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ci/official/README.md
# generated artifacts like .whl files, and "script.log", from the script. # Note that files created under Docker will be owned by "root". ls build_output ``` ## Contribution & Maintenance The TensorFlow team does not yet have guidelines in place for contributing to this directory. We are working on it. Please join a TF SIG Build meeting (see: bit.ly/tf-sig-build-notes) if you'd like to discuss the future of contributions.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Feb 01 03:21:19 GMT 2024 - 8K bytes - Viewed (0) -
tensorflow/api_template.__init__.py
# 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") if _os.path.exists(_plugin_dir): _ll.load_library(_plugin_dir)
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/eager/dlpack_test.cc
limitations under the License. ==============================================================================*/ #include "tensorflow/c/eager/dlpack.h" #include <vector> #include "absl/strings/str_join.h" #include "include/dlpack/dlpack.h" // from @dlpack #include "tensorflow/c/eager/c_api.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace {
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tensorflow/c/eager/c_api_experimental.h
// This function will block till the operation that produces `h` has // completed. This is only valid on local TFE_TensorHandles. Returns the size in // bytes of the memory pointed to by the device pointer returned above. TF_CAPI_EXPORT extern size_t TFE_TensorHandleDeviceMemorySize(TFE_TensorHandle*, TF_Status*);
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tensorflow/c/c_api.cc
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD) status->status = tensorflow::errors::Unimplemented( "Server functionality is not supported on mobile"); #else status->status = server->server->Join(); #endif // defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD) } const char* TF_ServerTarget(TF_Server* server) { #if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD) return nullptr; #else
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tensorflow/c/c_api.h
TF_Status* status); // Get the OpList of OpDefs defined in the library pointed by lib_handle. // // Returns a TF_Buffer. The memory pointed to by the result is owned by // lib_handle. The data in the buffer will be the serialized OpList proto for // ops defined in the library.
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RELEASE.md
* GPU * GPU acceleration now supports quantized models by default * `DynamicBuffer::AddJoinedString()` will now add a separator if the first string to be joined is empty. * Adds support for cumulative sum (cumsum), both as builtin op and MLIR conversion. ### `TensorRT` * Issues a warning when the `session_config` parameter for the TF1 converter
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tensorflow/c/eager/c_api.cc
} // This function will block till the operation that produces `h` has // completed. This is only valid on local TFE_TensorHandles. Returns the size in // bytes of the memory pointed to by the device pointer returned above. size_t TFE_TensorHandleDeviceMemorySize(TFE_TensorHandle* h, TF_Status* status) { if (h == nullptr) {
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) -
.github/workflows/sigbuild-docker.yml
username: _json_key password: ${{ secrets.GCP_CREDS }} - name: Grab the upcoming TF version to tag this container run: | # [[:digit:]] searches for numbers and \+ joins them together major_version=$(grep "^#define TF_MAJOR_VERSION" ./tensorflow/core/public/version.h | grep -o "[[:digit:]]\+")
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tensorflow/c/eager/tape.h
const std::vector<Gradient*>& in_grads, absl::Span<Gradient*> out_grads); // Maps from tensor IDs to corresponding JVPs. std::unordered_map<int64_t, Gradient*> accumulated_gradients_; // Not owned; provides operations on Tensors which are currently only // available in language bindings (e.g. Python). const VSpace<Gradient, BackwardFunction, TapeTensor>& vspace_; // Decides if tangents are vectorized or not
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