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launch.h
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/*
* Copyright Codeplay Software Ltd
*
* 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.
*/
#ifndef PORTDNN_INCLUDE_REDUCE_LAUNCH_H_
#define PORTDNN_INCLUDE_REDUCE_LAUNCH_H_
/**
* \file
* Implements the \ref sycldnn::reduce::launch() function, which asynchronously
* dispatches the SYCL kernels required to perform reductions.
*/
#include <type_traits>
#include "portdnn/backend/backend_helpers.h"
#include "portdnn/mem_object.h"
#include "portdnn/status.h"
#include "portdnn/internal/helpers/types.h"
#include "portdnn/internal/reduce/launch.h"
#include "portdnn/reduce/operators.h"
namespace sycldnn {
namespace reduce {
/**
* Launch a reduction of [batch, outer, inner] applying Op on the outer
* dimension. The output shape is [batch, inner].
*
* \tparam Op Operation to apply on the reduced dimension
* \param input A pointer to the memory representing the input tensor.
* \param output A pointer to the memory representing the output tensor.
* \param batches The number of batches. Must be a positive value.
* \param outer Outer size. This is the dimension that is always reduced. Must
* be a positive value.
* \param inner Inner size. Must be a positive value.
* \param backend The backend implementation, used to map between pointer
* representations.
* \return Returns an SNNStatus containing the SYCL event tied to the kernel
* launches and a StatusCode enum showing if the launch was OK or
* whether it encountered some problem.
*/
template <typename T, typename Op, typename Backend,
typename = typename std::enable_if<
sycldnn::backend::is_buffer_backend_v<Backend>>::type>
SNNStatus launch(typename Backend::template pointer_type<T const> input,
typename Backend::template pointer_type<T> output, int batches,
int outer, int inner, Backend& backend) {
return internal::sublaunch<T, Op, Backend>(input, output, batches, outer,
inner, backend, {});
}
/**
* Launch a reduction of [batch, outer, inner] applying Op on the outer
* dimension. The output shape is [batch, inner].
*
* \tparam Op Operation to apply on the reduced dimension
* \param input A pointer to the memory representing the input tensor.
* \param output A pointer to the memory representing the output tensor.
* \param batches The number of batches. Must be a positive value.
* \param outer Outer size. This is the dimension that is always reduced. Must
* be a positive value.
* \param inner Inner size. Must be a positive value.
* \param backend The backend implementation, used to map between pointer
* representations.
* \param events Events which should be completed before the operation
* \return Returns an SNNStatus containing the SYCL event tied to the kernel
* launches and a StatusCode enum showing if the launch was OK or
* whether it encountered some problem.
*/
template <typename T, typename Op, typename Backend,
typename = typename std::enable_if<
sycldnn::backend::is_usm_backend_v<Backend>>::type>
SNNStatus launch(typename Backend::template pointer_type<T const> input,
typename Backend::template pointer_type<T> output, int batches,
int outer, int inner, Backend& backend,
const std::vector<cl::sycl::event>& events = {}) {
return internal::sublaunch<T, Op, Backend>(input, output, batches, outer,
inner, backend, events);
}
} // namespace reduce
} // namespace sycldnn
#endif // PORTDNN_INCLUDE_REDUCE_LAUNCH_H_