Show raw ops pages, but hide them from search.
PiperOrigin-RevId: 294811206 Change-Id: Ia37cb4337e5370aa68832fe02596da87988ce684
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@ -77,7 +77,6 @@ from tensorflow.python.util.deprecation import deprecated_args
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from tensorflow.python.util.lazy_loader import LazyLoader
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from tensorflow.python.util.tf_export import kwarg_only
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from tensorflow.python.util.tf_export import tf_export
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from tensorflow.tools.docs.doc_controls import do_not_generate_docs
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ag_ctx = LazyLoader(
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"ag_ctx", globals(),
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@ -6606,8 +6605,7 @@ register_tensor_conversion_function = \
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def to_raw_op(f):
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"""Make a given op wrapper function `f` raw.
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Raw op wrappers are not included in the docs, and can only be called
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with keyword arguments.
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Raw op wrappers can only be called with keyword arguments.
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Args:
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f: An op wrapper function to make raw.
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@ -6619,7 +6617,7 @@ def to_raw_op(f):
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# due to double-registration.
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f = types.FunctionType(f.__code__, f.__globals__, f.__name__, f.__defaults__,
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f.__closure__)
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return kwarg_only(do_not_generate_docs(f))
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return kwarg_only(f)
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def raise_from_not_ok_status(e, name):
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@ -36,17 +36,15 @@ import textwrap
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from absl import app
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from absl import flags
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import tensorflow as tf
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import tensorflow.compat.v2 as tf
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from tensorflow_docs.api_generator import doc_controls
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from tensorflow_docs.api_generator import doc_generator_visitor
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from tensorflow_docs.api_generator import generate_lib
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import tensorboard
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import tensorflow_estimator
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from tensorflow.python.framework import ops
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from tensorflow.python.util import tf_export
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from tensorflow.python.util import tf_inspect
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@ -55,6 +53,11 @@ from tensorflow.python.util import tf_inspect
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# So patch `tf.__all__` to list everything.
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tf.__all__ = [item_name for item_name, value in tf_inspect.getmembers(tf)]
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# tf_export generated two copies of the module objects.
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# This will just list compat.v2 as an alias for tf. Close enough, let's not
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# duplicate all the module skeleton files.
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tf.compat.v2 = tf
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FLAGS = flags.FLAGS
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flags.DEFINE_string(
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@ -103,7 +106,7 @@ def generate_raw_ops_doc():
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| Op Name | Has Gradient |
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|---------|:------------:|""")
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parts = [tf.raw_ops.__doc__, warning, table_header]
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parts = [warning, table_header]
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for op_name in sorted(dir(tf.raw_ops)):
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try:
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@ -111,15 +114,16 @@ def generate_raw_ops_doc():
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has_gradient = "\N{HEAVY CHECK MARK}\N{VARIATION SELECTOR-16}"
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except LookupError:
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has_gradient = "\N{CROSS MARK}"
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parts.append("| {} | {} |".format(op_name, has_gradient))
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link = (
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'<a id={op_name} href="{FLAGS.site_path}/api_docs/python/tf/raw_ops">'
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'{op_name}</a>').format(op_name=op_name, FLAGS=FLAGS.site_path)
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parts.append(
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"| {link} | {has_gradient} |".format(link=link,
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has_gradient=has_gradient))
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return "\n".join(parts)
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tf.raw_ops.__doc__ = generate_raw_ops_doc()
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# The doc generator isn't aware of tf_export.
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# So prefix the score tuples with -1 when this is the canonical name, +1
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# otherwise. The generator chooses the name with the lowest score.
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@ -173,6 +177,9 @@ def build_docs(output_dir, code_url_prefix, search_hints=True):
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code_url_prefix: prefix for "Defined in" links.
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search_hints: Bool. Include meta-data search hints at the top of each file.
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"""
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# The custom page will be used for raw_ops.md not the one generated above.
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doc_controls.custom_page_content(tf.raw_ops, generate_raw_ops_doc())
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_hide_layer_and_module_methods()
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try:
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