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体验新版 GitCode,发现更多精彩内容 >>
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3233b2b3
编写于
3月 18, 2018
作者:
K
Kexin Zhao
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update test
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5e36757c
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1 changed file
with
93 addition
and
76 deletion
+93
-76
python/paddle/fluid/tests/unittests/test_batch_norm_op.py
python/paddle/fluid/tests/unittests/test_batch_norm_op.py
+93
-76
未找到文件。
python/paddle/fluid/tests/unittests/test_batch_norm_op.py
浏览文件 @
3233b2b3
...
...
@@ -187,11 +187,13 @@ def set_output_grad(scope, outputs, place, feed_dict=None):
class
TestBatchNormOpInference
(
OpTest
):
def
setUp
(
self
):
self
.
dtype
=
np
.
float32
def
__assert_close
(
self
,
tensor
,
np_array
,
msg
,
atol
=
1e-4
):
self
.
assertTrue
(
np
.
allclose
(
np
.
array
(
tensor
),
np_array
,
atol
=
atol
),
msg
)
def
test_inference
(
self
):
def
test_with_place
(
place
,
data_layout
,
dtype
,
shape
):
def
check_with_place
(
place
,
data_layout
,
dtype
,
shape
):
epsilon
=
0.00001
if
len
(
shape
)
==
2
:
x_shape
=
shape
...
...
@@ -213,33 +215,32 @@ class TestBatchNormOpInference(OpTest):
mean
=
np
.
zeros
(
scale_shape
).
astype
(
dtype
)
variance
=
np
.
ones
(
scale_shape
).
astype
(
dtype
)
y_out
=
_reference_testing
(
x_val
,
scale_val
,
bias_val
,
mean
,
variance
,
epsilon
,
data_layout
).
astype
(
dtype
)
y_out
=
_reference_testing
(
x_val
,
scale_val
,
bias_val
,
mean
,
variance
,
epsilon
,
data_layout
).
astype
(
dtype
)
scope
=
core
.
Scope
()
# create input
x_tensor
=
create_or_get_tensor
(
scope
,
"x_val"
,
OpTest
.
np_dtype_to_fluid_dtype
(
x_val
),
place
)
x_tensor
=
create_or_get_tensor
(
scope
,
"x_val"
,
OpTest
.
np_dtype_to_fluid_dtype
(
x_val
),
place
)
scale_tensor
=
create_or_get_tensor
(
scope
,
"scale_val"
,
OpTest
.
np_dtype_to_fluid_dtype
(
scale_val
),
place
)
bias_tensor
=
create_or_get_tensor
(
scope
,
"bias_val"
,
OpTest
.
np_dtype_to_fluid_dtype
(
bias_val
),
place
)
mean_tensor
=
create_or_get_tensor
(
scope
,
"mean"
,
OpTest
.
np_dtype_to_fluid_dtype
(
mean
),
place
)
scope
,
"bias_val"
,
OpTest
.
np_dtype_to_fluid_dtype
(
bias_val
),
place
)
mean_tensor
=
create_or_get_tensor
(
scope
,
"mean"
,
OpTest
.
np_dtype_to_fluid_dtype
(
mean
),
place
)
variance_tensor
=
create_or_get_tensor
(
scope
,
"variance"
,
OpTest
.
np_dtype_to_fluid_dtype
(
variance
),
place
)
scope
,
"variance"
,
OpTest
.
np_dtype_to_fluid_dtype
(
variance
),
place
)
# create output
y_tensor
=
create_or_get_tensor
(
scope
,
"y_out"
,
None
,
place
)
saved_mean_tensor
=
create_or_get_tensor
(
scope
,
"saved_mean"
,
None
,
place
)
saved_variance_tensor
=
create_or_get_tensor
(
scope
,
"saved_variance"
,
None
,
place
)
saved_variance_tensor
=
create_or_get_tensor
(
scope
,
"saved_variance"
,
None
,
place
)
mean_out_tensor
=
mean_tensor
variance_out_tensor
=
variance_tensor
...
...
@@ -265,21 +266,37 @@ class TestBatchNormOpInference(OpTest):
batch_norm_op
.
run
(
scope
,
place
)
# check inference result
self
.
__assert_close
(
y_tensor
,
y_out
,
"inference output are different at "
+
str
(
place
)
+
", "
+
data_layout
+
", "
+
str
(
np
.
dtype
(
dtype
)))
self
.
__assert_close
(
y_tensor
,
y_out
,
"inference output are different at "
+
str
(
place
)
+
", "
+
data_layout
+
", "
+
str
(
np
.
dtype
(
dtype
)))
def
test_check_output
(
self
):
places
=
[
core
.
CPUPlace
()]
if
core
.
is_compiled_with_cuda
()
and
core
.
op_support_gpu
(
"batch_norm"
):
places
.
append
(
core
.
CUDAPlace
(
0
))
for
place
in
places
:
for
data_format
in
[
"NCHW"
,
"NHWC"
]:
check_with_place
(
place
,
data_format
,
self
.
dtype
,
[
2
,
3
,
4
,
5
])
check_with_place
(
place
,
data_format
,
self
.
dtype
,
[
2
,
3
])
class
TestFP16BatchNormOpInference
(
TestBatchNormOpInference
):
def
setUp
(
self
):
self
.
dtype
=
np
.
float16
def
test_check_output
(
self
):
places
=
[]
if
core
.
is_compiled_with_cuda
()
and
core
.
op_support_gpu
(
"batch_norm"
):
place
=
core
.
CUDAPlace
(
0
)
if
self
.
dtype
!=
np
.
float16
or
core
.
is_float16_supported
(
place
):
if
core
.
is_float16_supported
(
place
):
places
.
append
(
place
)
for
place
in
places
:
for
data_format
in
[
"NCHW"
,
"NHWC"
]:
for
dtype
in
[
np
.
float32
,
np
.
float16
]:
test_with_place
(
place
,
data_format
,
dtype
,
[
2
,
3
,
4
,
5
])
test_with_place
(
place
,
data_format
,
dtype
,
[
2
,
3
])
check_output_with_place
(
place
,
data_format
,
self
.
dtype
,
[
2
,
3
,
4
,
5
])
check_output_with_place
(
place
,
data_format
,
self
.
dtype
,
[
2
,
3
])
class
TestBatchNormOpTraining
(
OpTest
):
...
...
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