mseth10 commented on a change in pull request #15886: Graph Partition API
URL: https://github.com/apache/incubator-mxnet/pull/15886#discussion_r317239988
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File path: tests/python/unittest/test_subgraph_op.py
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@@ -146,11 +146,135 @@ def get_executor(sym, subgraph_backend=None,
op_names=None, original_exec=None):
for i in range(len(outputs1)):
assert_almost_equal((outputs1[i] -
outputs2[i]).abs().sum().asnumpy(), np.zeros(shape=(1,)))
+ def _check_subgraph_exe5(sym, subgraph_backend, op_names):
+ """Call optimize_for to trigger graph partitioning without infer
shapes/types before,
+ then simple_bind and compare results of the partitioned sym and the
original sym."""
+ # simple_bind
+ exe1 = sym.simple_bind(ctx=mx.current_context(), grad_req='null')
+ input_names = sym.list_inputs()
+ for name in input_names:
+ if name in exe1.arg_dict:
+ exe1.arg_dict[name][:] =
mx.nd.random.uniform(shape=exe1.arg_dict[name].shape)
+ else:
+ assert name in exe1.aux_dict
+ exe1.aux_dict[name][:] =
mx.nd.random.uniform(shape=exe1.aux_dict[name].shape)
+ exe1.forward()
+
+ # partition before simple_bind
+ check_call(_LIB.MXSetSubgraphPropertyOpNames(c_str(subgraph_backend),
mx_uint(len(op_names)),
+ c_str_array(op_names)))
+ part_sym = sym.optimize_for(subgraph_backend)
+
check_call(_LIB.MXRemoveSubgraphPropertyOpNames(c_str(subgraph_backend)))
+ exe2 = part_sym.simple_bind(ctx=mx.current_context(), grad_req='null')
+ for name in input_names:
Review comment:
The loop assigns random inputs to executor generated using simple_bind. Both
executors share the same set of inputs. Refactored the code and added comments.
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