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ci/official/envs/disk_cache
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ci/official/wheel_test/README.md
Packages are imported one by one in alphabetical order during runtime. The test doesn't identify package's order-dependent issues; for instance, importing "tf.foo" followed by "tf.bar" won't reveal that "tf.bar" depends on "tf.foo" being imported first. The `_api/v2/api_packages.txt` file is generated during the TensorFlow API v2 init files creation process and is subsequently stored in the wheel file after
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tensorflow/c/eager/unified_api_testutil.h
absl::Span<AbstractTensorHandle* const>, absl::Span<AbstractTensorHandle*>)>; // Runs `model` maybe wrapped in a function call op. This can be thought as // being equivalent to the following python code. // // if use_function: // outputs = tf.function(model)(inputs) // else: // outputs = model(inputs) Status RunModel(Model model, AbstractContext* ctx,
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
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) { // Concurrent reads to the same file blocks should be de-duplicated. const size_t block_size = 16;
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
return schemes; } // `INSTANTIATE_TEST_SUITE_P` is called once for every `TEST_P`. However, we // only want to analyze the user provided schemes and those that are registered // only once. Hence, this function keeping another static pointer to a vector // which contains only the schemes under test. // // Without this additional step, when there are schemes available but the user
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tensorflow/c/eager/c_api_test.cc
EXPECT_EQ(orig_ptr, TF_TensorData(t)); } else { // In sync mode, forwarding can't really happen since the client code will // have a reference count on the input tensor while the kernel is being // executed and thus it cannot be re-used for the return tensor. EXPECT_NE(orig_ptr, TF_TensorData(t)); } } ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
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CODE_OF_CONDUCT.md
and orientation. ## Our Standards Examples of behavior that contributes to creating a positive environment include: * Using welcoming and inclusive language. * Being respectful of differing viewpoints and experiences. * Gracefully accepting constructive criticism. * Focusing on what is best for the community. * Showing empathy towards other community members.
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requirements_lock_3_10.txt
tf-keras-nightly==2.16.0.dev2024021410 \ --hash=sha256:05a4c19c6a795ec9ed6f4dac69d443601b9206b910524d8b19bad6e362d49f47 \ --hash=sha256:83d5a1dd3979b42164a2fac4bdd2ed5981ef0c2a0514ca64e4bc67e369caef5c # via tb-nightly typing-extensions==4.8.0 \ --hash=sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0 \ --hash=sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef # via -r requirements.in
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tensorflow/c/c_api.cc
if (TF_GetCode(status) == TF_OK) { // This modification only updates the destination node for // the purposes of running this graph in a session. Thus, we don't // record the source node as being modified. RecordMutation(graph, *dst.oper, "updating input tensor"); } } // Apis that are corresponding to python c api. --------------------------
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ci/official/containers/linux_arm64/jax.requirements.txt
# REQUIREMENTS_FILE=jax.requirements.txt setuptools wheel cloudpickle colorama>=0.4.4 matplotlib pillow>=9.1.0 rich absl-py portpicker six opt-einsum auditwheel typing_extensions importlib_metadata>=4.6 numpy==1.26.0;python_version=="3.12" numpy==1.23.4;python_version=="3.11" numpy==1.22.4;python_version<"3.11" scipy==1.11.2;python_version=="3.12" scipy==1.9.2;python_version=="3.11"
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