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Use compile-time promotion to reduce optimized mul op size & build time #3532

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Use compile-time promotion to reduce optimized mul op size & build time #3532

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cef74f0
Use compile-time promotion to reduce max/min size & build time (#3459)
swolchok May 8, 2024
689ffaf
Use compile-time promotion to reduce floor_divide size & build time (…
swolchok May 8, 2024
ccb58e3
Use compile-time promotion to reduce remainder size & build time (#3458)
swolchok May 8, 2024
61485b5
Use compile-time promotion to reduce fmod size & build time (#3456)
swolchok May 8, 2024
1a13a29
support Half in minimum and clamp (#3457)
swolchok May 8, 2024
74f4fc8
use utils:{min,max}_override in {min,max}imum ops (#3453)
swolchok May 8, 2024
9be3d6d
Use compile-time promotion to reduce bitwise op size & build time (#3…
swolchok May 8, 2024
7bd0547
Use compile-time promotion to reduce optimized mul op size & build ti…
swolchok May 8, 2024
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73 changes: 59 additions & 14 deletions kernels/optimized/cpu/op_mul.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,50 @@ bool can_use_optimized_path(
(a.numel() == b.numel() && a.numel() == out.numel()));
return can_use_optimized_path;
}

template <
bool can_cast,
typename CTYPE_A,
typename CTYPE_B,
typename CTYPE_IN,
typename CTYPE_OUT>
struct MulInner;

template <
typename CTYPE_A,
typename CTYPE_B,
typename CTYPE_IN,
typename CTYPE_OUT>
struct MulInner<true, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT> {
static void run(const Tensor& a, const Tensor& b, Tensor& out) {
apply_binary_elementwise_fn<CTYPE_A, CTYPE_B, CTYPE_OUT>(
// NOLINTNEXTLINE(facebook-hte-ConstantArgumentPassByValue)
[](const CTYPE_A val_a, const CTYPE_B val_b) {
CTYPE_IN a_casted = static_cast<CTYPE_IN>(val_a);
CTYPE_IN b_casted = static_cast<CTYPE_IN>(val_b);
CTYPE_IN value = a_casted * b_casted;

return static_cast<CTYPE_OUT>(value);
},
a,
b,
out);
}
};

struct ReportCanCastBug {
static void run(const Tensor&, const Tensor&, Tensor&) {
ET_DCHECK_MSG(false, "BUG: canCast should have been checked above");
}
};

template <
typename CTYPE_A,
typename CTYPE_B,
typename CTYPE_IN,
typename CTYPE_OUT>
struct MulInner<false, CTYPE_A, CTYPE_B, CTYPE_IN, CTYPE_OUT>
: public ReportCanCastBug {};
} // namespace

Tensor& opt_mul_out(
Expand Down Expand Up @@ -86,20 +130,21 @@ Tensor& opt_mul_out(

ET_SWITCH_REALHB_TYPES(a_type, ctx, "mul.out", CTYPE_A, [&]() {
ET_SWITCH_REALHB_TYPES(b_type, ctx, "mul.out", CTYPE_B, [&]() {
ET_SWITCH_REALB_TYPES(common_type, ctx, "mul.out", CTYPE_IN, [&]() {
ET_SWITCH_REALHB_TYPES(out_type, ctx, "mul.out", CTYPE_OUT, [&]() {
apply_binary_elementwise_fn<CTYPE_A, CTYPE_B, CTYPE_OUT>(
[](const CTYPE_A val_a, const CTYPE_B val_b) {
CTYPE_IN a_casted = static_cast<CTYPE_IN>(val_a);
CTYPE_IN b_casted = static_cast<CTYPE_IN>(val_b);
CTYPE_IN value = a_casted * b_casted;

return static_cast<CTYPE_OUT>(value);
},
a,
b,
out);
});
using CTYPE_IN = typename torch::executor::
promote_types<CTYPE_A, CTYPE_B, /*half_to_float*/ true>::type;
ET_DCHECK(CppTypeToScalarType<CTYPE_IN>::value == common_type);
ET_SWITCH_REALHB_TYPES(out_type, ctx, "mul.out", CTYPE_OUT, [&]() {
apply_binary_elementwise_fn<CTYPE_A, CTYPE_B, CTYPE_OUT>(
[](const CTYPE_A val_a, const CTYPE_B val_b) {
CTYPE_IN a_casted = static_cast<CTYPE_IN>(val_a);
CTYPE_IN b_casted = static_cast<CTYPE_IN>(val_b);
CTYPE_IN value = a_casted * b_casted;

return static_cast<CTYPE_OUT>(value);
},
a,
b,
out);
});
});
});
Expand Down
63 changes: 18 additions & 45 deletions kernels/portable/cpu/op_bitwise_and.cpp
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,8 +6,10 @@
* LICENSE file in the root directory of this source tree.
*/

#include <cmath>
// patternlint-disable-next-line executorch-cpp-nostdinc
#include <functional>

#include <executorch/kernels/portable/cpu/pattern/bitwise_op.h>
#include <executorch/kernels/portable/cpu/scalar_utils.h>
#include <executorch/kernels/portable/cpu/util/broadcast_util.h>
#include <executorch/kernels/portable/cpu/util/functional_util.h>
Expand All @@ -17,20 +19,6 @@ namespace torch {
namespace executor {
namespace native {

namespace {

template <typename CTYPE>
CTYPE bitwise_and(CTYPE a, CTYPE b) {
return a & b;
}

template <>
bool bitwise_and<bool>(bool a, bool b) {
return a && b;
}

} // namespace

using Tensor = exec_aten::Tensor;

Tensor& bitwise_and_Tensor_out(
Expand All @@ -55,38 +43,23 @@ Tensor& bitwise_and_Tensor_out(
Bool, a_type, ctx, "bitwise_and.Tensor_out", CTYPE_A, [&]() {
ET_SWITCH_INT_TYPES_AND(
Bool, b_type, ctx, "bitwise_and.Tensor_out", CTYPE_B, [&]() {
ET_SWITCH_INT_TYPES_AND(
using CTYPE_IN = typename torch::executor::
promote_types<CTYPE_A, CTYPE_B>::type;
ET_DCHECK(CppTypeToScalarType<CTYPE_IN>::value == common_type);
ET_SWITCH_REAL_TYPES_AND(
Bool,
common_type,
out_type,
ctx,
"bitwise_and.Tensor_out",
CTYPE_IN,
CTYPE_OUT,
[&]() {
ET_SWITCH_REAL_TYPES_AND(
Bool,
out_type,
ctx,
"bitwise_and.Tensor_out",
CTYPE_OUT,
[&]() {
apply_binary_elementwise_fn<
CTYPE_A,
CTYPE_B,
CTYPE_OUT>(
[](const CTYPE_A val_a, const CTYPE_B val_b) {
CTYPE_IN a_casted =
static_cast<CTYPE_IN>(val_a);
CTYPE_IN b_casted =
static_cast<CTYPE_IN>(val_b);
CTYPE_IN value =
bitwise_and(a_casted, b_casted);

return static_cast<CTYPE_OUT>(value);
},
a,
b,
out);
});
internal::BitwiseOpInner<
can_cast<CTYPE_IN, CTYPE_OUT>::value,
std::bit_and,
CTYPE_A,
CTYPE_B,
CTYPE_IN,
CTYPE_OUT>::run(a, b, out);
});
});
});
Expand Down Expand Up @@ -142,8 +115,8 @@ Tensor& bitwise_and_Scalar_out(
static_cast<CTYPE_IN>(val_a);
CTYPE_IN b_casted =
static_cast<CTYPE_IN>(val_b);
CTYPE_IN value =
bitwise_and(a_casted, b_casted);
CTYPE_IN value = std::bit_and<CTYPE_IN>()(
a_casted, b_casted);

return static_cast<CTYPE_OUT>(value);
},
Expand Down
61 changes: 18 additions & 43 deletions kernels/portable/cpu/op_bitwise_or.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,8 +6,10 @@
* LICENSE file in the root directory of this source tree.
*/

#include <cmath>
// patternlint-disable-next-line executorch-cpp-nostdinc
#include <functional>

#include <executorch/kernels/portable/cpu/pattern/bitwise_op.h>
#include <executorch/kernels/portable/cpu/scalar_utils.h>
#include <executorch/kernels/portable/cpu/util/broadcast_util.h>
#include <executorch/kernels/portable/cpu/util/functional_util.h>
Expand All @@ -17,20 +19,6 @@ namespace torch {
namespace executor {
namespace native {

namespace {

template <typename CTYPE>
CTYPE bitwise_or(CTYPE a, CTYPE b) {
return a | b;
}

template <>
bool bitwise_or<bool>(bool a, bool b) {
return a || b;
}

} // namespace

using Tensor = exec_aten::Tensor;

Tensor& bitwise_or_Tensor_out(
Expand All @@ -55,37 +43,23 @@ Tensor& bitwise_or_Tensor_out(
Bool, a_type, ctx, "bitwise_or.Tensor_out", CTYPE_A, [&]() {
ET_SWITCH_INT_TYPES_AND(
Bool, b_type, ctx, "bitwise_or.Tensor_out", CTYPE_B, [&]() {
ET_SWITCH_INT_TYPES_AND(
using CTYPE_IN = typename torch::executor::
promote_types<CTYPE_A, CTYPE_B>::type;
ET_DCHECK(CppTypeToScalarType<CTYPE_IN>::value == common_type);
ET_SWITCH_REAL_TYPES_AND(
Bool,
common_type,
out_type,
ctx,
"bitwise_or.Tensor_out",
CTYPE_IN,
CTYPE_OUT,
[&]() {
ET_SWITCH_REAL_TYPES_AND(
Bool,
out_type,
ctx,
"bitwise_or.Tensor_out",
CTYPE_OUT,
[&]() {
apply_binary_elementwise_fn<
CTYPE_A,
CTYPE_B,
CTYPE_OUT>(
[](const CTYPE_A val_a, const CTYPE_B val_b) {
CTYPE_IN a_casted =
static_cast<CTYPE_IN>(val_a);
CTYPE_IN b_casted =
static_cast<CTYPE_IN>(val_b);
CTYPE_IN value = bitwise_or(a_casted, b_casted);

return static_cast<CTYPE_OUT>(value);
},
a,
b,
out);
});
internal::BitwiseOpInner<
can_cast<CTYPE_IN, CTYPE_OUT>::value,
std::bit_or,
CTYPE_A,
CTYPE_B,
CTYPE_IN,
CTYPE_OUT>::run(a, b, out);
});
});
});
Expand Down Expand Up @@ -141,7 +115,8 @@ Tensor& bitwise_or_Scalar_out(
static_cast<CTYPE_IN>(val_a);
CTYPE_IN b_casted =
static_cast<CTYPE_IN>(val_b);
CTYPE_IN value = bitwise_or(a_casted, b_casted);
CTYPE_IN value =
std::bit_or<CTYPE_IN>()(a_casted, b_casted);

return static_cast<CTYPE_OUT>(value);
},
Expand Down
64 changes: 18 additions & 46 deletions kernels/portable/cpu/op_bitwise_xor.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,8 +6,10 @@
* LICENSE file in the root directory of this source tree.
*/

#include <cmath>
// patternlint-disable-next-line executorch-cpp-nostdinc
#include <functional>

#include <executorch/kernels/portable/cpu/pattern/bitwise_op.h>
#include <executorch/kernels/portable/cpu/scalar_utils.h>
#include <executorch/kernels/portable/cpu/util/broadcast_util.h>
#include <executorch/kernels/portable/cpu/util/functional_util.h>
Expand All @@ -17,28 +19,13 @@ namespace torch {
namespace executor {
namespace native {

namespace {

template <typename CTYPE>
CTYPE bitwise_xor(CTYPE a, CTYPE b) {
return a ^ b;
}

template <>
bool bitwise_xor<bool>(bool a, bool b) {
return a != b;
}

} // namespace

using Tensor = exec_aten::Tensor;

Tensor& bitwise_xor_Tensor_out(
RuntimeContext& ctx,
const Tensor& a,
const Tensor& b,
Tensor& out) {
// Determine output size and resize for dynamic shapes
ET_KERNEL_CHECK(
ctx,
resize_to_broadcast_target_size(a, b, out) == Error::Ok,
Expand All @@ -56,38 +43,23 @@ Tensor& bitwise_xor_Tensor_out(
Bool, a_type, ctx, "bitwise_xor.Tensor_out", CTYPE_A, [&]() {
ET_SWITCH_INT_TYPES_AND(
Bool, b_type, ctx, "bitwise_xor.Tensor_out", CTYPE_B, [&]() {
ET_SWITCH_INT_TYPES_AND(
using CTYPE_IN = typename torch::executor::
promote_types<CTYPE_A, CTYPE_B>::type;
ET_DCHECK(CppTypeToScalarType<CTYPE_IN>::value == common_type);
ET_SWITCH_REAL_TYPES_AND(
Bool,
common_type,
out_type,
ctx,
"bitwise_xor.Tensor_out",
CTYPE_IN,
CTYPE_OUT,
[&]() {
ET_SWITCH_REAL_TYPES_AND(
Bool,
out_type,
ctx,
"bitwise_xor.Tensor_out",
CTYPE_OUT,
[&]() {
apply_binary_elementwise_fn<
CTYPE_A,
CTYPE_B,
CTYPE_OUT>(
[](const CTYPE_A val_a, const CTYPE_B val_b) {
CTYPE_IN a_casted =
static_cast<CTYPE_IN>(val_a);
CTYPE_IN b_casted =
static_cast<CTYPE_IN>(val_b);
CTYPE_IN value =
bitwise_xor(a_casted, b_casted);

return static_cast<CTYPE_OUT>(value);
},
a,
b,
out);
});
internal::BitwiseOpInner<
can_cast<CTYPE_IN, CTYPE_OUT>::value,
std::bit_xor,
CTYPE_A,
CTYPE_B,
CTYPE_IN,
CTYPE_OUT>::run(a, b, out);
});
});
});
Expand Down Expand Up @@ -143,8 +115,8 @@ Tensor& bitwise_xor_Scalar_out(
static_cast<CTYPE_IN>(val_a);
CTYPE_IN b_casted =
static_cast<CTYPE_IN>(val_b);
CTYPE_IN value =
bitwise_xor(a_casted, b_casted);
CTYPE_IN value = std::bit_xor<CTYPE_IN>()(
a_casted, b_casted);

return static_cast<CTYPE_OUT>(value);
},
Expand Down
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