kazum commented on a change in pull request #5235:
URL: https://github.com/apache/incubator-tvm/pull/5235#discussion_r454215337
##########
File path: tests/python/relay/test_pass_fuse_ops.py
##########
@@ -621,6 +621,81 @@ def expected():
after = run_opt_pass(expected(), transform.InferType())
assert tvm.ir.structural_equal(zz, after)
+
+def test_fuse_take():
+ """Test fusion case involving concat and take"""
+
+ def before():
+ shape = (tvm.tir.const(10, "int64"),
+ tvm.tir.const(1, "int64"))
+ x = relay.var("x", shape=shape)
+ concat = relay.concatenate([x,x], axis=-1)
+ out = relay.op.take(concat, indices=relay.const([0], dtype="int64"))
+ return relay.Function(relay.analysis.free_vars(out), out)
+
+ def expected():
+ shape1 = (tvm.tir.const(10, "int64"),
+ tvm.tir.const(1, "int64"))
+ shape2 = (tvm.tir.const(1, "int64"),)
+ x = relay.var("x", shape=shape1)
+ p0 = relay.var("p0", shape=shape1)
+ p1 = relay.var("p1", shape=shape2,
+ dtype="int64")
+ c = relay.const([0], dtype="int64")
+ concat = relay.concatenate([p0,p0], axis=-1)
+ out = relay.op.take(concat, indices=p1)
+
+ f0 = relay.Function([p0, p1], out)
+ f0 = f0.with_attr("Primitive", tvm.tir.IntImm("int32", 1))
+
+ y = relay.Call(f0, [x, c])
+ return relay.Function([x], y)
+
+ orig = before()
+ fuse0(tvm.IRModule.from_expr(orig))
Review comment:
Maybe yes, I just copied the lines from other tests in the same file.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
