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[FQ2I] Add attrs to adaptive_avg_pool1d #12290

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Merged
mbrookhart merged 2 commits into from
Aug 4, 2022
+7 −5
Merged

[FQ2I] Add attrs to adaptive_avg_pool1d #12290

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4a244a7
Add attrs to FQ2I adaptive_avg_pool1d
sfvaroglu Aug 3, 2022
8ec46fd
Fix failing test and add param
sfvaroglu Aug 4, 2022
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3 changes: 2 additions & 1 deletion python/tvm/relay/transform/fake_quantization_to_integer.py
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Expand Up @@ -129,7 +129,8 @@ def adaptive_avgpool1d(expr, type_map):
arg = expr.args[0]
t = type_map[arg]
arg = relay.op.cast(arg, "int32")
out = relay.op.nn.adaptive_avg_pool1d(arg)
output_size = expr.attrs.output_size
out = relay.op.nn.adaptive_avg_pool1d(arg, output_size)
out = relay.op.cast(out, t.dtype)
return [out, t]

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9 changes: 5 additions & 4 deletions tests/python/relay/test_pass_fake_quantization_to_integer.py
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Expand Up @@ -277,15 +277,16 @@ def test_fake_quantize_maxpool():
compare_fq_to_int(op, [x_np])


def test_fake_quantize_adaptive_avgpool1d():
x = relay.var("x", shape=[1, 3, 224, 224], dtype="int8")
@pytest.mark.parametrize("output_size", [None, 1])
def test_fake_quantize_adaptive_avgpool1d(output_size):
x = relay.var("x", shape=[1, 128, 768], dtype="int8")

zero = relay.const(0)
x = relay.qnn.op.dequantize(x, relay.const(2.0), zero)
op = relay.op.nn.adaptive_avg_pool1d(x)
op = relay.op.nn.adaptive_avg_pool1d(x, output_size)
op = relay.qnn.op.quantize(op, relay.const(2.0), zero)

x_np = np.random.randint(-128, 127, size=[1, 3, 224, 224], dtype="int8")
x_np = np.random.randint(-128, 127, size=[1, 128, 768], dtype="int8")

compare_fq_to_int(op, [x_np], True)

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