98 lines
3.3 KiB
C++
98 lines
3.3 KiB
C++
/* Copyright 2019-2021 Canaan Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#pragma once
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#include "runtime_tensor_impl.h"
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#include "shared_runtime_tensor.h"
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BEGIN_NS_NNCASE_RUNTIME
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namespace detail
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{
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enum class cache_status_t
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{
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valid,
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need_invalidate,
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need_write_back
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};
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struct host_memory_block
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{
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host_runtime_tensor::memory_pool_t pool;
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uintptr_t virtual_address;
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size_t size_bytes;
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host_runtime_tensor::data_deleter_t deleter;
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cache_status_t cache_status;
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physical_memory_block physical_block;
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host_memory_block() = default;
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host_memory_block(const host_memory_block &) = delete;
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host_memory_block(host_memory_block &&other) noexcept;
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host_memory_block &operator=(const host_memory_block &) = delete;
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host_memory_block &operator=(host_memory_block &&other) noexcept;
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~host_memory_block()
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{
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free();
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}
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void free()
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{
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if (auto d = std::move(deleter))
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d(reinterpret_cast<gsl::byte *>(virtual_address));
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deleter = {};
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physical_block.free(*this);
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}
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gsl::span<gsl::byte> virtual_buffer() const noexcept
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{
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return { reinterpret_cast<gsl::byte *>(virtual_address), size_bytes };
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}
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};
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class NNCASE_API host_runtime_tensor_impl : public runtime_tensor_impl
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{
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public:
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host_runtime_tensor_impl(datatype_t datatype, runtime_shape_t shape, runtime_shape_t strides, host_memory_block memory_block);
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datatype_t datatype() const noexcept override;
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const runtime_shape_t &shape() const noexcept override;
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const runtime_shape_t &strides() const noexcept override;
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runtime_tensor_type &tensor_type() const noexcept override;
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bool can_copy_from_different_type(const runtime_tensor_impl &src) const noexcept override;
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bool can_copy_to_different_type(const runtime_tensor_impl &dest) const noexcept override;
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result<void> copy_to_same_type(runtime_tensor_impl &dest) noexcept override;
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result<void> copy_from_different_type(runtime_tensor_impl &src) noexcept override;
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result<void> copy_to_different_type(runtime_tensor_impl &dest) noexcept override;
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result<void> copy_from_host(runtime_tensor_impl &src) noexcept override;
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result<void> copy_to_host(runtime_tensor_impl &dest) noexcept override;
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result<host_runtime_tensor::mapped_buffer> map(host_runtime_tensor::map_access_t access) noexcept;
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result<void> unmap(host_runtime_tensor::map_access_t access) noexcept;
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result<void> sync(host_runtime_tensor::sync_op_t op, bool force = false) noexcept;
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const host_memory_block &memory_block() const noexcept { return memory_block_; }
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host_memory_block &memory_block() noexcept { return memory_block_; }
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private:
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datatype_t datatype_;
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runtime_shape_t shape_;
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runtime_shape_t strides_;
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host_memory_block memory_block_;
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};
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}
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END_NS_NNCASE_RUNTIME
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