(register_te_grads)
| 227 | |
| 228 | |
| 229 | def test_emit_te_kwargs(register_te_grads): |
| 230 | # Build the target module using emit_te |
| 231 | def f_mul2(src): |
| 232 | return tvm.te.compute(src.shape, lambda *idx: src[idx] * T.float32(2), name="f_mul2") |
| 233 | |
| 234 | a = relax.Var("a", relax.TensorStructInfo([5, 5], "float32")) |
| 235 | |
| 236 | bb = relax.BlockBuilder() |
| 237 | with bb.function("main", [a]): |
| 238 | with bb.dataflow(): |
| 239 | d = bb.emit( |
| 240 | bb.call_te_with_grad( |
| 241 | f_mul2, |
| 242 | a, |
| 243 | primfunc_name_hint="f_mul", |
| 244 | te_grad_name="f_mulk_grad", |
| 245 | te_grad_kwargs={"k": T.float32(2)}, |
| 246 | ) |
| 247 | ) |
| 248 | out = bb.emit_output(R.sum(d)) |
| 249 | bb.emit_func_output(out) |
| 250 | |
| 251 | Before = bb.get() |
| 252 | After = Gradient("main")(Before) |
| 253 | |
| 254 | assert_structural_equal(After, get_expected_2()) |
| 255 | |
| 256 | |
| 257 | def test_call_tir_kwargs(register_te_grads): |
nothing calls this directly
no test coverage detected
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