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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# This bazelrc can build a CPU-supporting TF package. # Convenient cache configurations # Use a cache directory mounted to /tf/cache. Very useful! build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
@@ -528,7 +536,8 @@ for linking") # define __hidden_ver1(local, internal, name) \ extern __typeof (name) __EI_##name __asm__(__hidden_asmname (#internal)); \ extern __typeof (name) __EI_##name \ - __attribute__((alias (__hidden_asmname (#local)))) + __attribute__((alias (__hidden_asmname (#local)))) \ + __attribute_copy__ (name) # define hidden_ver(local, name) __hidden_ver1(local, __GI_##name, name);
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 8.9K bytes - Viewed (0) -
CONTRIBUTING.md
it may slow down the tests for not running in parallel and may cause the test to timeout but it could be useful when you need to execute a single test or more in general your filtered/selected tests have a very low execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).
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tensorflow/c/eager/c_api_experimental.h
// setting the same key will lead to errors. // // Note that the key-values are only expected to be used for cluster // configuration data, and should not be used for storing a large amount of data // or being accessed very frequently. TF_CAPI_EXPORT extern void TFE_InsertConfigKeyValue(TFE_Context* ctx, const char* key, const char* value,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
ci/official/envs/versions_upload
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Release jobs are very basic. They don't use any caching or RBE, # but they do upload logs to resultstore. # IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# This bazelrc can build a CPU-supporting TF package. # Convenient cache configurations # Use a cache directory mounted to /tf/cache. Very useful! build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
} # This test ensures that all the targets built into the Python package include # their dependencies. It's a rewritten version of the "smoke test", an older # Python script that was very difficult to understand. See # https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py @test "Pip package includes all required //tensorflow dependencies" {
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tensorflow/c/eager/c_api.h
// Description of the TensorFlow op to execute. // // Assumes that the provided 'ctx' outlives the returned TFE_Op, i.e., // TFE_DeleteOp() is called before TFE_DeleteContext(). // // Very similar to TF_OperationDescription with some differences: // (1) TF_Output or TFE_TensorHandle* as arguments to TF_AddInput, // TF_AddInputList // (2) TF_ColocateWith, TF_AddControlInput etc. do not make sense.
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tensorflow/c/experimental/gradients/math_grad_test.cc
immediate_execution_ctx_.get(), {x.get()}, UseFunction())); } TEST_P(CppGradients, TestMatMulGrad) { // TODO(vnvo2409): Figure out why `gradient_checker` does not work very // well with `MatMul` and remove `TestMatMul*` in // `mnist_gradients_test` when done. GTEST_SKIP(); float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}; int64_t A_dims[] = {3, 3};
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
// if the status is not ok. TF_CAPI_EXPORT extern int TF_OpIsStateful(const char* op_type, TF_Status* status); // Platform specific initialization routine. Very few platforms actually require // this to be called. TF_CAPI_EXPORT void TF_InitMain(const char* usage, int* argc, char*** argv); // Platform-specific implementation to return an unused port. (This should used
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