def test_build_quantizer_propagation_state_graph_from_ip_graph(self):
ip_graph = InsertionPointGraph(get_two_branch_mock_model_graph())
quant_prop_graph = QPSG(ip_graph)
assert len(ip_graph.nodes) == len(quant_prop_graph.nodes)
assert len(ip_graph.edges) == len(quant_prop_graph.edges)
for ip_graph_node_key, ip_graph_node in ip_graph.nodes.items():
qpg_node = quant_prop_graph.nodes[ip_graph_node_key]
assert qpg_node[QPSG.NODE_TYPE_NODE_ATTR] == QPSG.ipg_node_type_to_qpsg_node_type(ip_graph_node[
InsertionPointGraph.NODE_TYPE_NODE_ATTR])
qpg_node_type = qpg_node[QPSG.NODE_TYPE_NODE_ATTR]
if qpg_node_type == QuantizerPropagationStateGraphNodeType.INSERTION_POINT:
assert qpg_node[QPSG.PROPAGATING_QUANTIZER_NODE_ATTR] is None
assert not qpg_node[QPSG.AFFECTING_PROPAGATING_QUANTIZERS_ATTR]
assert qpg_node[QPSG.INSERTION_POINT_DATA_NODE_ATTR] == ip_graph_node[
InsertionPointGraph.INSERTION_POINT_DATA_NODE_ATTR]
elif qpg_node_type == QuantizerPropagationStateGraphNodeType.OPERATOR:
assert not qpg_node[QPSG.ALLOWED_INPUT_QUANTIZATION_TYPES_NODE_ATTR]
assert qpg_node[QPSG.QUANTIZATION_TRAIT_NODE_ATTR] == QuantizationTrait.NON_QUANTIZABLE
assert not qpg_node[QPSG.AFFECTING_PROPAGATING_QUANTIZERS_ATTR]
for from_node, to_node, edge_data in ip_graph.edges(data=True):
qpg_edge_data = quant_prop_graph.edges[from_node, to_node]
assert not qpg_edge_data[QPSG.AFFECTING_PROPAGATING_QUANTIZERS_ATTR]
for key, value in edge_data.items():
assert qpg_edge_data[key] == value
quant_prop_graph.run_consistency_check()
def mock_qp_graph():
ip_graph = InsertionPointGraph(get_two_branch_mock_model_graph())
qpsg = QPSG(ip_graph)
qpsg.skip_check = False
yield qpsg
if not qpsg.skip_check:
qpsg.run_consistency_check()
def test_merge_quantizer_into_path(self,
merge_quantizer_into_path_test_struct):
mock_graph = self.get_model_graph()
ip_graph = InsertionPointGraph(mock_graph)
quant_prop_graph = QPSG(ip_graph)
for quantizers_test_struct in merge_quantizer_into_path_test_struct.start_set_quantizers:
init_node_to_trait_and_configs_dict = quantizers_test_struct.init_node_to_trait_and_configs_dict
starting_quantizer_ip_node = quantizers_test_struct.starting_quantizer_ip_node
target_node = quantizers_test_struct.target_node_for_quantizer
is_merged = quantizers_test_struct.is_merged
prop_path = quantizers_test_struct.prop_path
for node in quant_prop_graph.nodes.values():
node[
QPSG.
QUANTIZATION_TRAIT_NODE_ATTR] = QuantizationTrait.QUANTIZATION_AGNOSTIC
master_prop_quant = None
merged_prop_quant = []
for node_key, trait_and_configs_tuple in init_node_to_trait_and_configs_dict.items(
):
trait = trait_and_configs_tuple[0]
qconfigs = trait_and_configs_tuple[1]
quant_prop_graph.nodes[node_key][
QPSG.QUANTIZATION_TRAIT_NODE_ATTR] = trait
if trait == QuantizationTrait.INPUTS_QUANTIZABLE:
ip_node_key = InsertionPointGraph.get_pre_hook_node_key(
node_key)
prop_quant = quant_prop_graph.add_propagating_quantizer(
qconfigs, ip_node_key)
if ip_node_key == starting_quantizer_ip_node:
master_prop_quant = prop_quant
path = get_edge_paths_for_propagation(quant_prop_graph,
target_node,
starting_quantizer_ip_node)
master_prop_quant = quant_prop_graph.propagate_quantizer_via_path(
master_prop_quant, path[0])
if is_merged:
merged_prop_quant.append((master_prop_quant, prop_path))
for prop_quant, prop_path in merged_prop_quant:
quant_prop_graph.merge_quantizer_into_path(prop_quant, prop_path)
expected_quantizers_test_struct = merge_quantizer_into_path_test_struct.expected_set_quantizers
self.check_final_state_qpsg(quant_prop_graph,
expected_quantizers_test_struct)
def model_graph_qpsg(self):
mock_graph = self.get_model_graph()
ip_graph = InsertionPointGraph(mock_graph)
quant_prop_graph = QPSG(ip_graph)
return quant_prop_graph
def mock_qp_graph():
ip_graph = InsertionPointGraph(get_two_branch_mock_model_graph())
yield QPSG(ip_graph)