()
| 32 | |
| 33 | |
| 34 | def test_trace_expr_assign(): |
| 35 | @tvm.register_global_func("tvm.tirx.trace_callback2") |
| 36 | def trace_buffer(x): |
| 37 | return |
| 38 | |
| 39 | def check_assign(dtype): |
| 40 | n = 4 |
| 41 | x = te.placeholder((n, n, n), name="X", dtype=dtype) |
| 42 | y = te.compute( |
| 43 | x.shape, lambda i, j, k: tvm.tirx.trace([x[i][j][k]], "tvm.tirx.trace_callback2") |
| 44 | ) |
| 45 | z = te.compute( |
| 46 | x.shape, lambda i, j, k: tvm.tirx.trace([y[i][j][k]], "tvm.tirx.trace_callback2") |
| 47 | ) |
| 48 | f = tvm.compile(te.create_prim_func([x, y, z]), "llvm") |
| 49 | |
| 50 | xnd = tvm.runtime.tensor(np.ones((n, n, n), dtype=x.dtype)) |
| 51 | ynd = tvm.runtime.tensor(np.zeros((n, n, n), dtype=y.dtype)) |
| 52 | znd = tvm.runtime.tensor(np.zeros((n, n, n), dtype=z.dtype)) |
| 53 | f(xnd, ynd, znd) |
| 54 | |
| 55 | assert np.array_equal(xnd.numpy(), np.ones((n, n, n))) |
| 56 | assert np.array_equal(ynd.numpy(), np.ones((n, n, n))) |
| 57 | assert np.array_equal(znd.numpy(), np.ones((n, n, n))) |
| 58 | |
| 59 | for t in ["float64", "float32", "int64", "int32"]: |
| 60 | check_assign(t) |
| 61 | |
| 62 | |
| 63 | def test_trace_expr_sum_generated(): |
nothing calls this directly
no test coverage detected
searching dependent graphs…