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[Formatting] Fix python formatting issue #6491

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Merged
masahi merged 1 commit into from
Sep 16, 2020
Merged

[Formatting] Fix python formatting issue #6491

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62 changes: 34 additions & 28 deletions tests/python/relay/test_pass_convert_op_layout.py
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Original file line number Diff line number Diff line change
Expand Up @@ -751,44 +751,50 @@ def expected():

def test_qnn_conv_nhwc_convert_layout():
def before():
x = relay.var("x", shape=(1, 64, 56, 56), dtype='int8')
weight = relay.var('weight', shape=(64, 64, 3, 3), dtype='int8')
y = relay.qnn.op.conv2d(x, weight,
relay.const(1, 'int32'),
relay.const(1, 'int32'),
relay.const(1, 'float32'),
relay.const(1, 'float32'),
channels=64,
kernel_size=(3, 3),
padding=(1, 1),
data_layout='NCHW',
kernel_layout='OIHW')
x = relay.var("x", shape=(1, 64, 56, 56), dtype="int8")
weight = relay.var("weight", shape=(64, 64, 3, 3), dtype="int8")
y = relay.qnn.op.conv2d(
x,
weight,
relay.const(1, "int32"),
relay.const(1, "int32"),
relay.const(1, "float32"),
relay.const(1, "float32"),
channels=64,
kernel_size=(3, 3),
padding=(1, 1),
data_layout="NCHW",
kernel_layout="OIHW",
)
y = relay.nn.relu(y)
y = relay.Function([x, weight], y)
return y

def expected():
x = relay.var("x", shape=(1, 64, 56, 56), dtype='int8')
weight = relay.var('weight', shape=(64, 64, 3, 3), dtype='int8')
x = relay.layout_transform(x, 'NCHW', 'NHWC')
weight = relay.layout_transform(weight, 'OIHW', 'HWIO')
y = relay.qnn.op.conv2d(x, weight,
relay.const(1, 'int32'),
relay.const(1, 'int32'),
relay.const(1, 'float32'),
relay.const(1, 'float32'),
channels=64,
kernel_size=(3, 3),
padding=(1, 1),
data_layout="NHWC",
kernel_layout="HWIO")
x = relay.var("x", shape=(1, 64, 56, 56), dtype="int8")
weight = relay.var("weight", shape=(64, 64, 3, 3), dtype="int8")
x = relay.layout_transform(x, "NCHW", "NHWC")
weight = relay.layout_transform(weight, "OIHW", "HWIO")
y = relay.qnn.op.conv2d(
x,
weight,
relay.const(1, "int32"),
relay.const(1, "int32"),
relay.const(1, "float32"),
relay.const(1, "float32"),
channels=64,
kernel_size=(3, 3),
padding=(1, 1),
data_layout="NHWC",
kernel_layout="HWIO",
)
y = relay.nn.relu(y)
y = relay.layout_transform(y, 'NHWC', 'NCHW')
y = relay.layout_transform(y, "NHWC", "NCHW")
y = relay.Function(relay.analysis.free_vars(y), y)
return y

a = before()
a = run_opt_pass(a, transform.ConvertLayout({'qnn.conv2d': ['NHWC', 'default']}))
a = run_opt_pass(a, transform.ConvertLayout({"qnn.conv2d": ["NHWC", "default"]}))
b = run_opt_pass(expected(), transform.InferType())

assert tvm.ir.structural_equal(a, b), "Actual = \n" + str(a)
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