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b3b05186
编写于
6月 22, 2020
作者:
H
hiranoaya
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
update matmul tiling && bert testcase
上级
e53d6452
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
69 addition
and
4 deletion
+69
-4
tests/common/test_op/matmul.py
tests/common/test_op/matmul.py
+46
-4
tests/operators/cube/test_matmul_001.py
tests/operators/cube/test_matmul_001.py
+23
-0
未找到文件。
tests/common/test_op/matmul.py
浏览文件 @
b3b05186
...
...
@@ -29,7 +29,49 @@ matmul_set_dim_map = {
str
(((
1
,
16
,
49
,
16
,
16
),
(
1
,
49
,
49
,
16
,
16
),
0
,
'zZ'
,
'zZ'
,
'zZ'
,
False
,
False
,
'float16'
,
'float32'
))
:
([(
1
,
1
),(
2
,
2
),(
16
,
16
),(
16
,
16
),(
49
,
49
)],
{
"bypass"
:
0
}),
str
(((
1
,
16
,
49
,
16
,
16
),
(
1
,
49
,
16
,
16
,
16
),
0
,
'zZ'
,
'zZ'
,
'zZ'
,
False
,
False
,
'float16'
,
'float32'
))
:
([(
2
,
2
),(
2
,
2
),(
16
,
16
),(
16
,
16
),(
49
,
49
)],
{
"bypass"
:
0
}),
str
(((
1
,
2
,
64
,
16
,
16
),
(
1
,
2
,
64
,
16
,
16
),
0
,
'zZ'
,
'zZ'
,
'zZ'
,
True
,
False
,
'float16'
,
'float32'
))
:
([(
2
,
2
),(
64
,
64
),(
16
,
16
),(
16
,
16
),(
2
,
2
)],
{
"bypass"
:
0
}),
str
(((
1
,
2
,
128
,
16
,
16
),
(
1
,
2
,
128
,
16
,
16
),
0
,
'zZ'
,
'zZ'
,
'zZ'
,
True
,
False
,
'float16'
,
'float32'
))
:
([(
2
,
2
),(
64
,
64
),(
16
,
16
),(
16
,
16
),(
2
,
2
)],
{
"bypass"
:
0
})
str
(((
1
,
2
,
128
,
16
,
16
),
(
1
,
2
,
128
,
16
,
16
),
0
,
'zZ'
,
'zZ'
,
'zZ'
,
True
,
False
,
'float16'
,
'float32'
))
:
([(
2
,
2
),(
64
,
64
),(
16
,
16
),(
16
,
16
),(
2
,
2
)],
{
"bypass"
:
0
}),
# bert best tile
# (16, 1024), (16, 1024)
str
(((
1
,
64
,
1
,
16
,
16
),
(
1
,
64
,
1
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float16"
))
:
([(
16
,
16
),(
16
,
16
),(
32
,
32
)],
{
"bypass"
:
2
}),
# (8192, 4096), (8192, 1024)
str
(((
1
,
256
,
512
,
16
,
16
),
(
1
,
64
,
512
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float32"
))
:
([(
8
,
8
),(
16
,
16
),(
16
,
16
),(
16
,
16
),(
8
,
1
)],
{
"bypass"
:
0
}),
# (8192, 1024), (1024, 4096)
str
(((
1
,
64
,
512
,
16
,
16
),
(
1
,
256
,
64
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float16"
))
:
([(
16
,
16
),(
8
,
4
),(
16
,
16
),(
16
,
16
),(
64
,
8
)],
{
"bypass"
:
0
}),
# (16, 16), (16, 1024)
str
(((
1
,
1
,
1
,
16
,
16
),
(
1
,
64
,
1
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float32"
))
:
([(
8
,
8
),(
16
,
16
),(
16
,
16
),(
16
,
16
)],
{
"bypass"
:
0
}),
# (1216, 1024), (1024, 1024)
str
(((
1
,
64
,
76
,
16
,
16
),
(
1
,
64
,
64
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float32"
))
:
([(
4
,
4
),(
19
,
19
),(
16
,
16
),(
16
,
16
),(
4
,
1
)],
{
"bypass"
:
0
}),
# (8192, 4096), (4096, 1024)
str
(((
1
,
256
,
512
,
16
,
16
),
(
1
,
64
,
256
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float16"
))
:
([(
8
,
8
),(
32
,
32
),(
16
,
16
),(
16
,
16
),(
2
,
1
)],
{
"bypass"
:
0
}),
# (8192, 1024), (4096, 1024)
str
(((
1
,
64
,
512
,
16
,
16
),
(
1
,
64
,
256
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float16"
))
:
([(
8
,
8
),(
32
,
32
),(
16
,
16
),(
16
,
16
),(
2
,
1
)],
{
"bypass"
:
0
}),
# (8192, 1024), (8192, 4096)
str
(((
1
,
64
,
512
,
16
,
16
),
(
1
,
256
,
512
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float16"
))
:
([[
8
,
8
],
[
32
,
32
],
[
16
,
16
],
[
16
,
16
],
[
16
,
2
]],
{
"bypass"
:
0
}),
# (1216, 1024), (1024, 1024)
str
(((
1
,
64
,
76
,
16
,
16
),
(
1
,
64
,
64
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float16"
))
:
([(
8
,
8
),(
19
,
19
),(
16
,
16
),(
16
,
16
),(
16
,
1
)],
{
"bypass"
:
2
}),
# (8192, 1024), (1024, 1024)
str
(((
1
,
64
,
512
,
16
,
16
),
(
1
,
64
,
64
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float16"
))
:
([(
16
,
4
),(
16
,
8
),(
16
,
16
),(
16
,
16
),(
64
,
16
)],
{
"bypass"
:
0
}),
# (1216, 30522), (30522, 1024)
str
(((
1
,
1908
,
76
,
16
,
16
),
(
1
,
64
,
1908
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float16"
))
:
([(
8
,
8
),(
19
,
19
),(
16
,
16
),(
16
,
16
),(
6
,
1
)],
{
"bypass"
:
0
}),
# (1216, 30522), (1216, 1024)
str
(((
1
,
1908
,
76
,
16
,
16
),
(
1
,
64
,
76
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float32"
))
:
([(
4
,
4
),(
18
,
18
),(
16
,
16
),(
16
,
16
),(
2
,
2
)],
{
"bypass"
:
0
}),
# (1216, 1024), (30522, 1024)
str
(((
1
,
64
,
76
,
16
,
16
),
(
1
,
64
,
1908
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float32"
))
:
([(
9
,
9
),(
19
,
19
),(
16
,
16
),(
16
,
16
),(
64
,
1
)],
{
"bypass"
:
0
}),
# (8192, 1024), (8192, 1024)
str
(((
1
,
64
,
512
,
16
,
16
),
(
1
,
64
,
512
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float32"
))
:
([(
4
,
4
),(
16
,
16
),(
16
,
16
),(
16
,
16
),(
16
,
4
)],
{
"bypass"
:
0
}),
# (1216, 1024), (1216, 1024)
str
(((
1
,
64
,
76
,
16
,
16
),
(
1
,
64
,
76
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float16"
))
:
([(
16
,
16
),(
8
,
8
),(
16
,
16
),(
16
,
16
),(
4
,
2
)],
{
"bypass"
:
0
}),
# (16, 1024), (16, 1024)
str
(((
1
,
64
,
1
,
16
,
16
),
(
1
,
64
,
1
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float32"
))
:
([(
8
,
8
),(
2
,
2
),(
16
,
16
),(
16
,
16
),(
16
,
16
)],
{
"bypass"
:
0
}),
# (16, 1024), (1024, 1024)
str
(((
1
,
64
,
1
,
16
,
16
),
(
1
,
64
,
64
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float32"
))
:
([(
8
,
8
),(
16
,
16
),(
16
,
16
),(
32
,
8
)],
{
"bypass"
:
2
}),
# (16, 16), (16, 1024)
str
(((
1
,
1
,
1
,
16
,
16
),
(
1
,
64
,
1
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float32"
))
:
([(
8
,
8
),(
16
,
16
),(
16
,
16
),(
16
,
16
)],
{
"bypass"
:
0
}),
# (8192, 1024), (1024, 1024)
str
(((
1
,
64
,
512
,
16
,
16
),
(
1
,
64
,
64
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float16"
))
:
([(
16
,
8
),(
8
,
8
),(
16
,
16
),(
16
,
16
),(
64
,
8
)],
{
"bypass"
:
1
}),
# (8192, 4096), (1024, 4096)
str
(((
1
,
256
,
512
,
16
,
16
),
(
1
,
256
,
64
,
16
,
16
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float16"
))
:
([(
8
,
8
),(
16
,
16
),(
16
,
16
),(
16
,
16
),(
128
,
8
)],
{
"bypass"
:
1
}),
}
...
...
@@ -38,7 +80,7 @@ def matmul_set_dim(A, B, b, out_dtype, left_format, right_format, output_format,
shape_B
=
B
.
shape
bias
=
0
if
b
is
None
else
1
key
=
()
key
+=
(
tuple
(
shape_A
),
tuple
(
shape_B
),
bias
,
left_format
,
right_format
,
output_format
,
adj_x
,
adj_y
,
A
.
dtype
,
out_dtype
)
hash_key
=
str
(
key
)
if
hash_key
in
matmul_set_dim_map
:
...
...
@@ -121,7 +163,7 @@ def matmul4D_compute(x, y, bias_value, out_dtype, left_format, right_format, out
shape_A
=
x
.
shape
shape_B
=
y
.
shape
key
=
()
key
+=
(
tuple
(
shape_A
),
tuple
(
shape_B
),
bias
,
left_format
,
right_format
,
out_format
,
transpose_x
,
transpose_y
,
x
.
dtype
,
out_dtype
)
hash_key
=
str
(
key
)
# bypass 2 left matrix ddr -> l0
...
...
@@ -271,7 +313,7 @@ def matmul(x, y, b, out_dtype, left_format="zZ", right_format="nZ", out_format="
left_format: str. Data format of left matrix. Supported data format list ["zZ", "nZ", "zN"].
right_format: str. Data format of right matrix. Supported data format list ["zZ", "nZ", "zN"].
out_format: str. Data format of output tensor. Supported data format list ["zZ", "nZ", "zN"].
transpose_x: Boolean. Specifies whether x is transposed or not.
transpose_x: Boolean. Specifies whether x is transposed or not.
transpose_y: Boolean. Specifies whether y is transposed or not.
has_bias: Boolean. Specifies whether bias tensor exists or not.
attrs: Dict. Used in matmul computation.
...
...
tests/operators/cube/test_matmul_001.py
浏览文件 @
b3b05186
...
...
@@ -32,6 +32,29 @@ class TestCase(TestBase):
self
.
testarg
=
[
# caseflag,opfuncname,testRunArgs, dimArgs
# shape_x, shape_y, bias, left_format, right_format, output_format, adj_x, adj_y, dtype, out_dtype, kernel_name, attrs
# bert shape
(
"matmul_run_bert_00"
,
"matmul_run"
,
((
16
,
1024
),
(
16
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float16"
,
"matmul_cce"
)),
(
"matmul_run_bert_01"
,
"matmul_run"
,
((
8192
,
4096
),
(
8192
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float32"
,
"matmul_cce"
)),
(
"matmul_run_bert_02"
,
"matmul_run"
,
((
8192
,
1024
),
(
1024
,
4096
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float16"
,
"matmul_cce"
)),
(
"matmul_run_bert_03"
,
"matmul_run"
,
((
16
,
16
),
(
16
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float32"
,
"matmul_cce"
)),
(
"matmul_run_bert_04"
,
"matmul_run"
,
((
1216
,
1024
),
(
1024
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float32"
,
"matmul_cce"
)),
(
"matmul_run_bert_05"
,
"matmul_run"
,
((
8192
,
4096
),
(
4096
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float16"
,
"matmul_cce"
)),
(
"matmul_run_bert_06"
,
"matmul_run"
,
((
8192
,
1024
),
(
4096
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float16"
,
"matmul_cce"
)),
(
"matmul_run_bert_07"
,
"matmul_run"
,
((
8192
,
1024
),
(
8192
,
4096
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float16"
,
"matmul_cce"
)),
(
"matmul_run_bert_08"
,
"matmul_run"
,
((
1216
,
1024
),
(
1024
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float16"
,
"matmul_cce"
)),
(
"matmul_run_bert_09"
,
"matmul_run"
,
((
8192
,
1024
),
(
1024
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float16"
,
"matmul_cce"
)),
(
"matmul_run_bert_10"
,
"matmul_run"
,
((
1216
,
30522
),
(
30522
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float16"
,
"matmul_cce"
)),
(
"matmul_run_bert_11"
,
"matmul_run"
,
((
1216
,
30522
),
(
1216
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float32"
,
"matmul_cce"
)),
(
"matmul_run_bert_12"
,
"matmul_run"
,
((
1216
,
1024
),
(
30522
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float32"
,
"matmul_cce"
)),
(
"matmul_run_bert_13"
,
"matmul_run"
,
((
8192
,
1024
),
(
8192
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float32"
,
"matmul_cce"
)),
(
"matmul_run_bert_14"
,
"matmul_run"
,
((
1216
,
1024
),
(
1216
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float16"
,
"matmul_cce"
)),
(
"matmul_run_bert_15"
,
"matmul_run"
,
((
16
,
1024
),
(
16
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
True
,
False
,
"float16"
,
"float32"
,
"matmul_cce"
)),
(
"matmul_run_bert_16"
,
"matmul_run"
,
((
16
,
1024
),
(
1024
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float32"
,
"matmul_cce"
)),
(
"matmul_run_bert_17"
,
"matmul_run"
,
((
16
,
16
),
(
16
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
False
,
"float16"
,
"float32"
,
"matmul_cce"
)),
(
"matmul_run_bert_18"
,
"matmul_run"
,
((
8192
,
1024
),
(
1024
,
1024
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float16"
,
"matmul_cce"
)),
(
"matmul_run_bert_19"
,
"matmul_run"
,
((
8192
,
4096
),
(
1024
,
4096
),
0
,
"zN"
,
"zN"
,
"zN"
,
False
,
True
,
"float16"
,
"float16"
,
"matmul_cce"
)),
# matmul_cast
(
"matmul_run1"
,
"matmul_run"
,
((
64
,
1024
),
(
16
,
1024
),
0
,
"zZ"
,
"nZ"
,
"zN"
,
False
,
True
,
"float16"
,
"float32"
,
"matmul_cast_cce"
)),
...
...
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