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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache_test.cc
TEST(ExpiringLRUCacheTest, LookupOrCompute) { // max_age of 0 means we should always compute. uint64 num_compute_calls = 0; tf_gcs_filesystem::ExpiringLRUCache<int>::ComputeFunc compute_func = [&num_compute_calls](const string& key, int* value, TF_Status* status) { *value = num_compute_calls; num_compute_calls++; return TF_SetStatus(status, TF_OK, ""); };
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 19:31:22 GMT 2020 - 7.1K bytes - Viewed (0) -
tensorflow/c/eager/tfe_context_internal.h
// Wraps a pointer to a context implementation. // // WARNING: Since the underlying object could be ref-counted a user of this // interface cannot destruct the underlying context object. Instead, call // TFE_DeleteContext who calls Release() on the context pointer and deletes // the TFE_Context structure. typedef struct TFE_Context TFE_Context; namespace tensorflow { DEFINE_CONVERSION_FUNCTIONS(tensorflow::ImmediateExecutionContext, TFE_Context);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jun 17 19:39:13 GMT 2020 - 1.4K bytes - Viewed (0) -
ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
If weak aliases are not available, this defines a strong alias. */ # define weak_alias(name, aliasname) _weak_alias (name, aliasname) # define _weak_alias(name, aliasname) \ - extern __typeof (name) aliasname __attribute__ ((weak, alias (#name))); + extern __typeof (name) aliasname __attribute__ ((weak, alias (#name))) \ + __attribute_copy__ (name); /* Same as WEAK_ALIAS, but mark symbol as hidden. */
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 8.9K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
limitations under the License. ==============================================================================*/ // MakeCleanup(f) returns an RAII cleanup object that calls 'f' in its // destructor. The easiest way to use MakeCleanup is with a lambda argument, // capturing the return value in an 'auto' local variable. Most users will not // need more sophisticated syntax than that. // // Example:
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 11:16:00 GMT 2020 - 3.4K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
// it will be compatible with it: the name will be updated by device placement // logic to refer to the specific device chosen. // // Example: If one calls `op->SetDeviceName("/device:GPU")`, the value // returned by DeviceName should be "/device:GPU:*" until a particular GPU is // chosen for the operation by the device placement logic in the
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/eager/tfe_op_internal.h
// Wraps a pointer to an operation implementation. // // WARNING: Since the underlying object could be ref-counted a user of this // interface cannot destruct the underlying operation object. Instead, call // TFE_DeleteOp who calls Release() on the operation pointer and deletes // the TFE_Op structure. typedef struct TFE_Op TFE_Op; namespace tensorflow { DEFINE_CONVERSION_FUNCTIONS(tensorflow::ImmediateExecutionOperation, TFE_Op);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jun 17 19:39:13 GMT 2020 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/tfe_tensorhandle_internal.h
// // WARNING: Since the underlying object could be ref-counted a user of this // interface cannot destruct the underlying handle object. Instead, call // TFE_DeleteTensorHandle who calls Release() on the handle pointer and deletes // the TFE_TensorHandle structure. typedef struct TFE_TensorHandle TFE_TensorHandle; namespace tensorflow {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jun 17 19:39:13 GMT 2020 - 1.6K bytes - Viewed (0) -
WORKSPACE
) load("@pypi//:requirements.bzl", "install_deps") install_deps() # Initialize the TensorFlow repository and all dependencies. # # The cascade of load() statements and tf_workspace?() calls works around the # restriction that load() statements need to be at the top of .bzl files. # E.g. we can not retrieve a new repository with http_archive and then load() # a macro from that repository in the same file.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Apr 05 22:27:48 GMT 2024 - 3K bytes - Viewed (2) -
ci/official/utilities/setup_macos.sh
if [[ -n "$(which grealpath)" ]] && [[ -n "$(which gstat)" ]]; then alias realpath=grealpath alias stat=gstat # By default, aliases are only expanded in interactive shells, which means # that they are not substituted for their corresponding commands in shell # scripts. By setting "expand_aliases", we enable alias expansion in # non-interactive shells as well. shopt -s expand_aliases else
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:23:28 GMT 2024 - 6.2K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh
# under the root of srcjars jars created by bazel, rather than under # the maven-style src/main/java subdirectory. # # Bazel manages annotation generated source as follows: First, it # calls javac with options that create generated files under a # bazel-out directory. Next, it archives the generated source files # into a srcjar directly under the root. There doesn't appear to be a
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 2.6K bytes - Viewed (0)