jikechao opened a new pull request, #17957: URL: https://github.com/apache/tvm/pull/17957
Fix https://github.com/apache/tvm/issues/17956. Fixes `te.create_prim_func` to properly handle nested tensor lists (e.g., [input, [output1, output2]]), enabling correct IR generation for multi-output ops like topk. After the `te.create_prim_func` can generate correct IR for the test in https://github.com/apache/tvm/issues/17956. ``` @I.ir_module class Module: @T.prim_func def main(var_data: T.handle, var_topk_cpu_v0: T.handle, var_topk_cpu_v1: T.handle): T.func_attr({"tir.noalias": True}) data_buf = T.match_buffer(var_data, (128, 64), align=8) value_buf = T.match_buffer(var_topk_cpu_v0, (128, 10), align=8) indices_buf = T.match_buffer(var_topk_cpu_v1, (128, 10), "int64", align=8) with T.block("topk_cpu"): T.reads() T.writes() T.call_packed("tvm.contrib.sort.topk", T.tvm_stack_make_array(data_buf.data, T.tvm_stack_make_shape(128, 64), 0, 2, T.float32(0.0), 0), T.tvm_stack_make_array(value_buf.data, T.tvm_stack_make_shape(128, 10), 0, 2, T.float32(0.0), 0), T.tvm_stack_make_array(indices_buf.data, T.tvm_stack_make_shape(128, 10), 0, 2, T.int64(0), 0), 10, 1, "both", T.bool(False)) ``` -- 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]
