areusch commented on a change in pull request #9065:
URL: https://github.com/apache/tvm/pull/9065#discussion_r715176748
##########
File path: tests/python/relay/aot/test_crt_aot.py
##########
@@ -589,5 +590,41 @@ def test_memory_planning(workspace_byte_alignment,
main_workspace_size, sum_work
)
+def test_aot_codegen_backend_alloc_workspace_calls():
+ dtype = "float32"
+
+ # These shapes should create small tensors that would
+ # get lowered to stack allocations in the CPU PrimFuncs.
+ # However, the AoT executor codegen should retain them
+ # as TVMBAW calls
+ ishape = (1, 4, 4, 4)
+ wshape = (4, 4, 3, 3)
+
+ data0 = relay.var("data", shape=ishape, dtype=dtype)
+ weight0 = relay.var("weight", shape=wshape, dtype=dtype)
+ out = relay.nn.conv2d(data0, weight0, kernel_size=(3, 3), padding=(1, 1),
groups=1)
+ main_f = relay.Function([data0, weight0], out)
+ mod = tvm.IRModule()
+ mod["main"] = main_f
+ mod = transform.InferType()(mod)
+
+ i_data = np.random.uniform(0, 1, ishape).astype(dtype)
+ w1_data = np.random.uniform(0, 1, wshape).astype(dtype)
+
+ inputs = OrderedDict([("data", i_data), ("weight", w1_data)])
+ output_list = generate_ref_data(mod, inputs)
+
+ compiled_runtime_modules = compile_models(
Review comment:
@mbs-octoml @denise-k can we add a tracking/cleanup task to make this
kind of assert easier to write? And flag to cleanup this test?
--
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]
