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tensorflow/c/c_api_test.cc
TF_Buffer* run_options = TF_NewBufferFromString("", 0); TF_Buffer* run_metadata = TF_NewBuffer(); TF_Run(session, run_options, nullptr, nullptr, 0, nullptr, nullptr, 0, nullptr, 0, run_metadata, s); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ("Session was not created with a graph before Run()!", string(TF_Message(s)));
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/c_api.cc
return; } RunMetadata run_metadata_proto; result = session->Run(run_options_proto, input_pairs, output_tensor_names, target_oper_names, &outputs, &run_metadata_proto); // Serialize back to upstream client, who now owns the new buffer if (run_metadata != nullptr) { status->status = MessageToBuffer(run_metadata_proto, run_metadata);
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) -
.github/workflows/arm-cd.yml
strategy: fail-fast: false matrix: pyver: ['3.9', '3.10', '3.11', '3.12'] steps: - name: Stop old running containers (if any) shell: bash run: | running_containers=$(docker ps -q) && \ if [[ $running_containers == "" ]]; then echo "No running containers"; else echo "Running container(s) found" && \
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Mar 05 10:24:16 GMT 2024 - 3K bytes - Viewed (1) -
CONTRIBUTING.md
```bash docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10 ``` Once you have the packages installed, you can run a specific unit test in bazel by doing as follows: ```bash export flags="--config=opt -k" ``` If the tests are to be run on the GPU, add CUDA paths to LD_LIBRARY_PATH and add the `cuda` option flag
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
.github/workflows/arm-ci-extended.yml
if: ${{ github.event_name == 'push' }} uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Build binary and run python tests on nightly for all python versions shell: bash run: | is_nightly=0 && tf_project_name='tf_ci_ext' && ${{ github.event_name == 'schedule' }} && is_nightly=1 && tf_project_name='tf_nightly_ci_ext'
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Mar 05 10:24:16 GMT 2024 - 2.6K bytes - Viewed (0) -
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 this file with a file generated from [`api_template.__init__.py`](https://www.github.com/tensorflow/tensorflow/blob/master/tensorflow/api_template.__init__.py) """
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/c_api.cc
opts->async, device_mgr.release(), /*device_mgr_owned*/ true, std::move(r), /*cluster_flr=*/nullptr, /*collective_executor_mgr=*/nullptr, /*run_eager_op_as_function=*/opts->run_eager_op_as_function, /*jit_compile_rewrite=*/opts->jit_compile_rewrite); #if !defined(IS_MOBILE_PLATFORM) eager_context->SetDistributedManager(
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) -
RELEASE.md
* TensorBoard fixes: graphs with only one data point, Nan values, reload button and auto-reload, tooltips in scalar charts, run filtering, stable colors * Tensorboard graph visualizer now supports run metadata. Clicking on nodes while viewing a stats for a particular run will show runtime statistics, such as memory or compute usage. Unused nodes will be faded out. ## Thanks to our Contributors
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
.bazelrc
# Linux x86 so that we can use RBE. Since tests still need to run on the single # host Arm64 machine, the build becomes too slow (~30 min) to be a presubmit. # For testing purposes, we want to see the runtime performance of an # experimental job that is build-only, i.e, we only build the test targets and # do not run them. By prefixing the configs with "build", we can run both
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2) -
tensorflow/c/c_api_experimental.cc
TF_Tensor* ret; TF_SessionRun(session, /*run_options*/ nullptr, // input related parameters /*inputs*/ nullptr, /*input_values*/ nullptr, /*ninputs*/ 0, // output related parameters /*outputs*/ &output, /*output_values*/ &ret, /*noutputs*/ 1, /*targets*/ nullptr, /*ntargets*/ 0, /*run_metadata*/ nullptr, status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0)