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体验新版 GitCode,发现更多精彩内容 >>
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62c05369
编写于
9月 23, 2022
作者:
Z
zyfncg
提交者:
GitHub
9月 23, 2022
浏览文件
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电子邮件补丁
差异文件
clear extra attrs of quantize op in opmaker (#46418)
上级
5e878ecc
变更
3
显示空白变更内容
内联
并排
Showing
3 changed file
with
36 addition
and
94 deletion
+36
-94
paddle/fluid/operators/fake_quantize_op.cc
paddle/fluid/operators/fake_quantize_op.cc
+0
-90
paddle/fluid/operators/quantize_linear_op.cc
paddle/fluid/operators/quantize_linear_op.cc
+0
-4
paddle/phi/api/yaml/op_compat.yaml
paddle/phi/api/yaml/op_compat.yaml
+36
-0
未找到文件。
paddle/fluid/operators/fake_quantize_op.cc
浏览文件 @
62c05369
...
...
@@ -432,24 +432,6 @@ class FakeQuantOrWithDequantAbsMaxOpMaker
"the received is %d"
,
bit_length
));
});
AddAttr
<
int
>
(
"round_type"
,
"(int, default 1) The round type of fp32 to int."
"0: rounding to nearest ties to even. Eg: round(1.5)=2, round(2.5)=2"
"1: rounding to nearest ties away from zero. Eg: round(1.5)=2, "
"round(2.5)=3"
)
.
SetDefault
(
1
)
.
AddCustomChecker
([](
const
int
&
round_type
)
{
PADDLE_ENFORCE_EQ
(
round_type
==
0
||
round_type
==
1
,
true
,
platform
::
errors
::
InvalidArgument
(
"'round_type' should be 0 or 1, 0 rounding to "
"nearest ties to even and 1 is rounding to nearest "
"ties away from zero.but the received is %d"
,
round_type
));
})
.
AsExtra
();
AddComment
(
R"DOC(
This is a Base Op which supports FakeQuantAbsMaxOpMaker and FakeQuantDequantAbsMaxOpMaker.
FakeQuantAbsMaxOp operator is used in the dynamic quantization.
...
...
@@ -529,24 +511,6 @@ class FakeChannelWiseQuantizeAbsMaxOpMaker
"the received is %d"
,
bit_length
));
});
AddAttr
<
int
>
(
"round_type"
,
"(int, default 1) The round type of fp32 to int."
"0: rounding to nearest ties to even. Eg: round(1.5)=2, round(2.5)=2"
"1: rounding to nearest ties away from zero. Eg: round(1.5)=2, "
"round(2.5)=3"
)
.
SetDefault
(
1
)
.
AddCustomChecker
([](
const
int
&
round_type
)
{
PADDLE_ENFORCE_EQ
(
round_type
==
0
||
round_type
==
1
,
true
,
platform
::
errors
::
InvalidArgument
(
"'round_type' should be 0 or 1, 0 rounding to "
"nearest ties to even and 1 is rounding to nearest "
"ties away from zero.but the received is %d"
,
round_type
));
})
.
AsExtra
();
AddAttr
<
bool
>
(
"is_test"
,
"(bool, default false) Set to true for inference only, false "
"for training. Some layers may run faster when this is true."
)
...
...
@@ -628,24 +592,6 @@ class FakeChannelWiseQuantizeDequantizeAbsMaxOpMaker
"the received is %d"
,
bit_length
));
});
AddAttr
<
int
>
(
"round_type"
,
"(int, default 1) The round type of fp32 to int."
"0: rounding to nearest ties to even. Eg: round(1.5)=2, round(2.5)=2"
"1: rounding to nearest ties away from zero. Eg: round(1.5)=2, "
"round(2.5)=3"
)
.
SetDefault
(
1
)
.
AddCustomChecker
([](
const
int
&
round_type
)
{
PADDLE_ENFORCE_EQ
(
round_type
==
0
||
round_type
==
1
,
true
,
platform
::
errors
::
InvalidArgument
(
"'round_type' should be 0 or 1, 0 rounding to "
"nearest ties to even and 1 is rounding to nearest "
"ties away from zero.but the received is %d"
,
round_type
));
})
.
AsExtra
();
AddComment
(
R"DOC(
The scale of FakeChannelWiseQuantize operator is a vector.
In detail, each channel of the input X has a scale value.
...
...
@@ -715,24 +661,6 @@ class FakeQuantizeRangeAbsMaxOpMaker
"the received is %d"
,
bit_length
));
});
AddAttr
<
int
>
(
"round_type"
,
"(int, default 1) The round type of fp32 to int."
"0: rounding to nearest ties to even. Eg: round(1.5)=2, round(2.5)=2"
"1: rounding to nearest ties away from zero. Eg: round(1.5)=2, "
"round(2.5)=3"
)
.
SetDefault
(
1
)
.
AddCustomChecker
([](
const
int
&
round_type
)
{
PADDLE_ENFORCE_EQ
(
round_type
==
0
||
round_type
==
1
,
true
,
platform
::
errors
::
InvalidArgument
(
"'round_type' should be 0 or 1, 0 rounding to "
"nearest ties to even and 1 is rounding to nearest "
"ties away from zero.but the received is %d"
,
round_type
));
})
.
AsExtra
();
AddAttr
<
bool
>
(
"is_test"
,
"(bool, default false) Set to true for inference only, false "
"for training. Some layers may run faster when this is true."
)
...
...
@@ -815,24 +743,6 @@ class FakeQuantOrWithDequantMovingAverageAbsMaxOpMaker
"the received is %d"
,
bit_length
));
});
AddAttr
<
int
>
(
"round_type"
,
"(int, default 1) The round type of fp32 to int."
"0: rounding to nearest ties to even. Eg: round(1.5)=2, round(2.5)=2"
"1: rounding to nearest ties away from zero. Eg: round(1.5)=2, "
"round(2.5)=3"
)
.
SetDefault
(
1
)
.
AddCustomChecker
([](
const
int
&
round_type
)
{
PADDLE_ENFORCE_EQ
(
round_type
==
0
||
round_type
==
1
,
true
,
platform
::
errors
::
InvalidArgument
(
"'round_type' should be 0 or 1, 0 rounding to "
"nearest ties to even and 1 is rounding to nearest "
"ties away from zero.but the received is %d"
,
round_type
));
})
.
AsExtra
();
AddAttr
<
bool
>
(
"is_test"
,
"(bool, default false) Set to true for inference only, false "
"for training. Some layers may run faster when this is true."
)
...
...
paddle/fluid/operators/quantize_linear_op.cc
浏览文件 @
62c05369
...
...
@@ -134,10 +134,6 @@ class QuantizeLinearOpMaker : public framework::OpProtoAndCheckerMaker {
AddOutput
(
"OutScale"
,
"(Tensor) Current scale"
)
.
AsDispensable
()
.
AsExtra
();
// only qat use
AddAttr
<
float
>
(
"moving_rate"
,
"(float, default 0.9) moving rate."
)
// only qat use
.
SetDefault
(
0.9
)
.
AsExtra
();
AddAttr
<
int
>
(
"quant_axis"
,
"(int, default 0) The axis for quantization. "
"For conv2d, depthwise_conv2d, conv2d_transpose "
...
...
paddle/phi/api/yaml/op_compat.yaml
浏览文件 @
62c05369
...
...
@@ -179,6 +179,10 @@
str fuse_activation = ""
,
float fuse_alpha = 0.0f
,
float fuse_beta = 0.0f
,
int workspace_size_MB = platform
::
GetDefaultConvWorkspaceSizeLimitMB()
]
-
op
:
dequantize_linear
extra
:
attrs
:
[
float moving_rate = 0.9
]
-
op
:
diag (diag_v2)
backward
:
diag_grad (diag_v2_grad)
inputs
:
...
...
@@ -271,6 +275,34 @@
extra
:
attrs
:
[
bool use_mkldnn = false
,
bool use_cudnn = false
]
-
op
:
fake_channel_wise_quantize_abs_max
extra
:
attrs
:
[
int round_type = 1
]
-
op
:
fake_channel_wise_quantize_dequantize_abs_max
extra
:
attrs
:
[
int round_type = 1
]
-
op
:
fake_quantize_abs_max
extra
:
attrs
:
[
int round_type = 1
]
-
op
:
fake_quantize_dequantize_abs_max
extra
:
attrs
:
[
int round_type = 1
]
-
op
:
fake_quantize_dequantize_moving_average_abs_max
extra
:
attrs
:
[
int round_type = 1
]
-
op
:
fake_quantize_moving_average_abs_max
extra
:
attrs
:
[
int round_type = 1
]
-
op
:
fake_quantize_range_abs_max
extra
:
attrs
:
[
int round_type = 1
]
-
op
:
fft_c2c
inputs
:
{
x
:
X
}
outputs
:
{
out
:
Out
}
...
...
@@ -495,6 +527,10 @@
extra
:
attrs
:
[
bool use_mkldnn = false
,
str mkldnn_data_type = "float32"
,
bool is_test = false
]
-
op
:
quantize_linear
extra
:
attrs
:
[
float moving_rate = 0.9
]
-
op
:
reciprocal
backward
:
reciprocal_grad
extra
:
...
...
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