import numpy as np import tvm from tvm.contrib import rpc, util, emscripten def test_local_save_load(): if not tvm.module.enabled("opengl"): return if not tvm.module.enabled("llvm"): return n = tvm.var("n") A = tvm.placeholder((n,), name='A', dtype='int32') B = tvm.placeholder((n,), name='B', dtype='int32') C = tvm.compute(A.shape, lambda i: A[i] + B[i], name="C") s = tvm.create_schedule(C.op) s[C].opengl() f = tvm.build(s, [A, B, C], "opengl", target_host="llvm", name="myadd") ctx = tvm.opengl(0) n = 10 a = tvm.nd.array(np.random.uniform(high=10, size=(n)).astype(A.dtype), ctx) b = tvm.nd.array(np.random.uniform(high=10, size=(n)).astype(B.dtype), ctx) c = tvm.nd.array(np.zeros((n), dtype=C.dtype), ctx) f(a, b, c) temp = util.tempdir() path_so = temp.relpath("myadd.so") f.export_library(path_so) f1 = tvm.module.load(path_so) f1(a, b, c) np.testing.assert_allclose(c.asnumpy(), a.asnumpy() + b.asnumpy()) if __name__ == "__main__": test_local_save_load()