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tensorflow/c/eager/c_api.cc
TF_Status status; // Let this custom device choose the device to pin this op on if it // implements the pinning function. if (device_.shall_pin_to_this_device != nullptr) { return device_.shall_pin_to_this_device(tensorflow::wrap(op), &status); } return errors::Unimplemented("No custom device pinning implementation."); } private: TFE_Context* context_;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
RELEASE.md
* `tf.math` * `tf.nn.top_k` now supports specifying the output index type via parameter `index_type`. Supported types are `tf.int16`, `tf.int32` (default), and `tf.int64`.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
ci/official/containers/linux_arm64/builder.devtoolset/stringop_trunc.patch
- __extension__ __STRING2_SMALL_GET32 (src, 0), \ - __extension__ __STRING2_SMALL_GET32 (src, 4) -# endif -__STRING_INLINE char *__strcpy_small (char *, __uint16_t, __uint16_t, - __uint32_t, __uint32_t, size_t); __STRING_INLINE char * __strcpy_small (char *__dest, __uint16_t __src0_2, __uint16_t __src4_2, @@ -482,42 +257,6 @@ __strcpy_small (char *__dest, return __dest;
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 42.9K bytes - Viewed (1) -
tensorflow/c/experimental/gradients/BUILD
":not_differentiable", "//tensorflow/c/eager:abstract_context", "//tensorflow/c/eager:gradients_internal", ], ) tf_cuda_cc_test( name = "custom_gradient_test", size = "small", srcs = [ "custom_gradient_test.cc", ], args = ["--heap_check="], # TODO(b/174752220): Remove tags = tf_cuda_tests_tags(), deps = [ "//tensorflow/c:tf_status_helper",
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tensorflow/c/experimental/filesystem/plugins/gcs/BUILD
"//tensorflow/c:tf_status", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", ], ) tf_cc_test( name = "ram_file_block_cache_test", size = "small", srcs = ["ram_file_block_cache_test.cc"], deps = [ ":ram_file_block_cache", "//tensorflow/c:tf_status_internal", "//tensorflow/core:lib", "//tensorflow/core:test",
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 27 18:00:18 GMT 2024 - 3.4K bytes - Viewed (0) -
.bazelrc
build:windows --cxxopt=/std:c++17 build:windows --host_cxxopt=/std:c++17 # On windows, we still link everything into a single DLL. build:windows --config=monolithic # On linux, we dynamically link small amount of kernels build:linux --config=dynamic_kernels # Make sure to include as little of windows.h as possible build:windows --copt=-DWIN32_LEAN_AND_MEAN build:windows --host_copt=-DWIN32_LEAN_AND_MEAN
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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) -
tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.h
bool compose; absl::Mutex block_cache_lock; std::shared_ptr<RamFileBlockCache> file_block_cache ABSL_GUARDED_BY(block_cache_lock); uint64_t block_size; // Reads smaller than block_size will trigger a read // of block_size. std::unique_ptr<ExpiringLRUCache<GcsFileStat>> stat_cache; GCSFile(google::cloud::storage::Client&& gcs_client);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:37:41 GMT 2020 - 5.2K bytes - Viewed (0) -
README.md
Windows)*: ``` $ pip install tensorflow ``` Other devices (DirectX and MacOS-metal) are supported using [Device plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices). A smaller CPU-only package is also available: ``` $ pip install tensorflow-cpu ``` To update TensorFlow to the latest version, add `--upgrade` flag to the above commands.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Oct 05 15:00:10 GMT 2023 - 11.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.cc
std::move(maybe_typed_outputs.value())); if (typed_outputs.size() > *num_outputs) { TF_SetStatus(status, TF_INTERNAL, "The allocated output buffer was too small."); return; } for (int i = 0; i < typed_outputs.size(); ++i) { MaybeParallelTensorOwned typed_output(std::move(typed_outputs[i])); if (absl::holds_alternative<TensorHandlePtr>(typed_output)) {
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