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tensorflow/c/c_api_internal.h
TF_GUARDED_BY(mu); // The keys of this map are all the active sessions using this graph. Each // value records whether the graph has been mutated since the corresponding // session has been run (this is detected in RecordMutation function). If the // string is empty, no mutation has occurred. Otherwise the string is a // description of the mutation suitable for returning to the user. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test_util.h
bool heavy_load_on_streaming_rpc, bool remote_func_outputs = false, bool has_packed_input = false);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 1.4K bytes - Viewed (0) -
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", srcs = ["parallel_device_lib.h"],
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tensorflow/c/experimental/gradients/nn_grad_test.cc
immediate_execution_ctx_.get(), {X.get(), Y.get()}, UseFunction())); } TEST_P(CppGradients, TestBiasAddGrad) { if (UseFunction() && UseMlir()) { GTEST_SKIP() << "SetAttrString has not been implemented yet.\n"; } // A float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f}; int64_t A_dims[] = {2, 2}; AbstractTensorHandlePtr A; { AbstractTensorHandle* A_raw;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > 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.
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
}; const uint32 block_count = 256; tf_gcs_filesystem::RamFileBlockCache cache( block_size, block_count * block_size, 0, fetcher); std::vector<char> out; out.resize(block_count, 0); // The cache has space for `block_count` blocks. The loop with i = 0 should // fill the cache, and the loop with i = 1 should be all cache hits. The // fetcher checks that it is called once and only once for each offset (to
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
const int num_devices = TF_DeviceListCount(devices); bool has_gpu0 = false; bool has_gpu1 = false; for (int i = 0; i < num_devices; ++i) { const char* dev = TF_DeviceListName(devices, i, status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); string device_name(dev); if (device_name.find("GPU:0") != string::npos) { has_gpu0 = true; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/c_api_test.cc
EXPECT_EQ(attr_value.i(), 2); // Placeholder oper now has a consumer. ASSERT_EQ(1, TF_OperationOutputNumConsumers(TF_Output{feed, 0})); TF_Input feed_port; EXPECT_EQ(1, TF_OperationOutputConsumers(TF_Output{feed, 0}, &feed_port, 1)); EXPECT_EQ(add, feed_port.oper); EXPECT_EQ(0, feed_port.index); // The scalar const oper also has a consumer. ASSERT_EQ(1, TF_OperationOutputNumConsumers(TF_Output{three, 0}));
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.h
// will block till the operation that produces `h` has completed. TF_CAPI_EXPORT extern const char* TFE_TensorHandleDeviceName( TFE_TensorHandle* h, TF_Status* status); // Returns the name of the device in whose memory `h` resides. // // This function will block till the operation that produces `h` has completed. TF_CAPI_EXPORT extern const char* TFE_TensorHandleBackingDeviceName(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/c_api_remote_function_test.cc
bool remote_func_outputs = false, bool has_packed_input = false) { return TestRemoteExecuteSilentCopies(async, remote, /*func=*/true, heavy_load_on_streaming_rpc, remote_func_outputs, has_packed_input); } TEST(CAPI, RemoteExecuteSilentCopiesAsyncFunc) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 3.6K bytes - Viewed (0)