wehub-resource-sync
39 lines
1.7 KiB
C++
39 lines
1.7 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// 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.
|
|
|
|
#pragma once
|
|
#include "paddle/common/macros.h"
|
|
namespace phi {
|
|
namespace backends {
|
|
namespace gpu {
|
|
|
|
#define CUDNN_ENFORCE_TENSOR_SIZE_SUPPORTED(tensor) \
|
|
do { \
|
|
int64_t largest = (1LL << 31) - 1; \
|
|
PADDLE_ENFORCE_LE( \
|
|
tensor.numel(), \
|
|
largest, \
|
|
::common::errors::PreconditionNotMet( \
|
|
"The element size of " #tensor " should be <= INT_MAX(2147483647)" \
|
|
", but got %lld", \
|
|
tensor.numel())); \
|
|
} while (0)
|
|
|
|
static constexpr int kDefaultConvWorkspaceSizeLimitMB = 512;
|
|
|
|
PADDLE_API int GetDefaultConvWorkspaceSizeLimitMB();
|
|
} // namespace gpu
|
|
} // namespace backends
|
|
} // namespace phi
|