zhaojinxi commented on PR #13693:
URL: https://github.com/apache/tvm/pull/13693#issuecomment-1371869902
@masahi Try the code below, with the old wrong code, it will print "p0 has
shape: [1, 3, 4, 16]", actually it should print "p0 has shape: [3, 3, 1, 1]"
import tvm
import numpy
from tvm import relay
from tvm.contrib.debugger.debug_executor import GraphModuleDebug
x = relay.var("x", shape=(1, 3, 48, 16), dtype="float32")
t = relay.split(x, [12, 16, 32], 2).astuple()
x0 = relay.TupleGetItem(t, 0)
x1 = relay.TupleGetItem(t, 1)
x2 = relay.TupleGetItem(t, 2)
x3 = relay.TupleGetItem(t, 3)
weight = relay.const(numpy.random.uniform(-1, 1, (3, 3, 1,
1)).astype("float32"))
y = relay.nn.conv2d(x2, weight, kernel_size=(1, 1), kernel_layout="OIHW",
out_dtype="float32") + x3
func = relay.Function([x], relay.Tuple([x0, x1, y]))
mod = tvm.IRModule.from_expr(func)
mod = relay.transform.InferType()(mod)
target = tvm.target.Target("llvm")
device = tvm.cpu()
lib = relay.build(mod, target=target)
m = GraphModuleDebug(lib["debug_create"]("default", device), [device],
lib.get_graph_json(), ".")
nodes = m.debug_datum.get_graph_nodes()
print(nodes[2]['name'],' has shape: ',nodes[2]['shape'])
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