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体验新版 GitCode,发现更多精彩内容 >>
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提交
1a13fa0f
编写于
3月 18, 2022
作者:
F
furnace
提交者:
GitHub
3月 18, 2022
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电子邮件补丁
差异文件
[NPU] fix fp16 (PART II) (#40537)
[NPU] fix fp16 (PART II)
上级
ef4ef154
变更
19
显示空白变更内容
内联
并排
Showing
19 changed file
with
255 addition
and
189 deletion
+255
-189
paddle/fluid/operators/conv_op_npu.cc
paddle/fluid/operators/conv_op_npu.cc
+1
-1
paddle/fluid/operators/pad_op_npu.cc
paddle/fluid/operators/pad_op_npu.cc
+1
-1
python/paddle/fluid/tests/unittests/npu/CMakeLists.txt
python/paddle/fluid/tests/unittests/npu/CMakeLists.txt
+1
-0
python/paddle/fluid/tests/unittests/npu/test_conv2d_op_depthwise_conv_npu.py
.../tests/unittests/npu/test_conv2d_op_depthwise_conv_npu.py
+69
-41
python/paddle/fluid/tests/unittests/npu/test_conv2d_op_npu.py
...on/paddle/fluid/tests/unittests/npu/test_conv2d_op_npu.py
+37
-26
python/paddle/fluid/tests/unittests/npu/test_elementwise_add_op_npu.py
.../fluid/tests/unittests/npu/test_elementwise_add_op_npu.py
+43
-20
python/paddle/fluid/tests/unittests/npu/test_elementwise_max_op_npu.py
.../fluid/tests/unittests/npu/test_elementwise_max_op_npu.py
+0
-12
python/paddle/fluid/tests/unittests/npu/test_elementwise_min_op_npu.py
.../fluid/tests/unittests/npu/test_elementwise_min_op_npu.py
+29
-20
python/paddle/fluid/tests/unittests/npu/test_elementwise_pow_op_npu.py
.../fluid/tests/unittests/npu/test_elementwise_pow_op_npu.py
+0
-8
python/paddle/fluid/tests/unittests/npu/test_expand_op_npu.py
...on/paddle/fluid/tests/unittests/npu/test_expand_op_npu.py
+5
-9
python/paddle/fluid/tests/unittests/npu/test_huber_loss_op_npu.py
...addle/fluid/tests/unittests/npu/test_huber_loss_op_npu.py
+0
-6
python/paddle/fluid/tests/unittests/npu/test_label_smooth_op_npu.py
...dle/fluid/tests/unittests/npu/test_label_smooth_op_npu.py
+4
-2
python/paddle/fluid/tests/unittests/npu/test_leaky_relu_op_npu.py
...addle/fluid/tests/unittests/npu/test_leaky_relu_op_npu.py
+4
-2
python/paddle/fluid/tests/unittests/npu/test_log_softmax_op_npu.py
...ddle/fluid/tests/unittests/npu/test_log_softmax_op_npu.py
+7
-3
python/paddle/fluid/tests/unittests/npu/test_lookup_table_v2_op_npu.py
.../fluid/tests/unittests/npu/test_lookup_table_v2_op_npu.py
+4
-2
python/paddle/fluid/tests/unittests/npu/test_nearest_interp_v2_op_npu.py
...luid/tests/unittests/npu/test_nearest_interp_v2_op_npu.py
+22
-3
python/paddle/fluid/tests/unittests/npu/test_pad_op_npu.py
python/paddle/fluid/tests/unittests/npu/test_pad_op_npu.py
+4
-3
python/paddle/fluid/tests/unittests/npu/test_relu_op_npu.py
python/paddle/fluid/tests/unittests/npu/test_relu_op_npu.py
+12
-25
python/paddle/fluid/tests/unittests/npu/test_slice_op_npu.py
python/paddle/fluid/tests/unittests/npu/test_slice_op_npu.py
+12
-5
未找到文件。
paddle/fluid/operators/conv_op_npu.cc
浏览文件 @
1a13fa0f
...
...
@@ -356,7 +356,7 @@ class NPUConvGradOpKernel : public framework::OpKernel<T> {
auto
stream
=
ctx
.
template
device_context
<
NPUDeviceContext
>().
stream
();
if
(
filter_grad
)
{
filter_grad
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
filter_grad
->
mutable_data
<
float
>
(
ctx
.
GetPlace
());
std
::
vector
<
int
>
filter_shape_vec
=
phi
::
vectorize
<
int
>
(
filter
->
dims
());
const
auto
&
runner
=
NpuOpRunner
(
...
...
paddle/fluid/operators/pad_op_npu.cc
浏览文件 @
1a13fa0f
...
...
@@ -90,5 +90,5 @@ namespace plat = paddle::platform;
REGISTER_OP_NPU_KERNEL
(
pad
,
ops
::
PadNPUKernel
<
plat
::
float16
>
,
ops
::
PadNPUKernel
<
float
>
,
ops
::
PadNPUKernel
<
int
>
);
REGISTER_OP_NPU_KERNEL
(
pad_grad
,
ops
::
PadNPUKernel
<
plat
::
float16
>
,
REGISTER_OP_NPU_KERNEL
(
pad_grad
,
ops
::
Pad
Grad
NPUKernel
<
plat
::
float16
>
,
ops
::
PadGradNPUKernel
<
float
>
);
python/paddle/fluid/tests/unittests/npu/CMakeLists.txt
浏览文件 @
1a13fa0f
...
...
@@ -22,4 +22,5 @@ if (WITH_ASCEND_CL)
set_tests_properties
(
test_conv2d_transpose_op_npu PROPERTIES TIMEOUT 200
)
set_tests_properties
(
test_conv2d_op_npu PROPERTIES TIMEOUT 300
)
set_tests_properties
(
test_matmulv2_op_npu PROPERTIES TIMEOUT 300
)
set_tests_properties
(
test_elementwise_add_op_npu PROPERTIES TIMEOUT 200
)
endif
()
python/paddle/fluid/tests/unittests/npu/test_conv2d_op_depthwise_conv_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -132,9 +132,13 @@ class TestDepthwiseConvNPU(OpTest):
self
.
check_output_with_place
(
self
.
place
,
atol
=
1e-2
)
def
test_check_grad
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
if
self
.
dilations
[
0
]
==
1
and
self
.
dilations
[
1
]
==
1
:
if
self
.
dtype
==
np
.
float16
:
self
.
check_grad_with_place
(
self
.
place
,
{
'Input'
,
'Filter'
},
'Output'
,
max_relative_error
=
0.9
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
{
'Input'
,
'Filter'
},
'Output'
,
...
...
@@ -143,7 +147,12 @@ class TestDepthwiseConvNPU(OpTest):
def
test_check_grad_no_filter
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'Input'
],
'Output'
,
no_grad_set
=
set
([
'Filter'
]),
max_relative_error
=
0.9
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'Input'
],
'Output'
,
...
...
@@ -152,9 +161,14 @@ class TestDepthwiseConvNPU(OpTest):
numeric_place
=
paddle
.
CPUPlace
())
def
test_check_grad_no_input
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
if
self
.
dilations
[
0
]
==
1
and
self
.
dilations
[
1
]
==
1
:
if
self
.
dtype
==
np
.
float16
:
self
.
check_grad_with_place
(
self
.
place
,
[
'Filter'
],
'Output'
,
no_grad_set
=
set
([
'Input'
]),
max_relative_error
=
0.9
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'Filter'
],
'Output'
,
...
...
@@ -267,7 +281,11 @@ class TestDepthwiseConvNPU_Padding(OpTest):
def
test_check_grad
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
{
'Input'
,
'Filter'
},
'Output'
,
max_relative_error
=
1.2
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
{
'Input'
,
'Filter'
},
'Output'
,
...
...
@@ -276,7 +294,12 @@ class TestDepthwiseConvNPU_Padding(OpTest):
def
test_check_grad_no_filter
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'Input'
],
'Output'
,
max_relative_error
=
0.7
,
no_grad_set
=
set
([
'Filter'
]))
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'Input'
],
'Output'
,
...
...
@@ -286,7 +309,12 @@ class TestDepthwiseConvNPU_Padding(OpTest):
def
test_check_grad_no_input
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'Filter'
],
'Output'
,
max_relative_error
=
0.8
,
no_grad_set
=
set
([
'Input'
]))
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'Filter'
],
'Output'
,
...
...
python/paddle/fluid/tests/unittests/npu/test_conv2d_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -127,8 +127,6 @@ class TestConv2DOp(OpTest):
self
.
check_output_with_place
(
fluid
.
NPUPlace
(
0
),
atol
=
1e-2
)
def
test_check_grad
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
fluid
.
NPUPlace
(
0
),
{
'Input'
,
'Filter'
},
'Output'
,
...
...
@@ -136,8 +134,6 @@ class TestConv2DOp(OpTest):
numeric_place
=
paddle
.
CPUPlace
())
def
test_check_grad_no_filter
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
fluid
.
NPUPlace
(
0
),
[
'Input'
],
'Output'
,
...
...
@@ -146,8 +142,6 @@ class TestConv2DOp(OpTest):
numeric_place
=
paddle
.
CPUPlace
())
def
test_check_grad_no_input
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
fluid
.
NPUPlace
(
0
),
[
'Filter'
],
'Output'
,
...
...
@@ -276,10 +270,13 @@ class TestConv2DOp_v2(OpTest):
def
set_npu
(
self
):
self
.
__class__
.
use_npu
=
True
def
init_dtype
(
self
):
self
.
dtype
=
np
.
float32
def
setUp
(
self
):
self
.
set_npu
()
self
.
op_type
=
"conv2d"
self
.
dtype
=
np
.
float32
self
.
init_dtype
()
self
.
init_kernel_type
()
self
.
init_group
()
self
.
init_dilation
()
...
...
@@ -320,7 +317,11 @@ class TestConv2DOp_v2(OpTest):
def
test_check_grad
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
paddle
.
NPUPlace
(
0
),
{
'Input'
,
'Filter'
},
'Output'
,
max_relative_error
=
1.1
)
else
:
self
.
check_grad_with_place
(
paddle
.
NPUPlace
(
0
),
{
'Input'
,
'Filter'
},
'Output'
,
...
...
@@ -329,7 +330,12 @@ class TestConv2DOp_v2(OpTest):
def
test_check_grad_no_filter
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
paddle
.
NPUPlace
(
0
),
[
'Input'
],
'Output'
,
max_relative_error
=
0.99
,
no_grad_set
=
set
([
'Filter'
]))
else
:
self
.
check_grad_with_place
(
paddle
.
NPUPlace
(
0
),
[
'Input'
],
'Output'
,
...
...
@@ -339,7 +345,12 @@ class TestConv2DOp_v2(OpTest):
def
test_check_grad_no_input
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
paddle
.
NPUPlace
(
0
),
[
'Filter'
],
'Output'
,
max_relative_error
=
0.99
,
no_grad_set
=
set
([
'Input'
]))
else
:
self
.
check_grad_with_place
(
paddle
.
NPUPlace
(
0
),
[
'Filter'
],
'Output'
,
...
...
python/paddle/fluid/tests/unittests/npu/test_elementwise_add_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -65,9 +65,16 @@ class TestElementwiseAddOp(OpTest):
self
.
check_output_with_place
(
self
.
place
)
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
or
self
.
dtype
==
np
.
int64
:
if
self
.
dtype
==
np
.
int64
:
return
if
self
.
dtype
==
np
.
float16
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
'Out'
,
max_relative_error
=
0.15
,
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
...
...
@@ -75,9 +82,17 @@ class TestElementwiseAddOp(OpTest):
max_relative_error
=
0.006
,
)
def
test_check_grad_ingore_x
(
self
):
if
self
.
dtype
==
np
.
float16
or
self
.
dtype
==
np
.
int64
:
if
self
.
dtype
==
np
.
int64
:
return
if
self
.
dtype
==
np
.
float16
:
self
.
check_grad_with_place
(
self
.
place
,
[
'Y'
],
'Out'
,
no_grad_set
=
set
(
"X"
),
max_relative_error
=
0.92
,
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'Y'
],
...
...
@@ -86,9 +101,17 @@ class TestElementwiseAddOp(OpTest):
max_relative_error
=
0.006
,
)
def
test_check_grad_ingore_y
(
self
):
if
self
.
dtype
==
np
.
float16
or
self
.
dtype
==
np
.
int64
:
if
self
.
dtype
==
np
.
int64
:
return
if
self
.
dtype
==
np
.
float16
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
,
no_grad_set
=
set
(
"Y"
),
max_relative_error
=
0.8
,
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
...
...
python/paddle/fluid/tests/unittests/npu/test_elementwise_max_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -116,19 +116,13 @@ class TestElementwiseMaxOp(OpTest):
self
.
check_output_with_place
(
self
.
place
)
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
'Out'
)
def
test_check_grad_ingore_x
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'Y'
],
'Out'
,
no_grad_set
=
set
(
"X"
))
def
test_check_grad_ingore_y
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
,
no_grad_set
=
set
(
"Y"
))
...
...
@@ -213,15 +207,11 @@ class TestElementwiseMaxOp_broadcast_2(TestElementwiseMaxOp):
self
.
out
=
np
.
maximum
(
self
.
x
,
self
.
y
.
reshape
(
1
,
1
,
100
))
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
dx
,
dy
=
ComputeGrad
(
self
.
x
,
self
.
y
,
self
.
out
,
self
.
axis
)
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
'Out'
,
user_defined_grads
=
[
dx
,
dy
])
def
test_check_grad_ingore_x
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
_
,
dy
=
ComputeGrad
(
self
.
x
,
self
.
y
,
self
.
out
,
self
.
axis
)
self
.
check_grad_with_place
(
self
.
place
,
[
'Y'
],
...
...
@@ -230,8 +220,6 @@ class TestElementwiseMaxOp_broadcast_2(TestElementwiseMaxOp):
user_defined_grads
=
[
dy
])
def
test_check_grad_ingore_y
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
dx
,
_
=
ComputeGrad
(
self
.
x
,
self
.
y
,
self
.
out
,
self
.
axis
)
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
...
...
python/paddle/fluid/tests/unittests/npu/test_elementwise_min_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -64,8 +64,9 @@ class TestElementwiseMinOp(OpTest):
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
'Out'
,
max_relative_error
=
0.5
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
...
...
@@ -73,8 +74,12 @@ class TestElementwiseMinOp(OpTest):
def
test_check_grad_ingore_x
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'Y'
],
'Out'
,
no_grad_set
=
set
(
"X"
),
max_relative_error
=
0.9
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'Y'
],
...
...
@@ -83,8 +88,12 @@ class TestElementwiseMinOp(OpTest):
def
test_check_grad_ingore_y
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
,
no_grad_set
=
set
(
"Y"
),
max_relative_error
=
0.1
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
...
...
python/paddle/fluid/tests/unittests/npu/test_elementwise_pow_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -114,8 +114,6 @@ class TestElementwisePow(OpTest):
self
.
out
=
np
.
power
(
self
.
x
,
self
.
y
)
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
dx
,
dy
=
ComputeGrad
(
self
.
x
,
self
.
y
,
self
.
out
,
self
.
axis
)
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
'Out'
,
user_defined_grads
=
[
dx
,
dy
])
...
...
@@ -184,8 +182,6 @@ class TestElementwisePowOp_broadcast_0(TestElementwisePow):
self
.
out
=
np
.
power
(
self
.
x
,
self
.
y
)
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
dx
,
dy
=
ComputeGrad
(
self
.
x
,
self
.
y
,
self
.
out
,
self
.
axis
)
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
'Out'
,
user_defined_grads
=
[
dx
,
dy
])
...
...
@@ -218,8 +214,6 @@ class TestElementwisePowOp_broadcast_1(TestElementwisePow):
self
.
out
=
np
.
power
(
self
.
x
,
self
.
y
.
reshape
(
1
,
100
,
1
))
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
dx
,
dy
=
ComputeGrad
(
self
.
x
,
self
.
y
,
self
.
out
,
self
.
axis
)
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
'Out'
,
user_defined_grads
=
[
dx
,
dy
])
...
...
@@ -252,8 +246,6 @@ class TestElementwisePowOp_broadcast_2(TestElementwisePow):
self
.
out
=
np
.
power
(
self
.
x
,
self
.
y
.
reshape
(
100
,
1
,
1
))
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
dx
,
dy
=
ComputeGrad
(
self
.
x
,
self
.
y
,
self
.
out
,
self
.
axis
)
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
'Out'
,
user_defined_grads
=
[
dx
,
dy
])
...
...
python/paddle/fluid/tests/unittests/npu/test_expand_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -34,7 +34,7 @@ class TestExpand(OpTest):
self
.
init_dtype
()
np
.
random
.
seed
(
SEED
)
x
=
np
.
random
.
randn
(
3
,
1
,
7
).
astype
(
self
.
dtype
)
x
=
np
.
random
.
randn
(
3
0
,
1
,
7
).
astype
(
self
.
dtype
)
out
=
np
.
tile
(
x
,
[
1
,
10
,
1
])
self
.
inputs
=
{
'X'
:
OpTest
.
np_dtype_to_fluid_dtype
(
x
)}
...
...
@@ -50,12 +50,8 @@ class TestExpand(OpTest):
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
)
# TODO(ascendrc): Add grad test
# def test_check_grad(self):
# if self.dtype == np.float16:
# return
# self.check_grad(['X'], 'Out')
#
def
test_check_grad
(
self
):
self
.
check_grad
([
'X'
],
'Out'
)
class
TestExpandV2
(
TestExpand
):
...
...
@@ -66,7 +62,7 @@ class TestExpandV2(TestExpand):
self
.
init_dtype
()
np
.
random
.
seed
(
SEED
)
x
=
np
.
random
.
randn
(
3
,
1
,
7
).
astype
(
self
.
dtype
)
x
=
np
.
random
.
randn
(
3
0
,
1
,
7
).
astype
(
self
.
dtype
)
out
=
np
.
tile
(
x
,
[
1
,
10
,
1
])
expand_times
=
np
.
array
([
1
,
10
,
1
]).
astype
(
np
.
int32
)
...
...
@@ -145,7 +141,7 @@ class TestExpand_expand_times_all_one(TestExpand):
self
.
init_dtype
()
np
.
random
.
seed
(
SEED
)
x
=
np
.
random
.
randn
(
3
,
1
,
7
).
astype
(
self
.
dtype
)
x
=
np
.
random
.
randn
(
3
0
,
1
,
7
).
astype
(
self
.
dtype
)
out
=
np
.
tile
(
x
,
[
1
,
1
,
1
])
self
.
inputs
=
{
'X'
:
OpTest
.
np_dtype_to_fluid_dtype
(
x
)}
...
...
python/paddle/fluid/tests/unittests/npu/test_huber_loss_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -81,13 +81,9 @@ class TestHuberLossOp(OpTest):
self
.
check_output_with_place
(
self
.
place
)
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
'Out'
)
def
test_check_grad_ingore_x
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'Y'
],
'Out'
,
...
...
@@ -95,8 +91,6 @@ class TestHuberLossOp(OpTest):
no_grad_set
=
set
(
"residual"
))
def
test_check_grad_ingore_y
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
,
...
...
python/paddle/fluid/tests/unittests/npu/test_label_smooth_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -78,7 +78,9 @@ class TestLabelSmoothOp(OpTest):
def
test_check_grad
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
,
max_relative_error
=
0.5
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
)
...
...
python/paddle/fluid/tests/unittests/npu/test_leaky_relu_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -63,7 +63,9 @@ class TestLeadyRelu(OpTest):
def
test_check_grad
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
,
max_relative_error
=
0.006
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
)
...
...
python/paddle/fluid/tests/unittests/npu/test_log_softmax_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -63,7 +63,11 @@ class TestLogSoftmaxNPUOp(OpTest):
def
test_check_grad
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
[
'Out'
],
user_defined_grads
=
[
self
.
x_grad
],
max_relative_error
=
0.02
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
[
'Out'
],
user_defined_grads
=
[
self
.
x_grad
])
...
...
python/paddle/fluid/tests/unittests/npu/test_lookup_table_v2_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -77,7 +77,9 @@ class TestLookupTableV2(OpTest):
def
test_check_grad
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'W'
],
'Out'
,
max_relative_error
=
0.01
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'W'
],
'Out'
)
...
...
python/paddle/fluid/tests/unittests/npu/test_nearest_interp_v2_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -39,10 +39,11 @@ class TestNearestInterpOp(OpTest):
self
.
set_npu
()
self
.
out_size
=
None
self
.
actual_shape
=
None
self
.
init_dtype
()
self
.
data_layout
=
'NCHW'
self
.
init_test_case
()
self
.
op_type
=
"nearest_interp_v2"
input_np
=
np
.
random
.
random
(
self
.
input_shape
).
astype
(
"float32"
)
input_np
=
np
.
random
.
random
(
self
.
input_shape
).
astype
(
self
.
dtype
)
if
self
.
data_layout
==
"NCHW"
:
in_h
=
self
.
input_shape
[
2
]
...
...
@@ -95,8 +96,21 @@ class TestNearestInterpOp(OpTest):
self
.
check_output_with_place
(
self
.
place
)
def
test_check_grad
(
self
):
if
self
.
dtype
==
np
.
float16
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
,
in_place
=
True
,
max_relative_error
=
0.02
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
,
in_place
=
True
,
max_relative_error
=
0.006
)
self
.
place
,
[
'X'
],
'Out'
,
in_place
=
True
,
max_relative_error
=
0.006
)
def
init_dtype
(
self
):
self
.
dtype
=
np
.
float32
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
...
...
@@ -108,6 +122,11 @@ class TestNearestInterpOp(OpTest):
self
.
align_corners
=
False
class
TestNearestNeighborInterpFP16
(
TestNearestInterpOp
):
def
init_dtype
(
self
):
self
.
dtype
=
np
.
float16
class
TestNearestNeighborInterpCase1
(
TestNearestInterpOp
):
def
init_test_case
(
self
):
self
.
interp_method
=
'nearest'
...
...
python/paddle/fluid/tests/unittests/npu/test_pad_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -50,8 +50,9 @@ class TestPadOp(OpTest):
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
,
max_relative_error
=
0.6
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
)
def
set_npu
(
self
):
...
...
python/paddle/fluid/tests/unittests/npu/test_relu_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -34,11 +34,12 @@ class TestRelu(OpTest):
self
.
init_dtype
()
np
.
random
.
seed
(
SEED
)
x
=
np
.
random
.
rand
(
3
,
2
).
astype
(
self
.
dtype
)
out
=
x
self
.
inputs
=
{
'X'
:
OpTest
.
np_dtype_to_fluid_dtype
(
x
)}
self
.
attrs
=
{}
x
=
np
.
random
.
uniform
(
-
1
,
1
,
[
11
,
17
]).
astype
(
self
.
dtype
)
# The same reason with TestAbs
x
[
np
.
abs
(
x
)
<
0.005
]
=
0.02
out
=
np
.
maximum
(
x
,
0
)
self
.
inputs
=
{
'X'
:
x
}
self
.
outputs
=
{
'Out'
:
out
}
def
set_npu
(
self
):
...
...
@@ -50,32 +51,18 @@ class TestRelu(OpTest):
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
)
def
test_check_grad
(
self
):
if
self
.
dtype
==
np
.
float16
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
,
max_relative_error
=
0.006
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
],
'Out'
)
class
TestReluFp16
(
OpTest
):
def
setUp
(
self
):
self
.
set_npu
()
self
.
op_type
=
"relu"
self
.
place
=
paddle
.
NPUPlace
(
0
)
self
.
init_dtype
()
np
.
random
.
seed
(
SEED
)
x
=
np
.
random
.
rand
(
3
,
2
).
astype
(
self
.
dtype
)
out
=
x
self
.
inputs
=
{
'X'
:
OpTest
.
np_dtype_to_fluid_dtype
(
x
)}
self
.
attrs
=
{}
self
.
outputs
=
{
'Out'
:
out
}
def
set_npu
(
self
):
self
.
__class__
.
use_npu
=
True
self
.
__class__
.
no_need_check_grad
=
True
class
TestReluFp16
(
TestRelu
):
def
init_dtype
(
self
):
self
.
dtype
=
np
.
float16
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
,
atol
=
1e-5
)
class
TestReluNeg
(
OpTest
):
def
setUp
(
self
):
...
...
python/paddle/fluid/tests/unittests/npu/test_slice_op_npu.py
浏览文件 @
1a13fa0f
...
...
@@ -58,11 +58,16 @@ class TestSliceOp(OpTest):
self
.
place
=
paddle
.
NPUPlace
(
0
)
def
test_check_output
(
self
):
if
self
.
dtype
==
np
.
float16
:
self
.
check_output_with_place
(
self
.
place
)
else
:
self
.
check_output_with_place
(
self
.
place
)
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'Input'
],
'Out'
,
max_relative_error
=
0.02
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'Input'
],
'Out'
)
...
...
@@ -347,7 +352,9 @@ class TestSliceOpDecsDim(OpTest):
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad_with_place
(
self
.
place
,
[
'Input'
],
'Out'
,
max_relative_error
=
0.5
)
else
:
self
.
check_grad_with_place
(
self
.
place
,
[
'Input'
],
'Out'
)
...
...
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