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wenyuanbo
tic
Commits
29d5ffbb
Commit
29d5ffbb
authored
Jun 27, 2017
by
ziheng
Committed by
Tianqi Chen
Jun 27, 2017
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[INTRINSIC] Add sqrt (#202)
* [INTRINSIC] Add sqrt * [INTRINSIC] Expose on cpp
parent
b8e02348
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9 changed files
with
64 additions
and
0 deletions
+64
-0
include/tvm/ir_operator.h
+1
-0
python/tvm/intrin.py
+16
-0
src/codegen/intrin_rule.cc
+3
-0
src/codegen/intrin_rule_cuda.cc
+3
-0
src/codegen/intrin_rule_opencl.cc
+3
-0
src/codegen/llvm/intrin_rule_llvm.cc
+3
-0
tests/python/unittest/test_topi_basic.py
+2
-0
topi/include/topi/ewise.h
+1
-0
topi/python/topi/ewise.py
+32
-0
No files found.
include/tvm/ir_operator.h
View file @
29d5ffbb
...
...
@@ -51,6 +51,7 @@ Expr min(Expr source, Array<IterVar> axis);
TVM_DECLARE_INTRIN_UNARY
(
exp
);
TVM_DECLARE_INTRIN_UNARY
(
tanh
);
TVM_DECLARE_INTRIN_UNARY
(
sigmoid
);
TVM_DECLARE_INTRIN_UNARY
(
sqrt
);
}
// namespace tvm
#endif // TVM_IR_OPERATOR_H_
python/tvm/intrin.py
View file @
29d5ffbb
...
...
@@ -166,6 +166,22 @@ def log(x):
return
call_pure_intrin
(
x
.
dtype
,
"log"
,
x
)
def
sqrt
(
x
):
"""Take log of input x.
Parameters
----------
x : Expr
Input argument.
Returns
-------
y : Expr
The result.
"""
return
call_pure_intrin
(
x
.
dtype
,
"sqrt"
,
x
)
# Intrinsic rule related code
def
register_intrin_rule
(
target
,
intrin
,
f
=
None
,
override
=
False
):
"""Register an intrinsic function generation rule.
...
...
src/codegen/intrin_rule.cc
View file @
29d5ffbb
...
...
@@ -18,6 +18,9 @@ TVM_REGISTER_GLOBAL("tvm.intrin.rule.default.log")
TVM_REGISTER_GLOBAL
(
"tvm.intrin.rule.default.tanh"
)
.
set_body
(
DispatchExtern
<
FloatSuffix
>
);
TVM_REGISTER_GLOBAL
(
"tvm.intrin.rule.default.sqrt"
)
.
set_body
(
DispatchExtern
<
FloatSuffix
>
);
}
// namespace intrin
}
// namespace codegen
}
// namespace tvm
src/codegen/intrin_rule_cuda.cc
View file @
29d5ffbb
...
...
@@ -45,6 +45,9 @@ TVM_REGISTER_GLOBAL("tvm.intrin.rule.cuda.log")
TVM_REGISTER_GLOBAL
(
"tvm.intrin.rule.cuda.tanh"
)
.
set_body
(
DispatchExtern
<
CUDAMath
>
);
TVM_REGISTER_GLOBAL
(
"tvm.intrin.rule.cuda.sqrt"
)
.
set_body
(
DispatchExtern
<
CUDAMath
>
);
}
// namespace intrin
}
// namespace codegen
}
// namespace tvm
src/codegen/intrin_rule_opencl.cc
View file @
29d5ffbb
...
...
@@ -18,6 +18,9 @@ TVM_REGISTER_GLOBAL("tvm.intrin.rule.opencl.log")
TVM_REGISTER_GLOBAL
(
"tvm.intrin.rule.opencl.tanh"
)
.
set_body
(
DispatchExtern
<
FloatDirect
>
);
TVM_REGISTER_GLOBAL
(
"tvm.intrin.rule.opencl.sqrt"
)
.
set_body
(
DispatchExtern
<
FloatDirect
>
);
}
// namespace intrin
}
// namespace codegen
}
// namespace tvm
src/codegen/llvm/intrin_rule_llvm.cc
View file @
29d5ffbb
...
...
@@ -37,6 +37,9 @@ TVM_REGISTER_GLOBAL("tvm.intrin.rule.llvm.exp")
TVM_REGISTER_GLOBAL
(
"tvm.intrin.rule.llvm.log"
)
.
set_body
(
DispatchLLVMIntrin
<::
llvm
::
Intrinsic
::
log
>
);
TVM_REGISTER_GLOBAL
(
"tvm.intrin.rule.llvm.sqrt"
)
.
set_body
(
DispatchLLVMIntrin
<::
llvm
::
Intrinsic
::
sqrt
>
);
}
// namespace llvm
}
// namespace codegen
}
// namespace tvm
...
...
tests/python/unittest/test_topi_basic.py
View file @
29d5ffbb
...
...
@@ -14,6 +14,8 @@ def test_ewise():
test_apply
(
topi
.
exp
,
"exp"
)
test_apply
(
topi
.
tanh
,
"tanh"
)
test_apply
(
topi
.
sigmoid
,
"sigmoid"
)
test_apply
(
topi
.
log
,
"log"
)
test_apply
(
topi
.
sqrt
,
"sqrt"
)
if
__name__
==
"__main__"
:
...
...
topi/include/topi/ewise.h
View file @
29d5ffbb
...
...
@@ -22,5 +22,6 @@ using namespace tvm;
TOPI_DECLARE_UNARY_OP
(
exp
);
TOPI_DECLARE_UNARY_OP
(
tanh
);
TOPI_DECLARE_UNARY_OP
(
sigmoid
);
TOPI_DECLARE_UNARY_OP
(
sqrt
);
}
// namespace topi
#endif // TOPI_EWISE_H_
topi/python/topi/ewise.py
View file @
29d5ffbb
...
...
@@ -34,6 +34,38 @@ def tanh(x):
return
tvm
.
compute
(
x
.
shape
,
lambda
*
i
:
tvm
.
tanh
(
x
(
*
i
)))
def
log
(
x
):
"""Take logarithm of input x.
Parameters
----------
x : tvm.Tensor
Input argument.
Returns
-------
y : tvm.Tensor
The result.
"""
return
tvm
.
compute
(
x
.
shape
,
lambda
*
i
:
tvm
.
log
(
x
(
*
i
)))
def
sqrt
(
x
):
"""Take square root of input x.
Parameters
----------
x : tvm.Tensor
Input argument.
Returns
-------
y : tvm.Tensor
The result.
"""
return
tvm
.
compute
(
x
.
shape
,
lambda
*
i
:
tvm
.
sqrt
(
x
(
*
i
)))
def
sigmoid
(
x
):
"""Take sigmoid tanh of input x.
...
...
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