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Revert "Add new launch property to support work_group_scratch_memory"
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This reverts commit 7222f79.
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@callumfare
callumfare committed Nov 29, 2024
1 parent 78b95e6 commit 28dc173
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Showing 19 changed files with 94 additions and 252 deletions.
15 changes: 4 additions & 11 deletions include/ur_api.h
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Original file line number Diff line number Diff line change
Expand Up @@ -9560,7 +9560,6 @@ typedef enum ur_exp_launch_property_id_t {
UR_EXP_LAUNCH_PROPERTY_ID_IGNORE = 0, ///< The property has no effect
UR_EXP_LAUNCH_PROPERTY_ID_COOPERATIVE = 1, ///< Whether to launch a cooperative kernel
UR_EXP_LAUNCH_PROPERTY_ID_CLUSTER_DIMENSION = 2, ///< work-group cluster dimensions
UR_EXP_LAUNCH_PROPERTY_ID_WORK_GROUP_MEMORY = 3, ///< Implicit work group memory allocation
/// @cond
UR_EXP_LAUNCH_PROPERTY_ID_FORCE_UINT32 = 0x7fffffff
/// @endcond
Expand All @@ -9574,12 +9573,10 @@ typedef enum ur_exp_launch_property_id_t {
/// _Analogues_
/// - **CUlaunchAttributeValue**
typedef union ur_exp_launch_property_value_t {
uint32_t clusterDim[3]; ///< [in] dimensions of the cluster (units of work-group) (x, y, z). Each
///< value must be a divisor of the corresponding global work-size
///< dimension (in units of work-group).
int cooperative; ///< [in] non-zero value indicates a cooperative kernel
size_t workgroup_mem_size; ///< [in] non-zero value indicates the amount of work group memory to
///< allocate in bytes
uint32_t clusterDim[3]; ///< [in] dimensions of the cluster (units of work-group) (x, y, z). Each
///< value must be a divisor of the corresponding global work-size
///< dimension (in units of work-group).
int cooperative; ///< [in] non-zero value indicates a cooperative kernel

} ur_exp_launch_property_value_t;

Expand Down Expand Up @@ -9620,7 +9617,6 @@ typedef struct ur_exp_launch_property_t {
/// + NULL == hQueue
/// + NULL == hKernel
/// - ::UR_RESULT_ERROR_INVALID_NULL_POINTER
/// + `NULL == pGlobalWorkOffset`
/// + `NULL == pGlobalWorkSize`
/// + `NULL == launchPropList`
/// + NULL == pGlobalWorkSize
Expand Down Expand Up @@ -9649,8 +9645,6 @@ urEnqueueKernelLaunchCustomExp(
ur_kernel_handle_t hKernel, ///< [in] handle of the kernel object
uint32_t workDim, ///< [in] number of dimensions, from 1 to 3, to specify the global and
///< work-group work-items
const size_t *pGlobalWorkOffset, ///< [in] pointer to an array of workDim unsigned values that specify the
///< offset used to calculate the global ID of a work-item
const size_t *pGlobalWorkSize, ///< [in] pointer to an array of workDim unsigned values that specify the
///< number of global work-items in workDim that will execute the kernel
///< function
Expand Down Expand Up @@ -11560,7 +11554,6 @@ typedef struct ur_enqueue_kernel_launch_custom_exp_params_t {
ur_queue_handle_t *phQueue;
ur_kernel_handle_t *phKernel;
uint32_t *pworkDim;
const size_t **ppGlobalWorkOffset;
const size_t **ppGlobalWorkSize;
const size_t **ppLocalWorkSize;
uint32_t *pnumPropsInLaunchPropList;
Expand Down
1 change: 0 additions & 1 deletion include/ur_ddi.h
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Original file line number Diff line number Diff line change
Expand Up @@ -1467,7 +1467,6 @@ typedef ur_result_t(UR_APICALL *ur_pfnEnqueueKernelLaunchCustomExp_t)(
uint32_t,
const size_t *,
const size_t *,
const size_t *,
uint32_t,
const ur_exp_launch_property_t *,
uint32_t,
Expand Down
16 changes: 0 additions & 16 deletions include/ur_print.hpp
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Original file line number Diff line number Diff line change
Expand Up @@ -10397,9 +10397,6 @@ inline std::ostream &operator<<(std::ostream &os, enum ur_exp_launch_property_id
case UR_EXP_LAUNCH_PROPERTY_ID_CLUSTER_DIMENSION:
os << "UR_EXP_LAUNCH_PROPERTY_ID_CLUSTER_DIMENSION";
break;
case UR_EXP_LAUNCH_PROPERTY_ID_WORK_GROUP_MEMORY:
os << "UR_EXP_LAUNCH_PROPERTY_ID_WORK_GROUP_MEMORY";
break;
default:
os << "unknown enumerator";
break;
Expand Down Expand Up @@ -10436,13 +10433,6 @@ inline ur_result_t printUnion(

os << (params.cooperative);

break;
case UR_EXP_LAUNCH_PROPERTY_ID_WORK_GROUP_MEMORY:

os << ".workgroup_mem_size = ";

os << (params.workgroup_mem_size);

break;
default:
os << "<unknown>";
Expand Down Expand Up @@ -15110,12 +15100,6 @@ inline std::ostream &operator<<(std::ostream &os, [[maybe_unused]] const struct

os << *(params->pworkDim);

os << ", ";
os << ".pGlobalWorkOffset = ";

ur::details::printPtr(os,
*(params->ppGlobalWorkOffset));

os << ", ";
os << ".pGlobalWorkSize = ";

Expand Down
13 changes: 2 additions & 11 deletions scripts/core/exp-launch-properties.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -29,8 +29,6 @@ etors:
desc: "Whether to launch a cooperative kernel"
- name: CLUSTER_DIMENSION
desc: "work-group cluster dimensions"
- name: WORK_GROUP_MEMORY
desc: "Implicit work group memory allocation"
--- #--------------------------------------------------------------------------
type: union
desc: "Specifies a launch property value"
Expand All @@ -47,10 +45,6 @@ members:
name: cooperative
desc: "[in] non-zero value indicates a cooperative kernel"
tag: $X_EXP_LAUNCH_PROPERTY_ID_COOPERATIVE
- type: size_t
name: workgroup_mem_size
desc: "[in] non-zero value indicates the amount of work group memory to allocate in bytes"
tag: $X_EXP_LAUNCH_PROPERTY_ID_WORK_GROUP_MEMORY
--- #--------------------------------------------------------------------------
type: struct
desc: "Kernel launch property"
Expand Down Expand Up @@ -88,9 +82,6 @@ params:
- type: uint32_t
name: workDim
desc: "[in] number of dimensions, from 1 to 3, to specify the global and work-group work-items"
- type: "const size_t*"
name: pGlobalWorkOffset
desc: "[in] pointer to an array of workDim unsigned values that specify the offset used to calculate the global ID of a work-item"
- type: const size_t*
name: pGlobalWorkSize
desc: "[in] pointer to an array of workDim unsigned values that specify the number of global work-items in workDim that will execute the kernel function"
Expand All @@ -106,10 +97,10 @@ params:
- type: uint32_t
name: numEventsInWaitList
desc: "[in] size of the event wait list"
- type: const $x_event_handle_t*
- type: const ur_event_handle_t*
name: phEventWaitList
desc: "[in][optional][range(0, numEventsInWaitList)] pointer to a list of events that must be complete before the kernel execution. If nullptr, the numEventsInWaitList must be 0, indicating that no wait event. "
- type: $x_event_handle_t*
- type: ur_event_handle_t*
name: phEvent
desc: "[out][optional] return an event object that identifies this particular kernel execution instance. If phEventWaitList and phEvent are not NULL, phEvent must not refer to an element of the phEventWaitList array."
returns:
Expand Down
111 changes: 41 additions & 70 deletions source/adapters/cuda/enqueue.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -422,13 +422,11 @@ UR_APIEXPORT ur_result_t UR_APICALL urEnqueueEventsWait(
phEventWaitList, phEvent);
}

static ur_result_t
enqueueKernelLaunch(ur_queue_handle_t hQueue, ur_kernel_handle_t hKernel,
uint32_t workDim, const size_t *pGlobalWorkOffset,
const size_t *pGlobalWorkSize, const size_t *pLocalWorkSize,
uint32_t numEventsInWaitList,
const ur_event_handle_t *phEventWaitList,
ur_event_handle_t *phEvent, size_t WorkGroupMemory) {
UR_APIEXPORT ur_result_t UR_APICALL urEnqueueKernelLaunch(
ur_queue_handle_t hQueue, ur_kernel_handle_t hKernel, uint32_t workDim,
const size_t *pGlobalWorkOffset, const size_t *pGlobalWorkSize,
const size_t *pLocalWorkSize, uint32_t numEventsInWaitList,
const ur_event_handle_t *phEventWaitList, ur_event_handle_t *phEvent) {
// Preconditions
UR_ASSERT(hQueue->getDevice() == hKernel->getProgram()->getDevice(),
UR_RESULT_ERROR_INVALID_KERNEL);
Expand All @@ -446,9 +444,6 @@ enqueueKernelLaunch(ur_queue_handle_t hQueue, ur_kernel_handle_t hKernel,
size_t ThreadsPerBlock[3] = {32u, 1u, 1u};
size_t BlocksPerGrid[3] = {1u, 1u, 1u};

// Set work group memory so we can compute the whole memory requirement
if (WorkGroupMemory)
hKernel->setWorkGroupMemory(WorkGroupMemory);
uint32_t LocalSize = hKernel->getLocalSize();
CUfunction CuFunc = hKernel->get();

Expand Down Expand Up @@ -511,17 +506,6 @@ enqueueKernelLaunch(ur_queue_handle_t hQueue, ur_kernel_handle_t hKernel,
return UR_RESULT_SUCCESS;
}

UR_APIEXPORT ur_result_t UR_APICALL urEnqueueKernelLaunch(
ur_queue_handle_t hQueue, ur_kernel_handle_t hKernel, uint32_t workDim,
const size_t *pGlobalWorkOffset, const size_t *pGlobalWorkSize,
const size_t *pLocalWorkSize, uint32_t numEventsInWaitList,
const ur_event_handle_t *phEventWaitList, ur_event_handle_t *phEvent) {
return enqueueKernelLaunch(hQueue, hKernel, workDim, pGlobalWorkOffset,
pGlobalWorkSize, pLocalWorkSize,
numEventsInWaitList, phEventWaitList, phEvent,
/*WorkGroupMemory=*/0);
}

UR_APIEXPORT ur_result_t UR_APICALL urEnqueueCooperativeKernelLaunchExp(
ur_queue_handle_t hQueue, ur_kernel_handle_t hKernel, uint32_t workDim,
const size_t *pGlobalWorkOffset, const size_t *pGlobalWorkSize,
Expand All @@ -532,9 +516,8 @@ UR_APIEXPORT ur_result_t UR_APICALL urEnqueueCooperativeKernelLaunchExp(
coop_prop.id = UR_EXP_LAUNCH_PROPERTY_ID_COOPERATIVE;
coop_prop.value.cooperative = 1;
return urEnqueueKernelLaunchCustomExp(
hQueue, hKernel, workDim, pGlobalWorkOffset, pGlobalWorkSize,
pLocalWorkSize, 1, &coop_prop, numEventsInWaitList, phEventWaitList,
phEvent);
hQueue, hKernel, workDim, pGlobalWorkSize, pLocalWorkSize, 1,
&coop_prop, numEventsInWaitList, phEventWaitList, phEvent);
}
return urEnqueueKernelLaunch(hQueue, hKernel, workDim, pGlobalWorkOffset,
pGlobalWorkSize, pLocalWorkSize,
Expand All @@ -543,29 +526,16 @@ UR_APIEXPORT ur_result_t UR_APICALL urEnqueueCooperativeKernelLaunchExp(

UR_APIEXPORT ur_result_t UR_APICALL urEnqueueKernelLaunchCustomExp(
ur_queue_handle_t hQueue, ur_kernel_handle_t hKernel, uint32_t workDim,
const size_t *pGlobalWorkOffset, const size_t *pGlobalWorkSize,
const size_t *pLocalWorkSize, uint32_t numPropsInLaunchPropList,
const size_t *pGlobalWorkSize, const size_t *pLocalWorkSize,
uint32_t numPropsInLaunchPropList,
const ur_exp_launch_property_t *launchPropList,
uint32_t numEventsInWaitList, const ur_event_handle_t *phEventWaitList,
ur_event_handle_t *phEvent) {

size_t WorkGroupMemory = [&]() -> size_t {
const ur_exp_launch_property_t *WorkGroupMemoryProp = std::find_if(
launchPropList, launchPropList + numPropsInLaunchPropList,
[](const ur_exp_launch_property_t &Prop) {
return Prop.id == UR_EXP_LAUNCH_PROPERTY_ID_WORK_GROUP_MEMORY;
});
if (WorkGroupMemoryProp != launchPropList + numPropsInLaunchPropList)
return WorkGroupMemoryProp->value.workgroup_mem_size;
return 0;
}();

if (numPropsInLaunchPropList == 0 ||
(WorkGroupMemory && numPropsInLaunchPropList == 1)) {
return enqueueKernelLaunch(hQueue, hKernel, workDim, pGlobalWorkOffset,
pGlobalWorkSize, pLocalWorkSize,
numEventsInWaitList, phEventWaitList, phEvent,
WorkGroupMemory);
if (numPropsInLaunchPropList == 0) {
urEnqueueKernelLaunch(hQueue, hKernel, workDim, nullptr, pGlobalWorkSize,
pLocalWorkSize, numEventsInWaitList, phEventWaitList,
phEvent);
}
#if CUDA_VERSION >= 11080
// Preconditions
Expand All @@ -578,8 +548,7 @@ UR_APIEXPORT ur_result_t UR_APICALL urEnqueueKernelLaunchCustomExp(
return UR_RESULT_ERROR_INVALID_NULL_POINTER;
}

std::vector<CUlaunchAttribute> launch_attribute;
launch_attribute.reserve(numPropsInLaunchPropList);
std::vector<CUlaunchAttribute> launch_attribute(numPropsInLaunchPropList);

// Early exit for zero size kernel
if (*pGlobalWorkSize == 0) {
Expand All @@ -592,35 +561,40 @@ UR_APIEXPORT ur_result_t UR_APICALL urEnqueueKernelLaunchCustomExp(
size_t ThreadsPerBlock[3] = {32u, 1u, 1u};
size_t BlocksPerGrid[3] = {1u, 1u, 1u};

// Set work group memory so we can compute the whole memory requirement
if (WorkGroupMemory)
hKernel->setWorkGroupMemory(WorkGroupMemory);
uint32_t LocalSize = hKernel->getLocalSize();
CUfunction CuFunc = hKernel->get();

for (uint32_t i = 0; i < numPropsInLaunchPropList; i++) {
switch (launchPropList[i].id) {
case UR_EXP_LAUNCH_PROPERTY_ID_IGNORE: {
auto &attr = launch_attribute.emplace_back();
attr.id = CU_LAUNCH_ATTRIBUTE_IGNORE;
launch_attribute[i].id = CU_LAUNCH_ATTRIBUTE_IGNORE;
break;
}
case UR_EXP_LAUNCH_PROPERTY_ID_CLUSTER_DIMENSION: {
auto &attr = launch_attribute.emplace_back();
attr.id = CU_LAUNCH_ATTRIBUTE_CLUSTER_DIMENSION;

launch_attribute[i].id = CU_LAUNCH_ATTRIBUTE_CLUSTER_DIMENSION;
// Note that cuda orders from right to left wrt SYCL dimensional order.
if (workDim == 3) {
attr.value.clusterDim.x = launchPropList[i].value.clusterDim[2];
attr.value.clusterDim.y = launchPropList[i].value.clusterDim[1];
attr.value.clusterDim.z = launchPropList[i].value.clusterDim[0];
launch_attribute[i].value.clusterDim.x =
launchPropList[i].value.clusterDim[2];
launch_attribute[i].value.clusterDim.y =
launchPropList[i].value.clusterDim[1];
launch_attribute[i].value.clusterDim.z =
launchPropList[i].value.clusterDim[0];
} else if (workDim == 2) {
attr.value.clusterDim.x = launchPropList[i].value.clusterDim[1];
attr.value.clusterDim.y = launchPropList[i].value.clusterDim[0];
attr.value.clusterDim.z = launchPropList[i].value.clusterDim[2];
launch_attribute[i].value.clusterDim.x =
launchPropList[i].value.clusterDim[1];
launch_attribute[i].value.clusterDim.y =
launchPropList[i].value.clusterDim[0];
launch_attribute[i].value.clusterDim.z =
launchPropList[i].value.clusterDim[2];
} else {
attr.value.clusterDim.x = launchPropList[i].value.clusterDim[0];
attr.value.clusterDim.y = launchPropList[i].value.clusterDim[1];
attr.value.clusterDim.z = launchPropList[i].value.clusterDim[2];
launch_attribute[i].value.clusterDim.x =
launchPropList[i].value.clusterDim[0];
launch_attribute[i].value.clusterDim.y =
launchPropList[i].value.clusterDim[1];
launch_attribute[i].value.clusterDim.z =
launchPropList[i].value.clusterDim[2];
}

UR_CHECK_ERROR(cuFuncSetAttribute(
Expand All @@ -629,12 +603,9 @@ UR_APIEXPORT ur_result_t UR_APICALL urEnqueueKernelLaunchCustomExp(
break;
}
case UR_EXP_LAUNCH_PROPERTY_ID_COOPERATIVE: {
auto &attr = launch_attribute.emplace_back();
attr.id = CU_LAUNCH_ATTRIBUTE_COOPERATIVE;
attr.value.cooperative = launchPropList[i].value.cooperative;
break;
}
case UR_EXP_LAUNCH_PROPERTY_ID_WORK_GROUP_MEMORY: {
launch_attribute[i].id = CU_LAUNCH_ATTRIBUTE_COOPERATIVE;
launch_attribute[i].value.cooperative =
launchPropList[i].value.cooperative;
break;
}
default: {
Expand All @@ -647,8 +618,8 @@ UR_APIEXPORT ur_result_t UR_APICALL urEnqueueKernelLaunchCustomExp(
// using the standard UR_CHECK_ERROR
if (ur_result_t Ret =
setKernelParams(hQueue->getContext(), hQueue->Device, workDim,
pGlobalWorkOffset, pGlobalWorkSize, pLocalWorkSize,
hKernel, CuFunc, ThreadsPerBlock, BlocksPerGrid);
nullptr, pGlobalWorkSize, pLocalWorkSize, hKernel,
CuFunc, ThreadsPerBlock, BlocksPerGrid);
Ret != UR_RESULT_SUCCESS)
return Ret;

Expand Down Expand Up @@ -696,7 +667,7 @@ UR_APIEXPORT ur_result_t UR_APICALL urEnqueueKernelLaunchCustomExp(
launch_config.sharedMemBytes = LocalSize;
launch_config.hStream = CuStream;
launch_config.attrs = &launch_attribute[0];
launch_config.numAttrs = launch_attribute.size();
launch_config.numAttrs = numPropsInLaunchPropList;

UR_CHECK_ERROR(cuLaunchKernelEx(&launch_config, CuFunc,
const_cast<void **>(ArgIndices.data()),
Expand Down
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