MasterJH5574 commented on code in PR #16498:
URL: https://github.com/apache/tvm/pull/16498#discussion_r1520548776
##########
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:
Thank you so much for letting me know!
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