func
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def program(Q: T.Tensor((M, N), dtype)):
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with T.Kernel(4, 4, 2, threads=128 * 2) as (bx, by, bz):
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tid = T.get_thread_binding()
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if tid == 0:
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T.print(bx + by + bz, msg="hello world")
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jit_kernel = tilelang.compile(program, target="cuda")
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profiler = jit_kernel.get_profiler()
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profiler.run_once()
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def test_debug_print_msg():
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debug_print_msg(16, 16)
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if __name__ == "__main__":
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tilelang.testing.main()
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