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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
static bool SetTmpDir(const std::string& tmp_dir_) { ModularFileSystemTest::SetTmpDir(tmp_dir_); return true; } } // namespace } // namespace tensorflow // Due to the usages of flags for this manual test, we need a special `main` to // ensure our flags are parsed properly as `testing::InitGoogleTest` silently // ignores other flags. Furthermore, we need this to ensure that the DSO is // loaded exactly once, if provided.
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.github/workflows/update-nightly.yml
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ on: workflow_dispatch: # Allow manual triggers schedule: - cron: 0 4 * * * # 4am UTC is 9pm PDT and 8pm PST name: Set nightly branch to master HEAD permissions: {} jobs: master-to-nightly:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Sep 12 16:45:56 GMT 2023 - 1.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/BUILD
) # Compliance test for modules and for interface tf_cc_test( name = "modular_filesystem_test", size = "small", srcs = ["modular_filesystem_test.cc"], linkopts = ["-ldl"], tags = [ "manual", # Requires DSOs as arguments, eventual setup "notap", # b/139060984, requires implementing modular support for Google filesystem ], deps = [ ":modular_filesystem",
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tensorflow/c/experimental/gradients/grad_test_helper.h
Model model, Model grad_model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, bool use_function, double abs_error = 1e-2); void CheckTensorValue(AbstractTensorHandle* t, absl::Span<const float> manuals, absl::Span<const int64_t> dims, double abs_error = 1e-2); Model BuildGradModel(Model forward, GradientRegistry registry); } // namespace internal } // namespace gradients
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ci/official/containers/linux_arm64/devel.usertools/setup_venv_test.sh
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
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tensorflow/c/eager/gradient_checker_test.cc
// These tests should not be confused with `[*]_grad_test` which compare the // result of `gradient_checker` and `[*]_grad`. The tests here test the // functionality of `gradient_checker` by comparing the result with expected // manual user-provided gradients. class GradientCheckerTest : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus());
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tensorflow/BUILD
d="$${d#*external/$${extname}/}" d="$${d#_virtual_includes/*/}" fi mkdir -p "$@/$${d}" cp "$${f}" "$@/$${d}/" done """, tags = ["manual"], visibility = ["//visibility:public"], ) # copybara:comment_begin(oss-only) copy_file( name = "root_init_gen", src = select({ "api_version_2": "_api/v2/v2.py",
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RELEASE.md
* TensorFlow Python wheels now specifically conform to [manylinux2014](https://peps.python.org/pep-0599/), an upgrade from manylinux2010. The minimum Pip version supporting manylinux2014 is Pip 19.3 (see [pypa/many...
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tensorflow/c/experimental/gradients/grad_test_helper.cc
TF_TensorByteSize(analytical_tensor)); for (int64_t j = 0; j < num_elem_analytical; j++) { if (abs_error == 0) { ASSERT_EQ(manuals[j], danalytical[j]); } else { ASSERT_NEAR(manuals[j], danalytical[j], abs_error); } } TF_DeleteTensor(analytical_tensor); delete[] danalytical; }
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