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support quantization of bert #36593

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Merged
merged 1 commit into from
Oct 28, 2021
+14 −3
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support quantization of bert #36593

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17 changes: 14 additions & 3 deletions python/paddle/fluid/contrib/slim/quantization/quantization_pass.py
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Original file line number Diff line number Diff line change
Expand Up @@ -272,7 +272,8 @@ class QuantizationTransformPass(object):
the quantized ops's inputs.
"""
_supported_quantizable_op_type = [
'conv2d', 'depthwise_conv2d', 'conv2d_transpose', 'mul', 'matmul'
'conv2d', 'depthwise_conv2d', 'conv2d_transpose', 'mul', 'matmul',
'matmul_v2'
]

def __init__(self,
Expand Down Expand Up @@ -520,6 +521,16 @@ def _transform_backward(graph, op):
dequant_var_node = dequantized_vars[var_node.name()]
graph.update_input_link(var_node, dequant_var_node, op)

def _has_weight(op):
has_weight = False
for var_node in op.inputs:
if var_node.name() not in op.input_arg_names():
continue
name = var_node.name()
if var_node.name() in persistable_vars:
has_weight = True
return has_weight

if not self._is_test:
self._create_global_step(graph)
ops = graph.all_op_nodes()
Expand All @@ -535,11 +546,11 @@ def _transform_backward(graph, op):
# The loop for transforming the forward graph:
for op in ops:
if op.name() in self._quantizable_ops:
if not self._is_skip_quant(graph, op):
if not self._is_skip_quant(graph, op) and _has_weight(op):
_transform_forward(graph, op)
# The loop for renaming the inputs of backward op.
for op in ops:
if op.name() in self._quantizable_grad_ops:
if op.name() in self._quantizable_grad_ops and _has_weight(op):
_transform_backward(graph, op)
graph.resolve_hazard()
return graph
Expand Down