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ci/official/utilities/code_check_changed_files.bats
} # Note: this is excluded on the full code base, since any submitted code must # have passed Google's internal style guidelines. @test "Check formatting for C++ files" { skip "clang-format doesn't match internal clang-format checker" echo "clang-format is recommended. Here are the suggested changes:" echo "=============================" grep -e '\.h$' -e '\.cc$' $BATS_FILE_TMPDIR/changed_files > $BATS_TEST_TMPDIR/files || true
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tensorflow/c/experimental/gradients/nn_grad.cc
*/ AbstractTensorHandle* upstream_grad = grad_outputs[0]; DCHECK(upstream_grad); // Recover data format from forward pass for gradient. std::string data_format; TF_RETURN_IF_ERROR(forward_attrs_.Get("data_format", &data_format)); // Grad for A grad_inputs[0] = upstream_grad; grad_inputs[0]->Ref(); // Grad for bias
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CONTRIBUTING.md
Use `clang-tidy` to check your C/C++ changes. To install `clang-tidy` on ubuntu:16.04, do: ```bash apt-get install -y clang-tidy ``` You can check a C/C++ file by doing: ```bash clang-format <my_cc_file> --style=google > /tmp/my_cc_file.cc diff <my_cc_file> /tmp/my_cc_file.cc ``` #### Python coding style Changes to TensorFlow Python code should conform to
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tensorflow/c/eager/c_api_experimental.h
// devices, so executing tf.functions which contain operations placed on the // custom devices will fail. // // `device_name` must not name an existing physical or custom device. It must // follow the format: // // /job:<name>/replica:<replica>/task:<task>/device:<type>:<device_num> // // If the device is successfully registered, `status` is set to TF_OK. Otherwise
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tensorflow/c/BUILD
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ci/official/utilities/rename_and_verify_wheels.sh
# other than the most recently-modified one (the new one). ls -t *.whl | tail -n +2 | xargs rm fi # Check if size is too big. TFCI_WHL_SIZE_LIMIT is in find's format, which can be # 'k' for kilobytes, 'M' for megabytes, or 'G' for gigabytes, and the + to indicate # "anything greater than" is added by the script.
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RELEASE.md
`tf.keras`:
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tensorflow/c/eager/BUILD
"//tensorflow/core/distributed_runtime/rpc:rpc_rendezvous_mgr", "//tensorflow/core/distributed_runtime/rpc/eager:grpc_eager_client", "@com_google_absl//absl/memory", "@com_google_absl//absl/strings:str_format", "@local_xla//xla/tsl/c:tsl_status_internal", ], alwayslink = 1, ) filegroup( name = "pywrap_required_hdrs", srcs = [ "abstract_context.h",
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tensorflow/BUILD
define_values = {"no_tensorflow_py_deps": "true"}, visibility = ["//visibility:public"], ) # Sometimes Bazel reports darwin_x86_64 as "darwin" and sometimes as # "darwin_x86_64". The former shows up when building on a Mac x86_64 host for a Mac x86_64 target. # The latter shows up when cross-compiling for Mac x86_64 from a Mac ARM machine and in internal # Google builds. config_setting(
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
WHEEL_MEGABYTES=$(stat --format %s "$TF_WHEEL" | awk '{print int($1/(1024*1024))}') # Googlers: search for "test_tf_whl_size" case "$TF_WHEEL" in # CPU: *cpu*manylinux*) LARGEST_OK_SIZE=220 ;; # GPU: *manylinux*) LARGEST_OK_SIZE=580 ;; # Unknown: *) echo "The wheel's name is in an unknown format." exit 1 ;; esac
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