MasterJH5574 commented on code in PR #16498:
URL: https://github.com/apache/tvm/pull/16498#discussion_r1520284522
##########
tests/python/relax/test_frontend_nn_op.py:
##########
@@ -619,6 +619,111 @@ def test(qkv: R.Tensor((1, 1, 24, 16), dtype="float16"),
offset: R.Shape(["offse
tvm.ir.assert_structural_equal(irmodule, Expected)
+def test_tensor_ir_inplace_op():
+ hidden_size = 4096
+ dtype = "float16"
+
+ @T.prim_func
+ def inplace_take(
+ var_weight: T.handle, var_pos: T.handle, var_embeddings: T.handle,
offset: T.int64
+ ):
+ T.func_attr({"tir.noalias": T.bool(True)})
+ vocab_size = T.int64()
+ weight = T.match_buffer(var_weight, (vocab_size, hidden_size), dtype)
+ seq_len = T.int64()
+ total_seq_len = T.int64()
+ pos = T.match_buffer(var_pos, (seq_len,), "int32")
+ embeddings = T.match_buffer(var_embeddings, (total_seq_len,
hidden_size), dtype)
+ for ax0, ax1 in T.grid(seq_len, hidden_size):
+ with T.block("T_take"):
+ v0, v1 = T.axis.remap("SS", [ax0, ax1])
+ T.reads(weight[pos[v0], v1], pos[v0])
+ T.writes(embeddings[v0, v1])
+ embeddings[v0 + offset, v1] = weight[pos[v0], v1]
+
+ class Model(Module):
+ def test(
+ self, embedding_table: Tensor, input_ids: Tensor, embedding_dst:
Tensor, offset: int
+ ):
+ tensor_expr_op_out = op.tensor_ir_op(
Review Comment:
Ooooooops sorry my bad. Is that updated? Or I can find a chance to update
the test next time.
--
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.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
