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Add code change workaround for 64-bit reduce_by_segment bug #1791
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Filling the SYCL private memory array with the identity prior to loading data works around the encountered IGC bug. No real performance impact can be measured with this change. The current macro workaround is also removed Signed-off-by: Matthew Michel <[email protected]>
Signed-off-by: Matthew Michel <[email protected]>
// TODO: Remove this initialization to the identity when possible. We load real data to __loc_partials | ||
// in the first loop below but this initialization to the identity works around an IGC register | ||
// filling bug. | ||
std::array<__val_type, __vals_per_item> __loc_partials = {__identity}; |
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Is this meant to fill the array with the identity value? Because I believe as it is currently written, only the first value in the array would be populated and the rest will be uninitialized. If the intent is for all of the elements to be the identity, then this can be written as:
std::array<__val_type, __vals_per_item> __loc_partials = {__identity}; | |
std::array<__val_type, __vals_per_item> __loc_partials; | |
std::fill(__loc_partials.begin(), __loc_partials.end(), __identity); |
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Thanks, it looks like the rest of the elements may be initialized to 0: https://en.cppreference.com/w/c/language/array_initialization.
The way the fix was implemented still worked since it does not matter what is loaded into the array as long as it's something. However, I switched to your suggestion to be consistent.
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Filling the array after its definition seems to reintroduce the bug. I will see if I can find a better solution. I suppose what we originally had adds a default constructability requirement we do not want.
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I have reverted the change I made here. My last statement is wrong, the default constructor for each array element is already called when we declare the array, so we are not adding any additional requirements.
I have explored some different ways to try to workaround the issue, but this seems to be the only thing that works. I've confirmed that register filling bug is avoided as our tests pass along with internal reproducers where the issue was reported.
Signed-off-by: Matthew Michel <[email protected]>
@@ -351,7 +351,12 @@ __sycl_reduce_by_segment(__internal::__hetero_tag<_BackendTag>, _ExecutionPolicy | |||
__seg_reduce_wg_kernel, | |||
#endif | |||
sycl::nd_range<1>{__n_groups * __wgroup_size, __wgroup_size}, [=](sycl::nd_item<1> __item) { | |||
::std::array<__val_type, __vals_per_item> __loc_partials; | |||
auto __identity = unseq_backend::__known_identity<_BinaryOperator, __val_type>; |
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Let's use __val_type
instead of auto
- it's will more readable, I think.
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Done
…irst" I decided to keep this solution as it does not add any additional requirements as I first thought. It looks strange, as the first element of the array is set to the identity while the others are default constructed. However, this results in IGC avoiding its own bug internally. This reverts commit 3e08d9d.
Signed-off-by: Matthew Michel <[email protected]>
Thank you for the reviews so far in this PR. I am closing it in favor of #1915. The entire If for any reason we still need this fix, I can re-open in the future. |
There is an IGC bug that affects
reduce_by_segment
with 64-bit types on GPU Series Max devices which has previously required us to provide theONEDPL_WORKAROUND_FOR_IGPU_64BIT_REDUCTION
macro workaround. This workaround invokes the legacy implementation which is around ~3x slower but produces correct results.The IGC bug still exists, but I have a found a workaround with negligible performance impact within our
reduce_by_segment
implementation. This enables users to invoke the fasterreduce_by_segment
implementation without correctness issues.By first initializing the private memory arrays to the known identity element prior to loading real data into some of the array indices, the register filling bug is avoided. I have verified with oneDPL tests (which previously caught this issue) and with external tests.
I have also removed the macro workaround and additional test.
I've collected information on the performance impact which is negligible. Feel free to request if you would like to see it.