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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
status = env_->NewRandomAccessFile(filepath, &read_file); if (!status.ok()) GTEST_SKIP() << "NewRandomAccessFile() not supported: " << status; char scratch[64 /* must be bigger than test_data */] = {0}; StringPiece result; // read at least 1 byte more than test_data status = read_file->Read(0, test_data.size() + 1, &result, scratch);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 20:25:58 GMT 2022 - 71K bytes - Viewed (0) -
.github/bot_config.yml
----------------------------------------------------------------------------------------------- **2. Installing **TensorFlow** (TF) CPU prebuilt binaries** *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.* Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
tensorflow/BUILD
define_values = {"__TENSORFLOW_NO_LGPL_DEPS__": "1"}, visibility = ["//visibility:public"], ) # Config setting that disables the default logger, only logging # to registered TFLogSinks config_setting( name = "no_default_logger", define_values = {"no_default_logger": "true"}, visibility = ["//visibility:public"], ) config_setting( name = "force_rtti", define_values = {
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 09 18:15:11 GMT 2024 - 53.4K bytes - Viewed (8) -
tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
return -1; } int64_t read; auto content_length = stream.headers().find("content-length"); if (content_length == stream.headers().end()) { // When we read a file with offset that is bigger than the actual file size. // GCS will return an empty header (e.g no `content-length` header). In this // case, we will set read to `0` and continue. read = 0;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 23 06:55:53 GMT 2023 - 46.9K bytes - Viewed (0) -
RELEASE.md
control the initial parallelism setting used by autotune before the data pipeline has started running. The default is 16. A lower value reduces initial memory usage, while a higher value improves startup time. ## Keras * `keras.layers.experimental.DynamicEmbedding` * Added `DynamicEmbedding` Keras layer * Added 'UpdateEmbeddingCallback`
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configure.py
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1)