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tensorflow/c/eager/parallel_device/BUILD
], visibility = ["//tensorflow/python:__pkg__"], ) filegroup( name = "sources", srcs = [ ":device_sources", ":lib_sources", ], visibility = ["//tensorflow/python:__pkg__"], ) cc_library( name = "parallel_device", srcs = [":device_sources"], hdrs = [":device_headers"], visibility = ["//visibility:private"], deps = [
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tensorflow/c/eager/tape.h
// the tape, so no gradient needs to be computed from it unless this // target is also a source. auto source_tensor = sources_that_are_targets.find(id); if (source_tensor != sources_that_are_targets.end()) { Gradient* ones_like = nullptr; TF_RETURN_IF_ERROR( vspace.BuildOnesLike(source_tensor->second, &ones_like)); (*result)[id].push_back(ones_like); } }
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) -
tensorflow/c/c_api_test.cc
TF_TString_Init(&data[i]); // The following input string length is large enough to make sure that // copy to tstring in large mode. std::string source = "This is the " + std::to_string(i + 1) + "th. data element\n"; TF_TString_Copy(&data[i], source.c_str(), source.length()); } TF_DeleteTensor(t); } } // namespace } // namespace tensorflow // TODO(josh11b): Test:
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tensorflow/api_template.__init__.py
interfaces into a single place. The interfaces themselves are located in sub-modules, as described below. Note that the file `__init__.py` in the TensorFlow source code tree is actually only a placeholder to enable test cases to run. The TensorFlow build replaces
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
return ToOperation(iter->second); } } TF_Operation* TF_GraphNextOperation(TF_Graph* graph, size_t* pos) { if (*pos == 0) { // Advance past the first sentinel nodes in every graph (the source & sink). *pos += 2; } else { // Advance to the next node. *pos += 1; } mutex_lock l(graph->mu); while (*pos < static_cast<size_t>(graph->graph.num_node_ids())) {
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CONTRIBUTING.md
2. If you are changing the code and the docstring of a class/function/method, then you will need to [build TensorFlow from source](https://www.tensorflow.org/install/source). Once you are setup to build from source, you can run the tests: ```bash bazel run //tensorflow/tools/docs:tf_doctest ``` or ```bash
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RELEASE.md
[NCCL 2.2](https://developer.nvidia.com/nccl). See updated install guides: [TensorFlow GPU support](https://www.tensorflow.org/install/gpu) and [Build TensorFlow from source](https://www.tensorflow.org/install/source). * Starting from TensorFlow 1.11, Windows builds will use Bazel. Therefore, we will drop official support for cmake. ## Bug Fixes and Other Changes * `tf.data`:
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ci/official/wheel.sh
# See the License for the specific language governing permissions and # 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
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 06 21:54:13 GMT 2024 - 1.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.cc
std::string(result.error_message()).data()); if (TF_GetCode(&s) != TF_Code::TF_OK) { tensorflow::CoordinationServiceError error; *error.mutable_source_task() = result.error_payload().source_task(); TF_SetPayload(&s, tensorflow::CoordinationErrorPayloadKey().data(), error.SerializeAsString().c_str()); } *state_iter = std::move(s); ++state_iter;
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tensorflow/BUILD
selects.config_setting_group( name = "is_cuda_enabled_and_windows", match_all = [ ":is_cuda_enabled", ":windows", ], ) # Config setting to use in select()s to distinguish open source build from # google internal build on configurable attributes. # # For non-configurable distinction between OSS and Google builds, see # `if_oss()` and `if_google()` macros in tensorflow.bzl. config_setting(
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