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https://github.com/firestar5683/StarPilot.git
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firestar5683
22a8575199
Keep official openpilot ancestry and dependency licenses. Store resources directly in Git, remove LFS setup requirements, and leave the downloadable big model outside the source tree.
40 lines
1.6 KiB
Python
40 lines
1.6 KiB
Python
import time, unittest
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from tinygrad.runtime.support.hip_comgr import compile_hip
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from tinygrad import Tensor
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from tinygrad.device import Device
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from tinygrad.schedule import create_schedule
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from tinygrad.codegen.opt.kernel import Kernel
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class TestHIPCompileSpeed(unittest.TestCase):
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@unittest.skipIf(Device.DEFAULT != "HIP", "only run on HIP")
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def test_hip_compile(self):
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a, b = Tensor([1,2,3,4,5]), Tensor([1,2,3,4,5])
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out = a + b
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lin = Kernel(create_schedule([out.uop])[-1].ast[0])
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lin.to_program()
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reference = """
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#include <hip/hip_common.h>
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typedef long unsigned int size_t;
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extern "C" __attribute__((device)) __attribute__((const)) size_t __ockl_get_local_id(unsigned int);
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extern "C" __attribute__((device)) __attribute__((const)) size_t __ockl_get_group_id(unsigned int);
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extern "C" __attribute__((device)) __attribute__((const)) size_t __ockl_get_local_size(unsigned int);
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extern "C" __attribute__((global))void {name}(int* data0, const int* data1, const int* data2) {{
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int gidx0 = __ockl_get_group_id(0); /* 5 */
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int val0 = data1[gidx0];
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int val1 = data2[gidx0];
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data0[gidx0] = (val0+val1);
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}}
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"""
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def time_compile(code):
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st = time.perf_counter()
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compile_hip(code)
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return (time.perf_counter() - st) * 1000
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tinygrad_tm = min([time_compile(Device[Device.DEFAULT].renderer.render(f"test{i}", lin.uops)) for i in range(10)])
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ref_tm = min([time_compile(reference.format(name=f"test{i}")) for i in range(10)])
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print(f"tinygrad {tinygrad_tm:6.2f} ms")
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print(f"reference {ref_tm:6.2f} ms")
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assert (tinygrad_tm - ref_tm) <= 10
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