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jerrrrry
infinicore
Commits
1c32d14d
Commit
1c32d14d
authored
Feb 12, 2026
by
zhangyue
Browse files
issue/1008: wrap iluvatar change in #ifdef ENABLE_ILUVATAR_API
parent
034b1895
Changes
4
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Side-by-side
Showing
4 changed files
with
52 additions
and
6 deletions
+52
-6
scripts/python_test.py
scripts/python_test.py
+5
-5
src/infiniop/ops/paged_attention_prefill/cuda/kernel_v2.cuh
src/infiniop/ops/paged_attention_prefill/cuda/kernel_v2.cuh
+44
-0
src/infiniop/ops/scaled_mm/nvidia/int8_gemm_nvidia.cu
src/infiniop/ops/scaled_mm/nvidia/int8_gemm_nvidia.cu
+2
-0
xmake/iluvatar.lua
xmake/iluvatar.lua
+1
-1
No files found.
scripts/python_test.py
View file @
1c32d14d
...
...
@@ -20,7 +20,7 @@ def run_tests(args):
#"dequantize_awq.py",
"gelu.py"
,
"gemm.py"
,
"layer_norm.py"
,
#
"layer_norm.py",
"logsoftmax.py"
,
"lp_norm.py"
,
"mul.py"
,
...
...
@@ -31,7 +31,7 @@ def run_tests(args):
"rms_norm.py"
,
"rope.py"
,
"sigmoid.py"
,
"softmax.py"
,
#
"softmax.py",
"softplus.py"
,
"sub.py"
,
"swiglu.py"
,
...
...
@@ -39,9 +39,9 @@ def run_tests(args):
"topkrouter.py"
,
"topksoftmax.py"
,
"zeros.py"
,
"paged_attention.py"
,
"paged_caching.py"
,
"paged_attention_prefill.py"
#
"paged_attention.py",
#
"paged_caching.py",
#
"paged_attention_prefill.py"
]:
result
=
subprocess
.
run
(
f
"python
{
test
}
{
args
}
--debug"
,
text
=
True
,
encoding
=
"utf-8"
,
shell
=
True
...
...
src/infiniop/ops/paged_attention_prefill/cuda/kernel_v2.cuh
View file @
1c32d14d
...
...
@@ -194,8 +194,13 @@ __device__ void PagedAttentionPrefillWarpKernel(
l
=
l
*
alpha
+
beta
;
m
=
m_new
;
}
#ifdef ENABLE_ILUVATAR_API
alpha
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
alpha
,
0
);
beta
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
beta
,
0
);
#else
alpha
=
__shfl_sync
(
0xffffffff
,
alpha
,
0
);
beta
=
__shfl_sync
(
0xffffffff
,
beta
,
0
);
#endif
#if defined(__CUDA_ARCH__)
if
constexpr
(
std
::
is_same_v
<
Tdata
,
half
>
)
{
...
...
@@ -233,7 +238,11 @@ __device__ void PagedAttentionPrefillWarpKernel(
if
(
lane
==
0
)
{
inv_l
=
1.0
f
/
(
l
+
1e-6
f
);
}
#ifdef ENABLE_ILUVATAR_API
inv_l
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
inv_l
,
0
);
#else
inv_l
=
__shfl_sync
(
0xffffffff
,
inv_l
,
0
);
#endif
#pragma unroll
for
(
int
i
=
0
;
i
<
DIMS_PER_THREAD
;
++
i
)
{
...
...
@@ -411,8 +420,13 @@ __global__ void PagedAttentionPrefillWarpGlobalKernel(
l
=
l
*
alpha
+
beta
;
m
=
m_new
;
}
#ifdef ENABLE_ILUVATAR_API
alpha
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
alpha
,
0
);
beta
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
beta
,
0
);
#else
alpha
=
__shfl_sync
(
0xffffffff
,
alpha
,
0
);
beta
=
__shfl_sync
(
0xffffffff
,
beta
,
0
);
#endif
#if defined(__CUDA_ARCH__)
if
constexpr
(
std
::
is_same_v
<
Tdata
,
half
>
)
{
...
...
@@ -450,7 +464,11 @@ __global__ void PagedAttentionPrefillWarpGlobalKernel(
if
(
lane
==
0
)
{
inv_l
=
1.0
f
/
(
l
+
1e-6
f
);
}
#ifdef ENABLE_ILUVATAR_API
inv_l
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
inv_l
,
0
);
#else
inv_l
=
__shfl_sync
(
0xffffffff
,
inv_l
,
0
);
#endif
#pragma unroll
for
(
int
i
=
0
;
i
<
DIMS_PER_THREAD
;
++
i
)
{
...
...
@@ -785,8 +803,13 @@ __device__ void PagedAttentionPrefillWarpCtaKernel(
l
=
l
*
alpha
+
beta
;
m
=
m_new
;
}
#ifdef ENABLE_ILUVATAR_API
alpha
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
alpha
,
0
);
beta
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
beta
,
0
);
#else
alpha
=
__shfl_sync
(
0xffffffff
,
alpha
,
0
);
beta
=
__shfl_sync
(
0xffffffff
,
beta
,
0
);
#endif
#if defined(__CUDA_ARCH__)
if
constexpr
(
std
::
is_same_v
<
Tdata
,
half
>
)
{
...
...
@@ -826,7 +849,11 @@ __device__ void PagedAttentionPrefillWarpCtaKernel(
if
(
lane
==
0
)
{
inv_l
=
1.0
f
/
(
l
+
1e-6
f
);
}
#ifdef ENABLE_ILUVATAR_API
inv_l
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
inv_l
,
0
);
#else
inv_l
=
__shfl_sync
(
0xffffffff
,
inv_l
,
0
);
#endif
#pragma unroll
for
(
int
i
=
0
;
i
<
DIMS_PER_THREAD
;
++
i
)
{
...
...
@@ -1270,7 +1297,11 @@ __device__ void PagedAttentionPrefillWarpCtaKernelPipelined(
if
(
lane
==
0
)
{
inv_l
=
1.0
f
/
(
l
+
1e-6
f
);
}
#ifdef ENABLE_ILUVATAR_API
inv_l
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
inv_l
,
0
);
#else
inv_l
=
__shfl_sync
(
0xffffffff
,
inv_l
,
0
);
#endif
#pragma unroll
for
(
int
i
=
0
;
i
<
DIMS_PER_THREAD
;
++
i
)
{
...
...
@@ -1961,8 +1992,13 @@ __device__ void PagedAttentionPrefillWarpCtaKernelKOnly(
l
=
l
*
alpha
+
beta
;
m
=
m_new
;
}
#ifdef ENABLE_ILUVATAR_API
alpha
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
alpha
,
0
);
beta
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
beta
,
0
);
#else
alpha
=
__shfl_sync
(
0xffffffff
,
alpha
,
0
);
beta
=
__shfl_sync
(
0xffffffff
,
beta
,
0
);
#endif
#if defined(__CUDA_ARCH__)
if
constexpr
(
std
::
is_same_v
<
Tdata
,
half
>
)
{
...
...
@@ -2002,7 +2038,11 @@ __device__ void PagedAttentionPrefillWarpCtaKernelKOnly(
if
(
lane
==
0
)
{
inv_l
=
1.0
f
/
(
l
+
1e-6
f
);
}
#ifdef ENABLE_ILUVATAR_API
inv_l
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
inv_l
,
0
);
#else
inv_l
=
__shfl_sync
(
0xffffffff
,
inv_l
,
0
);
#endif
#pragma unroll
for
(
int
i
=
0
;
i
<
DIMS_PER_THREAD
;
++
i
)
{
...
...
@@ -2131,7 +2171,11 @@ __device__ __forceinline__ void PagedAttentionPrefillMmaScoreWriteRow(
if
(
lane
==
0
)
{
inv_l
=
1.0
f
/
(
l
+
1e-6
f
);
}
#ifdef ENABLE_ILUVATAR_API
inv_l
=
op
::
paged_attention
::
cuda
::
warpBroadcast
(
inv_l
,
0
);
#else
inv_l
=
__shfl_sync
(
0xffffffff
,
inv_l
,
0
);
#endif
const
int64_t
q_token
=
q_start
+
static_cast
<
int64_t
>
(
q_token_local
);
half
*
out_ptr
=
out_
+
q_token
*
o_stride
+
static_cast
<
int64_t
>
(
head_idx
)
*
o_head_stride
;
...
...
src/infiniop/ops/scaled_mm/nvidia/int8_gemm_nvidia.cu
View file @
1c32d14d
...
...
@@ -64,6 +64,7 @@ infiniStatus_t Descriptor::create(
return
INFINI_STATUS_SUCCESS
;
}
#ifdef ENABLE_QY_API
template
<
unsigned
int
BLOCK_SIZE
,
typename
Tdata
>
infiniStatus_t
Descriptor
::
launchKernel
(
const
I8GemmInfo
&
info
,
Tdata
*
y
,
const
Tdata
*
bias
,
const
int8_t
*
x_packed
,
const
float
*
x_scale
,
const
int8_t
*
w_packed
,
const
float
*
w_scale
,
void
*
stream_
,
void
*
workspace
)
const
{
cudaStream_t
stream
=
(
cudaStream_t
)
stream_
;
...
...
@@ -112,6 +113,7 @@ infiniStatus_t Descriptor::launchKernel(const I8GemmInfo &info, Tdata *y, const
return
INFINI_STATUS_SUCCESS
;
}
#endif
infiniStatus_t
Descriptor
::
calculate
(
void
*
workspace
,
...
...
xmake/iluvatar.lua
View file @
1c32d14d
...
...
@@ -54,7 +54,7 @@ target("infiniop-iluvatar")
-- set_languages("cxx17") 天数似乎不能用这个配置
add_files
(
"../src/infiniop/devices/nvidia/*.cu"
,
"../src/infiniop/ops/*/nvidia/*.cu"
)
-- skip scaled_mm, adapt it later
remove_files
(
"../src/infiniop/ops/scaled_mm/nvidia/*.cu"
)
--
remove_files("../src/infiniop/ops/scaled_mm/nvidia/*.cu")
-- 天数平台不支持部分 NVIDIA PTX 指令,AWQ 反量化改用 CUDA C++ 实现
add_files
(
"../src/infiniop/ops/dequantize_awq/iluvatar/*.cu"
)
...
...
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