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tensorflow/c/eager/BUILD
":c_api_test_util", ":c_api_unified_internal", "//tensorflow/c:tf_status", "//tensorflow/c:tf_status_helper", "//tensorflow/c:tf_tensor", "//tensorflow/core:framework", "//tensorflow/core/lib/llvm_rtti", "//tensorflow/core/platform:errors", "//tensorflow/core/platform:status", "@com_google_absl//absl/container:flat_hash_set", ], )
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tensorflow/c/experimental/gradients/tape/tape_context.cc
// parent_ctx_->Unref(); } TapeOperation* TapeContext::CreateOperation() { return new TapeOperation(parent_ctx_->CreateOperation(), tape_, registry_); } Status TapeContext::RegisterFunction(AbstractFunction* f) { return parent_ctx_->RegisterFunction(f); } Status TapeContext::RemoveFunction(const string& func) { return parent_ctx_->RemoveFunction(func); } } // namespace gradients
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 23 23:12:39 GMT 2020 - 1.7K bytes - Viewed (0) -
.zenodo.json
{ "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.", "license": "Apache-2.0", "title": "TensorFlow", "upload_type": "software", "creators": [ { "name": "TensorFlow Developers" }
Json - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue May 18 19:19:25 GMT 2021 - 741 bytes - Viewed (0) -
tensorflow/c/eager/tracing_utils.cc
#include "tensorflow/c/experimental/gradients/tape/tape_operation.h" #include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h" #include "tensorflow/core/platform/errors.h" namespace tensorflow { namespace tracing { Status MaybeSetOpName(AbstractOperation* op, const char* op_name) { if (isa<TracingOperation>(op)) { TF_RETURN_IF_ERROR(dyn_cast<TracingOperation>(op)->SetOpName(op_name)); } if (isa<gradients::TapeOperation>(op)) {
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ci/official/libtensorflow.sh
# limitations under the License. # ============================================================================== source "${BASH_SOURCE%/*}/utilities/setup.sh" # Record GPU count and CUDA version status if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then tfrun nvidia-smi fi # Update the version numbers for Nightly only if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 19 19:07:48 GMT 2024 - 1.5K bytes - Viewed (0) -
ci/official/wheel.sh
# limitations under the License. # ============================================================================== source "${BASH_SOURCE%/*}/utilities/setup.sh" # Record GPU count and CUDA version status if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then tfrun nvidia-smi fi # Update the version numbers for Nightly only if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
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tensorflow/c/c_api_function_test.cc
#include "tensorflow/core/framework/op_def.pb.h" #include "tensorflow/core/lib/hash/hash.h" #include "tensorflow/core/lib/strings/proto_serialization.h" #include "tensorflow/core/platform/logging.h" #include "tensorflow/core/platform/status.h" #include "tensorflow/core/platform/str_util.h" #include "tensorflow/core/platform/strcat.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 20 22:08:54 GMT 2023 - 63.6K bytes - Viewed (6) -
LICENSE
reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions.
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tensorflow/BUILD
"//tensorflow/c:c_api_internal", "//tensorflow/c:c_api_no_xla", "//tensorflow/c:checkpoint_reader", "//tensorflow/c:tensor_interface", "//tensorflow/c:tf_status_helper", "//tensorflow/c:tf_tensor_internal", "//tensorflow/cc/saved_model:loader", "//tensorflow/compiler/mlir/lite/metrics:error_collector",
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tensorflow/c/eager/tape.h
new GradientTape<Gradient, BackwardFunction, TapeTensor>(false)); AccumulatorCallState& call_state = call_state_.top(); call_state.backward_tape = tape.get(); auto pop_backward_tape = gtl::MakeCleanup([&call_state] { call_state.backward_tape = nullptr; }); std::vector<Gradient*> forwardprop_aids; std::vector<int64_t> sources; std::unordered_set<int64_t> sources_set;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1)