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Qualcomm AI Engine Direct - Testing fix #20478

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Qualcomm AI Engine Direct - Testing fix #20478

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37 changes: 20 additions & 17 deletions backends/qualcomm/quantizer/quantizer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -462,26 +462,29 @@ def _replace_inf(self, graph_module: GraphModule) -> GraphModule:
node.args = tuple(arg_list)
elif node.op == "get_attr":
constant_tensor = attrgetter(node.target)(graph_module)
if (
if not (
torch.is_tensor(constant_tensor)
and constant_tensor.is_floating_point()
and torch.isinf(constant_tensor).any()
):
# Anything smaller than float16.min, which covers float32.min and float(-inf)
min_value = torch.finfo(torch.float16).min
# Anything larger than float16.max, which covers float32.max and float(inf)
max_value = torch.finfo(torch.float16).max

quant_min, quant_max = float("inf"), float("-inf")
for source_node in node.users:
if quant_range := self._get_quant_range(source_node):
quant_min = min(quant_min, -quant_range)
quant_max = max(quant_max, quant_range)

if quant_min != float("inf") and quant_max != float("-inf"):
# Inplace update
with torch.no_grad():
constant_tensor[constant_tensor <= min_value] = quant_min
constant_tensor[constant_tensor >= max_value] = quant_max
continue

# Anything smaller than float16.min, which covers float32.min and float(-inf)
min_value = torch.finfo(torch.float16).min
# Anything larger than float16.max, which covers float32.max and float(inf)
max_value = torch.finfo(torch.float16).max

quant_min, quant_max = float("inf"), float("-inf")
for source_node in node.users:
if quant_range := self._get_quant_range(source_node):
quant_min = min(quant_min, -quant_range)
quant_max = max(quant_max, quant_range)

if quant_min != float("inf") and quant_max != float("-inf"):
# Inplace update
with torch.no_grad():
constant_tensor[constant_tensor <= min_value] = quant_min
constant_tensor[constant_tensor >= max_value] = quant_max

graph_module.recompile()

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