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tensorflow/c/c_api_test.cc
ASSERT_EQ(kernel_list.kernel_size(), 1); EXPECT_EQ(kernel_list.kernel(0).op(), "TestOpWithSingleKernel"); EXPECT_EQ(kernel_list.kernel(0).device_type(), "CPU"); TF_DeleteBuffer(kernel_list_buf); TF_DeleteStatus(status); } TEST(TestKernel, TestGetRegisteredKernelsForOpNoKernels) { TF_Status* status = TF_NewStatus();
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/parallel_device/BUILD
"//tensorflow/c/eager:c_api_experimental", "//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/distributed_runtime/rpc:grpc_server_lib", ],
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tensorflow/api_template.__init__.py
# TODO(gunan): Add sanity checks to loaded modules here. # Load first party dynamic kernels. _tf_dir = _os.path.dirname(_current_file_location) _kernel_dir = _os.path.join(_tf_dir, "core", "kernels") if _os.path.exists(_kernel_dir): _ll.load_library(_kernel_dir) # Load third party dynamic kernels. for _s in _site_packages_dirs: _plugin_dir = _os.path.join(_s, "tensorflow-plugins")
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
tensorflow/c/c_api.cc
// TF_Server functions ---------------------------------------------- #if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD) TF_Server::TF_Server(std::unique_ptr<tensorflow::ServerInterface> server) : target(server->target()), server(std::move(server)) {} #endif // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD) TF_Server* TF_NewServer(const void* proto, size_t proto_len,
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) -
CONTRIBUTING.md
and [GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile) for the required packages. Alternatively, use the said [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build) (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no
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tensorflow/c/eager/immediate_execution_distributed_manager.h
// on cluster configurations provided in `server_def`; otherwise, update // existing context state with the provided `server_def`. Contexts created // on remote tasks will be considered stale and garbage collected after // `keep_alive_secs` of inactivity. virtual Status SetOrUpdateServerDef(const ServerDef& server_def, bool reset_context, int keep_alive_secs,
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/c_test.c
TF_DeleteStatus(s); return NULL; } // A compute function. This will never actually get called in this test, it's // just nice to know that it compiles. void compute(void* kernel, TF_OpKernelContext* ctx) { TF_Tensor* input; TF_Status* s = TF_NewStatus(); TF_GetInput(ctx, 0, &input, s); TF_DeleteTensor(input); TF_DeleteStatus(s); } // Exercises tensorflow's C API.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Apr 24 20:50:35 GMT 2024 - 2.8K bytes - Viewed (0) -
tensorflow/c/BUILD
"//tensorflow/core:test", "//tensorflow/core:test_main", ], ) tf_custom_op_library( name = "test_op1.so", srcs = ["test_op1.cc"], ) tf_kernel_library( name = "test_op_kernel", srcs = ["test_op.cc"], deps = [ "//tensorflow/core:framework", "//tensorflow/core:lib", ], alwayslink = 1, ) tf_cuda_cc_test(
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requirements_lock_3_10.txt
tblib==2.0.0 \ --hash=sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a \ --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7 # via -r requirements.in tensorboard-data-server==0.7.2 \ --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \ --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \
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tensorflow/c/eager/c_api_experimental.h
// Causes the calling thread to block till all ops dispatched in this executor // have been executed. Note that "execution" here refers to kernel execution / // scheduling of copies, etc. Similar to sync execution, it doesn't guarantee // that lower level device queues (like GPU streams) have been flushed. // // This call may not block for execution of ops enqueued concurrently with this // call.
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