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8 changes: 8 additions & 0 deletions src/qonnx/transformation/extract_quant_scale_zeropt.py
Original file line number Diff line number Diff line change
Expand Up @@ -69,6 +69,8 @@ def apply(self, model: ModelWrapper):
)
graph.value_info.append(inp_scaled)
inp_scale_node = helper.make_node("Div", [running_input, scale_nm], [inp_scaled_nm])
if hasattr(node, "metadata_props"):
inp_scale_node.metadata_props.extend(node.metadata_props)
graph.node.append(inp_scale_node)
# create new Mul node
# remove scale from Quant node
Expand All @@ -87,6 +89,8 @@ def apply(self, model: ModelWrapper):
)
graph.value_info.append(inp_zeropt)
inp_zeropt_node = helper.make_node("Add", [running_input, zeropt_nm], [inp_zeropt_nm])
if hasattr(node, "metadata_props"):
inp_zeropt_node.metadata_props.extend(node.metadata_props)
graph.node.append(inp_zeropt_node)
# remove zeropt from Quant node
new_zeropt_nm = model.make_new_valueinfo_name()
Expand All @@ -108,6 +112,8 @@ def apply(self, model: ModelWrapper):
)
graph.value_info.append(out_zeropt)
out_zeropt_node = helper.make_node("Sub", [out_zeropt_nm, zeropt_nm], [final_output])
if hasattr(node, "metadata_props"):
out_zeropt_node.metadata_props.extend(node.metadata_props)
last_node.output[0] = out_zeropt_nm
graph.node.append(out_zeropt_node)
# important: when tracking a pointer to newly added nodes,
Expand All @@ -127,6 +133,8 @@ def apply(self, model: ModelWrapper):
last_node.output[0] = out_scale_nm
graph.value_info.append(out_scale)
out_scale_node = helper.make_node("Mul", [out_scale_nm, scale_nm], [final_output])
if hasattr(node, "metadata_props"):
out_scale_node.metadata_props.extend(node.metadata_props)
graph.node.append(out_scale_node)

if extract_scale or extract_zeropt:
Expand Down
13 changes: 12 additions & 1 deletion src/qonnx/transformation/gemm_to_matmul.py
Original file line number Diff line number Diff line change
Expand Up @@ -76,6 +76,8 @@ def apply(self, model):
)
graph.value_info.append(inp_trans_out)
inp_trans_node = helper.make_node("Transpose", [n.input[0]], [inp_trans_out.name])
if hasattr(n, "metadata_props"):
inp_trans_node.metadata_props.extend(n.metadata_props)
graph.node.insert(running_node_index, inp_trans_node)
running_node_index += 1
dt = model.get_tensor_datatype(n.input[0])
Expand All @@ -98,6 +100,8 @@ def apply(self, model):
)
graph.value_info.append(inp_trans_out)
inp_trans_node = helper.make_node("Transpose", [n.input[1]], [inp_trans_out.name])
if hasattr(n, "metadata_props"):
inp_trans_node.metadata_props.extend(n.metadata_props)
graph.node.insert(running_node_index, inp_trans_node)
running_node_index += 1
# Copy over the datatype
Expand All @@ -109,6 +113,8 @@ def apply(self, model):

# Insert MatMul: A * B
matMul_node = helper.make_node("MatMul", [n.input[0], n.input[1]], [n.output[0]])
if hasattr(n, "metadata_props"):
matMul_node.metadata_props.extend(n.metadata_props)
graph.node.insert(running_node_index, matMul_node)
matMul_node = graph.node[running_node_index]
running_node_index += 1
Expand Down Expand Up @@ -144,6 +150,8 @@ def apply(self, model):
[act_mul_tensor.name, mul_tensor.name],
[n.output[0]],
)
if hasattr(n, "metadata_props"):
mul_node.metadata_props.extend(n.metadata_props)
graph.node.insert(running_node_index, mul_node)
mul_node_main_branch = graph.node[running_node_index]
running_node_index += 1
Expand Down Expand Up @@ -175,6 +183,8 @@ def apply(self, model):
[n.input[2], mul_tensor.name],
[act_mul_tensor.name],
)
if hasattr(n, "metadata_props"):
mul_node.metadata_props.extend(n.metadata_props)
graph.node.insert(running_node_index, mul_node)
running_node_index += 1
dt = model.get_tensor_datatype(n.input[2])
Expand All @@ -196,7 +206,8 @@ def apply(self, model):
[act_add_tensor.name, n.input[2]],
[n.output[0]],
)

if hasattr(n, "metadata_props"):
add_node.metadata_props.extend(n.metadata_props)
graph.node.insert(running_node_index, add_node)
running_node_index += 1

Expand Down