wehub-resource-sync
87 lines
2.8 KiB
Python
87 lines
2.8 KiB
Python
"""API wrapping HugeCTR gpu_cache."""
|
|
# Copyright (c) 2022, NVIDIA Corporation
|
|
# 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.
|
|
#
|
|
# @file gpu_cache.py
|
|
# @brief API for managing a GPU Cache
|
|
|
|
from .. import backend as F
|
|
from .._ffi.function import _init_api
|
|
|
|
|
|
class GPUCache(object):
|
|
"""High-level wrapper for GPU embedding cache"""
|
|
|
|
def __init__(self, num_items, num_feats, idtype=F.int64):
|
|
assert idtype in [F.int32, F.int64]
|
|
self._cache = _CAPI_DGLGpuCacheCreate(
|
|
num_items, num_feats, 32 if idtype == F.int32 else 64
|
|
)
|
|
self.idtype = idtype
|
|
self.total_miss = 0
|
|
self.total_queries = 0
|
|
|
|
def query(self, keys):
|
|
"""Queries the GPU cache.
|
|
|
|
Parameters
|
|
----------
|
|
keys : Tensor
|
|
The keys to query the GPU cache with.
|
|
|
|
Returns
|
|
-------
|
|
tuple(Tensor, Tensor, Tensor)
|
|
A tuple containing (values, missing_indices, missing_keys) where
|
|
values[missing_indices] corresponds to cache misses that should be
|
|
filled by quering another source with missing_keys.
|
|
"""
|
|
self.total_queries += keys.shape[0]
|
|
keys = F.astype(keys, self.idtype)
|
|
values, missing_index, missing_keys = _CAPI_DGLGpuCacheQuery(
|
|
self._cache, F.to_dgl_nd(keys)
|
|
)
|
|
self.total_miss += missing_keys.shape[0]
|
|
return (
|
|
F.from_dgl_nd(values),
|
|
F.from_dgl_nd(missing_index),
|
|
F.from_dgl_nd(missing_keys),
|
|
)
|
|
|
|
def replace(self, keys, values):
|
|
"""Inserts key-value pairs into the GPU cache using the Least-Recently
|
|
Used (LRU) algorithm to remove old key-value pairs if it is full.
|
|
|
|
Parameters
|
|
----------
|
|
keys: Tensor
|
|
The keys to insert to the GPU cache.
|
|
values: Tensor
|
|
The values to insert to the GPU cache.
|
|
"""
|
|
keys = F.astype(keys, self.idtype)
|
|
values = F.astype(values, F.float32)
|
|
_CAPI_DGLGpuCacheReplace(
|
|
self._cache, F.to_dgl_nd(keys), F.to_dgl_nd(values)
|
|
)
|
|
|
|
@property
|
|
def miss_rate(self):
|
|
"""Returns the cache miss rate since creation."""
|
|
return self.total_miss / self.total_queries
|
|
|
|
|
|
_init_api("dgl.cuda", __name__)
|