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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
TF_EXPECT_OK(ReadCache(&cache, "a", 0, 1, &out)); TF_EXPECT_OK(ReadCache(&cache, "b", 0, 1, &out)); TF_EXPECT_OK(ReadCache(&cache, "a", 8, 1, &out)); EXPECT_EQ(calls, 3); // Advance the fake timestamp so that "a" becomes stale via its first block. env->SetNowSeconds(now + 2); // The pruning thread periodically compares env->NowSeconds() with the oldest // block's timestamp to see if it should evict any files. At the current fake
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
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ci/official/utilities/code_check_full.bats
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tensorflow/c/eager/immediate_execution_tensor_handle.h
virtual Status NumElements(int64_t* num_elements) const = 0; // Returns size of specified dimension // // -1 indicates an unknown axis length; this is unreachable for most standard // ImmediateExecutionTensorHandles, but comes up for example when computing // the shape of a parallel tensor with component shapes differing across // devices. virtual Status Dim(int dim_index, int64_t* dim) const = 0;
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
} // The URI schemes that need to be tested are provided by the user via flags // (or, if none is supplied, all existing schemes are used). As a scheme can // become available after a shared object with a filesystem implementation is // loaded, we can only check for availability after all arguments have been // parsed. //
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RELEASE.md
becomes `axis` * `tf.reduce_mean`: `reduction_indices` becomes `axis` * `tf.reduce_min`: `reduction_indices` becomes `axis` * `tf.reduce_prod`: `reduction_indices` becomes `axis` * `tf.reduce_sum`: `reduction_indices` becomes `axis` * `tf.reverse_sequence`: `batch_dim` becomes `batch_axis`, `seq_dim` becomes `seq_axis` * `tf.sparse_concat`: `concat_dim` becomes `axis` * `tf.sparse_reduce_sum`: `reduction_axes` becomes `axis` *
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.bazelrc
# ARM64 PYCPP # In Linux Arm64 presubmit/continuous build, we cross-compile the binaries on # 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
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tensorflow/c/eager/c_api.h
// in 'op' should not be mutated till the kernel execution actually finishes. // // For sync execution, if any of the inputs to `op` are not ready, this call // will block till they become ready and then return when the kernel execution // is done. // TODO(agarwal): change num_retvals to int from int*. TF_CAPI_EXPORT extern void TFE_Execute(TFE_Op* op, TFE_TensorHandle** retvals,
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
# define _strong_alias(name, aliasname) \ - extern __typeof (name) aliasname __attribute__ ((alias (#name))); + extern __typeof (name) aliasname __attribute__ ((alias (#name))) \ + __attribute_copy__ (name); /* This comes between the return type and function name in a function definition to make that definition weak. */ @@ -125,14 +131,16 @@ If weak aliases are not available, this defines a strong alias. */
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CONTRIBUTING.md
[guidelines](#general-guidelines-and-philosophy-for-contribution). - Changes are consistent with the [Coding Style](#c-coding-style). - Run the [unit tests](#running-unit-tests). ## How to become a contributor and submit your own code ![Screen Shot 2022-08-30 at 7 27 04 PM](https://user-images.githubusercontent.com/42785357/187579207-9924eb32-da31-47bb-99f9-d8bf1aa238ad.png) ### Typical Pull Request Workflow -
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