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.github/ISSUE_TEMPLATE/tflite-op-request.md
--- name: TensorFlow Lite Op Request about: Use this template for reporting Lite ops you are using or missing labels: 'comp:lite' --- **System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installed from (source or binary): - TensorFlow version (or github SHA if from source): **Provide the text output from tflite_convert** ``` # Copy and paste here ```
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.github/workflows/pylint-presubmit.yml
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== name: PyLint on: pull_request: paths: - '**.py' permissions: contents: read jobs: build: name: PyLint runs-on: ubuntu-latest steps: - name: Checkout code
Others - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Sep 12 16:40:29 GMT 2023 - 1.7K bytes - Viewed (0) -
ci/official/utilities/generate_index_html.sh
<li>Job ID: $KOKORO_BUILD_ID</li> <li>Current HEAD Piper Changelist, if any: cl/${KOKORO_PIPER_CHANGELIST:-not available}</li> <li>Pull Request Number, if any: ${KOKORO_GITHUB_PULL_REQUEST_NUMBER_tensorflow:- none}</li> <li>Pull Request Link, if any: <a href="$KOKORO_GITHUB_PULL_REQUEST_URL_tensorflow">${KOKORO_GITHUB_PULL_REQUEST_URL_tensorflow:-none}</a></li> <li>Commit: $KOKORO_GIT_COMMIT_tensorflow</li> </ul> <h2>Googlers-Only Links</h2> <ul>
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.github/ISSUE_TEMPLATE/tflite-other.md
Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type: markdown attributes: value: | Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. - type: markdown
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ISSUES.md
If you open a GitHub Issue, here is our policy: 1. It must be a bug/performance issue or a feature request or a build issue or a documentation issue (for small doc fixes please send a PR instead). 1. Make sure the Issue Template is filled out. 1. The issue should be related to the repo it is created in. **Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support
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requirements_lock_3_10.txt
# via -r requirements.in certifi==2024.2.2 \ --hash=sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f \ --hash=sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1 # via requests charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
block->lra_iterator = lra_list_.begin(); block->timestamp = timer_seconds_(); } } }); // Loop until either block content is successfully fetched, or our request // encounters an error. absl::MutexLock l(&block->mu); TF_SetStatus(status, TF_OK, ""); while (true) { switch (block->state) { case FetchState::ERROR: // TF_FALLTHROUGH_INTENDED
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 16 01:39:09 GMT 2020 - 11.1K bytes - Viewed (0) -
.github/workflows/issue-on-pr-rollback.yml
push: branches: - master permissions: {} jobs: create-issue-on-pr-rollback: runs-on: ubuntu-latest permissions: contents: read issues: write pull-requests: read if: | github.repository == 'tensorflow/tensorflow' && startsWith(github.event.head_commit.message, 'Rollback of PR #') steps: - name: Checkout repo
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tensorflow/c/eager/c_api_remote_test_util.h
#ifndef TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ #define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ // Run a function containing a MatMul op and check its output. // If heavy_load_on_streaming_rpc is true, send some rpc requests before the one // which creates a remote input, to simulate a scenario that the remote input // is not ready when we start running an op or a function. void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func,
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
const size_t block_size = 16; int num_requests = 0; Notification notification; auto fetcher = [&num_requests, ¬ification, block_size]( const string& filename, size_t offset, size_t n, char* buffer, TF_Status* status) -> int64_t { EXPECT_EQ(n, block_size); EXPECT_EQ(offset, 0); num_requests++; memset(buffer, 'x', n); notification.Notify();
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