| import tvm |
| import numpy as np |
| |
| def test_local_gemm(): |
| if not tvm.module.enabled("opengl"): |
| return |
| if not tvm.module.enabled("llvm"): |
| return |
| |
| nn = 1024 |
| n = tvm.var('n') |
| n = tvm.convert(nn) |
| m = n |
| l = n |
| A = tvm.placeholder((n, l), name='A', dtype='int32') |
| B = tvm.placeholder((m, l), name='B', dtype='int32') |
| k = tvm.reduce_axis((0, l), name='k') |
| C = tvm.compute((n, m), lambda ii, jj: tvm.sum(A[ii, k] * B[jj, k], axis=k), |
| name='CC') |
| |
| s = tvm.create_schedule(C.op) |
| s[C].opengl() |
| print(tvm.lower(s, [A, B, C], simple_mode=True)) |
| |
| f = tvm.build(s, [A, B, C], "opengl", name="gemm") |
| print("------opengl code------") |
| print(f.imported_modules[0].get_source(fmt="gl")) |
| |
| ctx = tvm.opengl() |
| n, m, l = nn, nn, nn |
| a_np = np.random.uniform(low=0, high=10, size=(n, l)).astype(A.dtype) |
| b_np = np.random.uniform(low=0, high=10, size=(m, l)).astype(B.dtype) |
| a = tvm.nd.array(a_np, ctx) |
| b = tvm.nd.array(b_np, ctx) |
| c = tvm.nd.array(np.zeros((n, m), dtype=C.dtype), ctx) |
| f(a, b, c) |
| |
| tvm.testing.assert_allclose(c.asnumpy(), np.dot(a_np, b_np.T)) |
| |
| if __name__ == "__main__": |
| test_local_gemm() |
