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tensorflow/c/eager/immediate_execution_distributed_manager.h
bool reset_context, int keep_alive_secs, int64_t init_timeout_in_ms, int retries, bool clear_existing_contexts = false) = 0; // Initializes context for the local worker and no contexts will be created // for remote workers. Currently this only works for resetting context.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
/*retries=*/0, status, /*clear_existing_contexts=*/false); } // Set server def with timeout. TF_CAPI_EXPORT extern void TFE_ContextSetServerDefWithTimeout( TFE_Context* ctx, int keep_alive_secs, const void* proto, size_t proto_len, int64_t init_timeout_in_ms, TF_Status* status, bool clear_existing_contexts) { TFE_ContextSetServerDefWithTimeoutAndRetries(
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) -
tensorflow/c/eager/c_api_experimental.h
TF_CAPI_EXPORT extern void TFE_ContextSetServerDefWithTimeout( TFE_Context* ctx, int keep_alive_secs, const void* proto, size_t proto_len, int64_t init_timeout_in_ms, TF_Status* status, bool clear_existing_contexts); // Set server def with retries and timeout. This is helpful for fault-tolerant // initial connection in high-preemption environments, such as // ParameterServerStrategy training.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(0, num_dims); TF_GraphGetTensorShape(graph, three_out_0, returned_dims, num_dims, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); // Clean up TF_DeleteGraph(graph); TF_DeleteStatus(s); } TEST(CAPI, Graph) { TF_Status* s = TF_NewStatus(); TF_Graph* graph = TF_NewGraph(); // Make a placeholder operation.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/eager/c_api_test_util.cc
serialized_server_def.size(), init_timeout_in_ms, status, /*clear_existing_contexts=*/false); EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); TFE_DeleteContextOptions(opts); TF_DeleteStatus(status); return ctx; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
.github/workflows/arm-cd.yml
echo "No running containers"; else echo "Running container(s) found" && \ docker stop $running_containers; fi docker container prune -f - name: Clean repository shell: bash run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true - name: Checkout repository for nightly (skipped for releases)
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Mar 05 10:24:16 GMT 2024 - 3K bytes - Viewed (1) -
tensorflow/c/c_api.cc
if (!mutation_warning.empty()) { // TODO(b/74949947): turn this back into an error status LOG(WARNING) << mutation_warning; session->graph->sessions[session].clear(); } const auto num_nodes = graph.num_node_ids(); if (session->last_num_graph_nodes < num_nodes) { // TODO(nolivia): check this on a subset of the graph instead of all of // it.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
.github/workflows/arm-ci-extended.yml
else echo "Running container(s) found" && \ docker stop $running_containers; fi docker container prune -f docker image prune -af - name: Clean repository shell: bash run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true - name: Checkout repository for nightly (skipped for releases)
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Mar 05 10:24:16 GMT 2024 - 2.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
RELEASE.md
* Add tf.keras.layers.AbstractRNNCell as the preferred implementation of RNN cell for TF v2. User can use it to implement RNN cell with custom behavior. * Adding `clear_losses` API to be able to clear losses at the end of forward pass in a custom training loop in eager. * Add support for passing list of lists to the `metrics` param in Keras `compile`.
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)