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docs/en/docs/img/deployment/concepts/process-ram.svg
process-ram.svg...
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_RAM_FILE_BLOCK_CACHE_H_ #define TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_RAM_FILE_BLOCK_CACHE_H_ #include <functional> #include <iostream> #include <list> #include <map> #include <memory> #include <string> #include <vector>
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docs/en/docs/img/deployment/concepts/process-ram.drawio
<mxGeometry x="1110" y="410" width="190" height="500" as="geometry"/> </mxCell> <mxCell id="7" value="<font style="font-size: 24px" face="Roboto">RAM<br></font>" style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;strokeWidth=3;fontFamily=Roboto Mono, mono;FType=g;" parent="1" vertex="1">
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #include "tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h" #include <cstring> #include <memory> #include <sstream> #include <utility> #include "absl/synchronization/mutex.h" #include "tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h"
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tensorflow/c/experimental/filesystem/plugins/gcs/BUILD
deps = [ "//tensorflow/c:env", ], ) cc_library( name = "cleanup", hdrs = ["cleanup.h"], ) cc_library( name = "ram_file_block_cache", srcs = ["ram_file_block_cache.cc"], hdrs = ["ram_file_block_cache.h"], deps = [ ":cleanup", "//tensorflow/c:env", "//tensorflow/c:logging", "//tensorflow/c:tf_status",
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docs/de/docs/deployment/concepts.md
Und wenn Ihr entfernter Server oder Ihre virtuelle Maschine nur über 3 GB RAM verfügt, führt der Versuch, mehr als 4 GB RAM zu laden, zu Problemen. 🚨 ### Mehrere Prozesse – Ein Beispiel
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docs/pt/docs/deployment/https.md
## Let's Encrypt Antes de Let's Encrypt, esses certificados HTTPS eram vendidos por terceiros confiáveis. O processo de aquisição de um desses certificados costumava ser complicado, exigia bastante papelada e os certificados eram bastante caros. Mas então <a href="https://letsencrypt.org/" class="external-link" target="_blank">Let's Encrypt</a> foi criado.
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src/main/resources/fess_indices/fess/ro/stopwords.txt
cu cum cumva curând curînd da dă dacă dar datorită de deci deja deoarece departe deşi din dinaintea dintr dintre drept după ea ei el ele eram este eşti eu face fără fi fie fiecare fii fim fiţi iar ieri îi îl îmi împotriva în înainte înaintea încât încît încotro între
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docs/en/docs/deployment/concepts.md
And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨 ### Multiple Processes - An Example
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docs/ja/docs/deployment/concepts.md
そして複数のプロセスは通常、**メモリを共有しません**。これは、実行中の各プロセスがそれぞれ独自の変数やメモリ等を持っていることを意味します。つまり、コード内で大量のメモリを消費している場合、**各プロセス**は同等の量のメモリを消費することになります。 ### サーバーメモリー 例えば、あなたのコードが **1GBのサイズの機械学習モデル**をロードする場合、APIで1つのプロセスを実行すると、少なくとも1GBのRAMを消費します。 また、**4つのプロセス**(4つのワーカー)を起動すると、それぞれが1GBのRAMを消費します。つまり、合計でAPIは**4GBのRAM**を消費することになります。 リモートサーバーや仮想マシンのRAMが3GBしかない場合、4GB以上のRAMをロードしようとすると問題が発生します。🚨
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