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ci/official/debug_tfci.sh
# limitations under the License. # ============================================================================== # This script dumps some information about the environment. It's most useful # for verifying changes to the TFCI scripts system, and most users won't need # to interact with it at all. source "${BASH_SOURCE%/*}/utilities/setup.sh" echo "==TFCI== env outside of tfrun:" env echo "==TFCI== env inside of tfrun:"
Shell Script - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Nov 01 19:54:25 GMT 2023 - 1022 bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// Returns the number of elements in dimension `dim_index`. // Tensor representation on device can be transposed from its representation // on host. The data contained in dimension `dim_index` on device // can correspond to the data contained in another dimension in on-host // representation. The dimensions are indexed using the standard TensorFlow // major-to-minor order (slowest varying dimension first),
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false
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tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
// 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: // void func() { // FILE* fp = fopen("data.txt", "r"); // if (fp == nullptr) return;
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 11:16:00 GMT 2020 - 3.4K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.h
// Returns number of elements across all dimensions. virtual Status NumElements(int64_t* num_elements) const = 0; // Returns size of specified dimension // // -1 indicates an unknown axis length; this is unreachable for most standard // ImmediateExecutionTensorHandles, but comes up for example when computing // the shape of a parallel tensor with component shapes differing across // devices.
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache_test.cc
// timestamp of the entry. cache.Insert(key, 41); env->SetNowSeconds(2); cache.Insert(key, 42); // 1 second after the most recent insertion, the entry is still valid. env->SetNowSeconds(3); int value = 0; EXPECT_TRUE(cache.Lookup(key, &value)); EXPECT_EQ(value, 42); // 2 seconds after the most recent insertion, the entry is no longer valid. env->SetNowSeconds(4); EXPECT_FALSE(cache.Lookup(key, &value));
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 19:31:22 GMT 2020 - 7.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
const tensorflow::ServerDef& cluster_server_def, int task_index) { tensorflow::ServerDef single_host_server_def; single_host_server_def.set_job_name("worker"); single_host_server_def.set_protocol(cluster_server_def.protocol()); single_host_server_def.set_task_index(0); tensorflow::ClusterDef* cluster_def = single_host_server_def.mutable_cluster(); tensorflow::JobDef* job_def = cluster_def->add_job();
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tensorflow/c/eager/c_api_experimental_test.cc
CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_TensorHandle* on_host = TFE_TensorHandleCopyToDevice(copy_aliased, ctx, "CPU:0", status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TF_Tensor* resolved = TFE_TensorHandleResolve(on_host, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); const float* resolved_data =
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.bazelrc
# Set execution platform to Linux x86 # Note: Lot of the "host_" flags such as "host_cpu" and "host_crosstool_top" # flags seem to be actually used to specify the execution platform details. It # seems it is this way because these flags are old and predate the distinction # between host and execution platform. build:cross_compile_base --host_cpu=k8
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