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fix: avoid additional array allocation in host to device transfer #2966

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@Alexandr-Solovev Alexandr-Solovev commented Nov 4, 2024

Description

PR introduces fix for memcpy function in oneDAL. It saves memory and improve the performance of transferring data from host to device and back and gives an opportunity to use memcpy directly.


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/intelci: run

@Alexandr-Solovev Alexandr-Solovev changed the title avoid additional array fix: avoid additional array allocation in host to device transfer Nov 5, 2024
@Alexandr-Solovev Alexandr-Solovev marked this pull request as ready for review November 5, 2024 07:39
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Looks like #2375 was just missing the wait_and_throw() :(

@Alexandr-Solovev Alexandr-Solovev changed the title fix: avoid additional array allocation in host to device transfer DO NOT MERGE fix: avoid additional array allocation in host to device transfer Nov 5, 2024
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Please dont merge, until the additional check on local machines

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Looks like #2375 was just missing the wait_and_throw() :(

not sure, looks like in all places where the function is called there is additional wait_and_throw()

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/intelci: run

@Alexandr-Solovev Alexandr-Solovev marked this pull request as draft November 20, 2024 12:42
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/intelci: run

@Alexandr-Solovev Alexandr-Solovev marked this pull request as ready for review November 21, 2024 08:10
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/intelci: run

@Alexandr-Solovev Alexandr-Solovev changed the title DO NOT MERGE fix: avoid additional array allocation in host to device transfer fix: avoid additional array allocation in host to device transfer Nov 21, 2024
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Made comments help to me understand. Would it be worth just adding some? Otherwise good to go by me (if my comments in the review are correct)

@@ -130,33 +130,20 @@ static void pull_row_major_impl(const Policy& policy,

auto src_data = origin_data.get_data() + origin_offset * origin_dtype_size;
auto dst_data = block_data.get_mutable_data();

if (block_info.get_column_count() > 1) {
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Just because I am not familiar, it looks like just removing the if and relying on the for loop (a simplification here).

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yes!

dal::detail::check_mul_overflow(src_element_size_in_bytes, element_count);
const std::int64_t src_stride_in_bytes =
dal::detail::check_mul_overflow(src_element_size_in_bytes, src_stride);
if (src_type == dst_type && src_size_in_bytes == dst_size_in_bytes &&
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If allocation exists, skip the convert_convert vector and uses memcpy_host2usm

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The issue, that when we copy from host to device in different data types(float on host and allocated on device in double), we still just copy bytes, and in the scenario of usage different data types it makes sense to use strides

@@ -227,33 +227,50 @@ sycl::event convert_vector_device2host(sycl::queue& q,
// To perform conversion, we gather data from device to host in temporary
// contigious array and then run host conversion function

const std::int64_t element_size_in_bytes = dal::detail::get_data_type_size(src_type);
const std::int64_t dst_element_size_in_bytes = dal::detail::get_data_type_size(dst_type);
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collect more information about the destination to see if a shortcut can be used.

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Exactly!

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@samir-nasibli samir-nasibli left a comment

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Indeed good suggestion! Thank you @Alexandr-Solovev
Could you please share perf improvements?

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/intelci: run

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Are you still seeing seg faults when experimenting locally or has this issue been resolved?

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/intelci: run

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