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tensorflow/c/eager/parallel_device/BUILD
package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # Currently pybind extension shared objects must use only C API headers since # the C API has static initializers duplicated in the Python bindings. So we # need a second rule that omits .cc files, in # tensorflow/python:_pywrap_parallel_device. filegroup( name = "lib_headers",
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tensorflow/c/BUILD
}), tags = [ "no_cuda_asan", # TODO(b/181771536) "no_windows", # TODO(b/155444728) ], # We must ensure that the dependencies can be dynamically linked since # the shared library must be able to use core:framework. deps = [ ":c_api", ":c_api_internal", ":c_test_util", ":test_op_kernel", ":tf_buffer",
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tensorflow/c/experimental/filesystem/plugins/posix/BUILD
deps = [ ":posix_filesystem_helper", "//tensorflow/c:tf_file_statistics", "//tensorflow/c:tf_status", "//tensorflow/c/experimental/filesystem:filesystem_interface", ], ) # Since building pip package and API tests require a filesystem, we provide a # static registration target that they should link against. cc_library( name = "posix_filesystem_static", srcs = ["posix_filesystem_static.cc"],
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RELEASE.md
* (since v2.7) `tf.math.segment_mean` * (since v2.7) `tf.math.segment_prod` * (since v2.7) `tf.math.segment_sum` * (since v2.7) `tf.math.unsorted_segment_mean` * (since v2.7) `tf.math.unsorted_segment_prod` * (since v2.7) `tf.math.unsorted_segment_sum` * (since v2.7) `tf.math.unsorted_segment_sqrt`
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tensorflow/c/eager/c_api_unified_experimental_graph.cc
~GraphOperation() override {} private: friend class GraphContext; // For access to op_. TF_Graph* g_; std::unique_ptr<TF_OperationDescription> op_; // Hold `op_type` and `op_name` till both are available since we need both // to build a graph operation. string op_type_; const char* op_name_ = nullptr; // TODO(srbs): Use this. string device_name_; };
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ci/official/utilities/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for
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tensorflow/c/c_api.cc
// call Session::Extend(). bool ExtendSessionGraphHelper(TF_Session* session, TF_Status* status) { if (session->graph != nullptr) { // Take the graph lock before the session lock to avoid deadlock. This is // safe since session->graph does not change. session->graph->mu.lock(); mutex_lock session_lock(session->mu); const Graph& graph = session->graph->graph;
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.bazelrc
build:android_x86 --cpu=x86 build:android_x86 --fat_apk_cpu=x86 build:android_x86_64 --config=android build:android_x86_64 --cpu=x86_64 build:android_x86_64 --fat_apk_cpu=x86_64 # Build everything statically for Android since all static libs are later # bundled together into a single .so for deployment. build:android --dynamic_mode=off # Sets the default Apple platform to macOS. build:macos --apple_platform_type=macos
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tensorflow/c/eager/tape.h
// any gradients to be computed). // // Finally, we start a backprop stack with a set of tape entries for which we // have all gradients available. This set usually is a subset of the set of // targets (not all since targets which have outputs in the tape will not have // gradients available initially). // // Then we repeatedly pop an entry from the stack, run its backprop, and update
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tensorflow/c/eager/c_api_experimental.cc
(*sess_options.config.mutable_device_count())["CPU"] = num_cpus; status->status = tensorflow::DeviceFactory::AddCpuDevices(sess_options, prefix, &devices); // Remove the device that has the host device name since host device is alreay // in an initialized context. for (auto d = devices.begin(); d != devices.end();) { if (absl::StrContains(d->get()->name(), "CPU:0")) { d = devices.erase(d); } else {
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