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tensorflow/c/eager/c_api_experimental.h
bool use_tfrt); // Returns the context_id from the EagerContext which is used by the // EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during
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/BUILD
# Description: # C API for TensorFlow, for use by client language bindings. load("@bazel_skylib//lib:selects.bzl", "selects") load("@local_config_tensorrt//:build_defs.bzl", "if_tensorrt") load("@local_tsl//tsl/platform:rules_cc.bzl", "cc_library") load( "//tensorflow:tensorflow.bzl", "check_deps", "if_google", "if_not_mobile", "tf_cc_test", "tf_copts", "tf_cuda_library", "tf_custom_op_library",
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 27 18:00:18 GMT 2024 - 30.3K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/c_api.h
int num_options); // Resets the PjRt client for a device. After this, `TF_GetPjRtCClient` will // returns an error for that device. TF_CAPI_EXPORT extern void TF_ResetPjRtCClient(const char* device_type, TF_Status* status); // Gets the `PJRT_Client*` stored in TF global ResourceManager. TF_CAPI_EXPORT extern PJRT_Client* TF_GetPjRtCClient(const char* device_type,
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Dec 20 20:01:06 GMT 2023 - 7.2K bytes - Viewed (0) -
tensorflow/c/eager/BUILD
"//tensorflow/core/distributed_runtime:worker_interface", "//tensorflow/core/distributed_runtime/eager:cluster_function_library_runtime", "//tensorflow/core/distributed_runtime/eager:eager_client", "//tensorflow/core/distributed_runtime/eager:remote_mgr", "//tensorflow/core/distributed_runtime/rpc:grpc_channel", "//tensorflow/core/distributed_runtime/rpc:grpc_server_lib",
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tensorflow/BUILD
"//tensorflow/core/framework:full_type_util", "//tensorflow/core/function/runtime_client:runtime_client_cc", "//tensorflow/core/grappler/clusters:cluster", "//tensorflow/core/grappler/clusters:single_machine", "//tensorflow/core/grappler/clusters:virtual_cluster", "//tensorflow/core/grappler/costs:graph_memory",
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RELEASE.md
server.register("multiply", _remote_multiply) ``` * Example usage to create client: `python client = tf.distribute.experimental.rpc.Client.create("grpc", address) a = tf.constant(2, dtype=tf.int32) b = tf.constant(3, dtype=tf.int32) result = client.multiply(a, b)` * `tf.lite`: * Add experimental API `experimental_from_jax` to support conversion from
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tensorflow/c/eager/c_api.cc
static_cast<tensorflow::ContextDevicePlacementPolicy>(policy)); } // Note: this function looks up a thread local policy. So it should be called in // the appropriate client thread. In particular, in async mode, it may not be // safe to call this function from the async EagerExecutor threads. extern TFE_ContextDevicePlacementPolicy TFE_ContextGetDevicePlacementPolicy( TFE_Context* ctx) {
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/experimental/next_pluggable_device/BUILD
"@com_google_absl//absl/types:span", "@local_tsl//tsl/distributed_runtime/coordination:coordination_service_agent", "@local_xla//xla/pjrt:pjrt_c_api_client", "@local_xla//xla/pjrt:pjrt_client", "@local_xla//xla/pjrt/c:pjrt_c_api_hdrs", "@local_xla//xla/pjrt/c:pjrt_c_api_helpers", ], ) # Plugin should include this target to avoid linking the C API implementation.
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tensorflow/c/experimental/filesystem/plugins/gcs/BUILD
"//tensorflow/c:logging", "//tensorflow/c:tf_status", "//tensorflow/c/experimental/filesystem:filesystem_interface", "@com_github_googlecloudplatform_google_cloud_cpp//:storage_client", "@com_google_absl//absl/strings", "@com_google_absl//absl/types:variant", ], ) cc_library( name = "gcs_helper", srcs = ["gcs_helper.cc"], hdrs = ["gcs_helper.h"],
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tensorflow/c/c_api_experimental.cc
if (enable) { optimizer_options->set_global_jit_level(tensorflow::OptimizerOptions::ON_1); // These XLA flags are needed to trigger XLA properly from C (more generally // non-Python) clients. If this API is called again with `enable` set to // false, it is safe to keep these flag values as is. tensorflow::MarkForCompilationPassFlags* flags = tensorflow::GetMarkForCompilationPassFlags();
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