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ci/official/wheel_test/README.md
`_requirements_lock` files will be generated by the presubmit job. A detailed description will be provided once it's integrated into presubmit. ### test_import_api_packages This Python test verifies whether the API v2 packages can be imported from the current build. It utilizes the `_api/v2/api_packages.txt` list of packages from the local wheel file specified in the `requirements_lock_<python_version>.txt`.
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ci/official/utilities/code_check_changed_files.bats
xargs -a $BATS_TEST_TMPDIR/files -i -n1 -P $(nproc --all) \ bash -c 'clang-format-12 --style=Google {} | git diff --no-index {} -' \ | tee $BATS_TEST_TMPDIR/needs_help.txt echo "You can use clang-format --style=Google -i <file> to apply changes to a file." [[ ! -s $BATS_TEST_TMPDIR/needs_help.txt ]] } # Note: this is excluded on the full code base, since any submitted code must
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tensorflow/c/c_api_internal.h
int last_num_graph_nodes; // If true, TF_SessionRun and similar methods will call // ExtendSessionGraphHelper before running the graph (this is the default // public behavior). Can be set to false if the caller needs to call // ExtendSessionGraphHelper manually. std::atomic<bool> extend_before_run; }; struct TF_ImportGraphDefOptions { tensorflow::ImportGraphDefOptions opts;
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
// Copy the relevant portion of the block into the result buffer. const auto& data = block->data; if (offset >= pos + data.size()) { // The requested offset is at or beyond the end of the file. This can // happen if `offset` is not block-aligned, and the read returns the last // block in the file, which does not extend all the way out to `offset`. std::stringstream os;
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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. // // Furthermore, as `INSTANTIATE_TEST_SUITE_P` needs to be at global level and we
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tensorflow/c/c_api_test.cc
ASSERT_EQ(1, TF_OperationNumInputs(neg)); TF_Output neg_input = TF_OperationInput({neg, 0}); EXPECT_EQ(scalar, neg_input.oper); EXPECT_EQ(0, neg_input.index); // Test that we can't see control edges involving the source and sink nodes. TF_Operation* control_ops[100]; EXPECT_EQ(0, TF_OperationNumControlInputs(scalar)); EXPECT_EQ(0, TF_OperationGetControlInputs(scalar, control_ops, 100));
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
ReadCache(&cache, "a", i * block_size, block_size, &out)); std::vector<char> x(block_size, 'x'); EXPECT_EQ(out, x); })); } // The `threads` destructor blocks until the threads can be joined, once their // respective reads finish (which happens once they are all concurrently being // executed, or 10 seconds have passed). } TEST(RamFileBlockCacheTest, CoalesceConcurrentReads) {
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tensorflow/c/eager/c_api_unified_experimental_test.cc
// Execute. TF_ExecuteOperation(add_op, 2, inputs, add_outputs, status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); // Test that full type information can be accessed. auto outs = unwrap(add_outputs); auto h = outs->outputs[0]; ASSERT_NE(h, nullptr); ASSERT_EQ(h->FullType().type_id(), TFT_UNSET); ASSERT_EQ(unwrap(inputs[0])->FullType().type_id(), TFT_UNSET);
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tensorflow/c/eager/c_api_test.cc
CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_DeleteContextOptions(opts); TFE_TensorHandle* n = TestMatrixTensorHandle100x100(ctx); // If a GPU exists, copy the handle to GPU so that we can exercise // unprotecting a mirror. std::string gpu_device_name; if (GetDeviceName(ctx, &gpu_device_name, "GPU")) { TFE_TensorHandle* n_gpu =
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RELEASE.md
endpoint. * Promoting `tf.data.experimental.RandomDataset` API to `tf.data.Dataset.random` and deprecating the experimental endpoint. * Promoting `tf.data.experimental.scan` API to `tf.data.Dataset.scan` and deprecating the experimental endpoint. * Promoting `tf.data.experimental.snapshot` API to `tf.data.Dataset.shapshot` and deprecating the experimental endpoint.
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