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| Original file line number | Diff line number | Diff line change |
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| /* | ||
| * Copyright (c) 2024, NVIDIA CORPORATION. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
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| #pragma once | ||
|
|
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| #include <cudf/detail/utilities/cuda_memcpy.hpp> | ||
| #include <cudf/detail/utilities/host_vector.hpp> | ||
| #include <cudf/detail/utilities/vector_factories.hpp> | ||
|
|
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| #include <rmm/cuda_stream_view.hpp> | ||
| #include <rmm/device_scalar.hpp> | ||
| #include <rmm/resource_ref.hpp> | ||
|
|
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| namespace CUDF_EXPORT cudf { | ||
| namespace detail { | ||
|
|
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| template <typename T> | ||
| class device_scalar : public rmm::device_scalar<T> { | ||
| public: | ||
| #ifdef __CUDACC__ | ||
| #pragma nv_exec_check_disable | ||
| #endif | ||
| ~device_scalar() = default; | ||
|
|
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| // Implementation is the same as what compiler should generate | ||
| // Could not use default move constructor as 11.8 compiler fails to generate it | ||
| #ifdef __CUDACC__ | ||
| #pragma nv_exec_check_disable | ||
| #endif | ||
| device_scalar(device_scalar&& other) noexcept | ||
| : rmm::device_scalar<T>{std::move(other)}, bounce_buffer{std::move(other.bounce_buffer)} | ||
| { | ||
| } | ||
| device_scalar& operator=(device_scalar&&) noexcept = default; | ||
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| device_scalar(device_scalar const&) = delete; | ||
| device_scalar& operator=(device_scalar const&) = delete; | ||
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| device_scalar() = delete; | ||
|
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| explicit device_scalar( | ||
| rmm::cuda_stream_view stream, | ||
| rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref()) | ||
| : rmm::device_scalar<T>(stream, mr), bounce_buffer{make_host_vector<T>(1, stream)} | ||
| { | ||
| } | ||
|
|
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| explicit device_scalar( | ||
| T const& initial_value, | ||
| rmm::cuda_stream_view stream, | ||
| rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref()) | ||
| : rmm::device_scalar<T>(stream, mr), bounce_buffer{make_host_vector<T>(1, stream)} | ||
| { | ||
| bounce_buffer[0] = initial_value; | ||
| cuda_memcpy_async<T>(device_span<T>{this->data(), 1}, bounce_buffer, stream); | ||
| } | ||
|
|
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| device_scalar(device_scalar const& other, | ||
| rmm::cuda_stream_view stream, | ||
| rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref()) | ||
| : rmm::device_scalar<T>(other, stream, mr), bounce_buffer{make_host_vector<T>(1, stream)} | ||
| { | ||
| } | ||
|
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| [[nodiscard]] T value(rmm::cuda_stream_view stream) const | ||
| { | ||
| cuda_memcpy<T>(bounce_buffer, device_span<T const>{this->data(), 1}, stream); | ||
| return bounce_buffer[0]; | ||
| } | ||
|
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| void set_value_async(T const& value, rmm::cuda_stream_view stream) | ||
| { | ||
| bounce_buffer[0] = value; | ||
| cuda_memcpy_async<T>(device_span<T>{this->data(), 1}, bounce_buffer, stream); | ||
| } | ||
|
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| void set_value_async(T&& value, rmm::cuda_stream_view stream) | ||
| { | ||
| bounce_buffer[0] = std::move(value); | ||
| cuda_memcpy_async<T>(device_span<T>{this->data(), 1}, bounce_buffer, stream); | ||
| } | ||
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| void set_value_to_zero_async(rmm::cuda_stream_view stream) { set_value_async(T{}, stream); } | ||
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| private: | ||
| mutable cudf::detail::host_vector<T> bounce_buffer; | ||
| }; | ||
|
|
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| } // namespace detail | ||
| } // namespace CUDF_EXPORT cudf |
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