Leo Chen
4 years ago
committed by
GitHub
parent
ebef6601d5
commit
81138239db
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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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#include "paddle/fluid/memory/allocation/npu_allocator.h"
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#include <string>
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#include "paddle/fluid/platform/enforce.h"
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#include "paddle/fluid/platform/npu_info.h"
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namespace paddle {
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namespace memory {
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namespace allocation {
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bool NPUAllocator::IsAllocThreadSafe() const { return true; }
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void NPUAllocator::FreeImpl(Allocation* allocation) {
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PADDLE_ENFORCE_EQ(
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BOOST_GET_CONST(platform::NPUPlace, allocation->place()), place_,
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platform::errors::PermissionDenied(
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"NPU memory is freed in incorrect device. This may be a bug"));
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platform::RecordedNPUFree(allocation->ptr(), allocation->size(),
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place_.device);
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delete allocation;
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}
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Allocation* NPUAllocator::AllocateImpl(size_t size) {
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std::call_once(once_flag_,
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[this] { platform::SetNPUDeviceId(place_.device); });
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void* ptr;
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auto result = platform::RecordedNPUMalloc(&ptr, size, place_.device);
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if (LIKELY(result == ACL_ERROR_NONE)) {
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return new Allocation(ptr, size, platform::Place(place_));
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}
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size_t avail, total, actual_avail, actual_total;
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bool is_limited = platform::RecordedNPUMemGetInfo(
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&avail, &total, &actual_avail, &actual_total, place_.device);
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std::string err_msg;
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if (is_limited) {
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auto limit_size = (total >> 20);
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err_msg = string::Sprintf(
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"Or set environment variable `FLAGS_gpu_memory_limit_mb` to a larger "
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"value. Currently `FLAGS_gpu_memory_limit_mb` is %d, so the maximum "
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"GPU memory usage is limited to %d MB.\n"
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" The command is `export FLAGS_gpu_memory_limit_mb=xxx`.",
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limit_size, limit_size);
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}
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PADDLE_THROW_BAD_ALLOC(platform::errors::ResourceExhausted(
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"\n\nOut of memory error on NPU %d. "
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"Cannot allocate %s memory on NPU %d, "
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"available memory is only %s.\n\n"
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"Please check whether there is any other process using NPU %d.\n"
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"1. If yes, please stop them, or start PaddlePaddle on another NPU.\n"
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"2. If no, please decrease the batch size of your model. %s\n\n",
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place_.device, string::HumanReadableSize(size), place_.device,
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string::HumanReadableSize(avail), place_.device, err_msg));
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}
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} // namespace allocation
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} // namespace memory
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} // namespace paddle
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@ -0,0 +1,41 @@
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include <mutex> // NOLINT
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#include "paddle/fluid/memory/allocation/allocator.h"
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#include "paddle/fluid/platform/place.h"
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namespace paddle {
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namespace memory {
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namespace allocation {
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class NPUAllocator : public Allocator {
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public:
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explicit NPUAllocator(const platform::NPUPlace& place) : place_(place) {}
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bool IsAllocThreadSafe() const override;
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protected:
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void FreeImpl(Allocation* allocation) override;
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Allocation* AllocateImpl(size_t size) override;
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private:
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platform::NPUPlace place_;
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std::once_flag once_flag_;
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};
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} // namespace allocation
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} // namespace memory
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} // namespace paddle
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