Remove usage of magic-api-link syntax from source files.

Back-ticks are now converted to links in the api_docs generator. With the new docs repo we're moving to simplify the docs pipeline, and make everything more readable.

By doing this we no longer get test failures for symbols that don't exist (`tf.does_not_exist`  will not get a link).

There is also no way, not to set custom link text. That's okay.

This is the result of the following regex replacement (+ a couple of manual edits.):

re: @\{([^$].*?)(\$.+?)?}
sub: `\1`

Which does the following replacements:

"@{tf.symbol}" --> "`tf.symbol`"
"@{tf.symbol$link_text}" --> "`tf.symbol`"

PiperOrigin-RevId: 208042358

2 files changed, 4 insertions, 4 deletions

diff --git a/tensorflow/contrib/signal/python/kernel_tests/test_util.py b/tensorflow/contrib/signal/python/kernel_tests/test_util.py
index 7d6289532a..b4422a4988 100644
--- a/tensorflow/contrib/signal/python/kernel_tests/test_util.py
+++ b/tensorflow/contrib/signal/python/kernel_tests/test_util.py
@@ -27,15 +27,15 @@ def grappler_optimize(graph, fetches=None, rewriter_config=None):
   """Tries to optimize the provided graph using grappler.
 
   Args:
-    graph: A @{tf.Graph} instance containing the graph to optimize.
+    graph: A `tf.Graph` instance containing the graph to optimize.
     fetches: An optional list of `Tensor`s to fetch (i.e. not optimize away).
       Grappler uses the 'train_op' collection to look for fetches, so if not
       provided this collection should be non-empty.
-    rewriter_config: An optional @{tf.RewriterConfig} to use when rewriting the
+    rewriter_config: An optional `tf.RewriterConfig` to use when rewriting the
       graph.
 
   Returns:
-    A @{tf.GraphDef} containing the rewritten graph.
+    A `tf.GraphDef` containing the rewritten graph.
   """
   if rewriter_config is None:
     rewriter_config = rewriter_config_pb2.RewriterConfig()
diff --git a/tensorflow/contrib/signal/python/ops/mel_ops.py b/tensorflow/contrib/signal/python/ops/mel_ops.py
index 062d84aea1..ecc2fedb9f 100644
--- a/tensorflow/contrib/signal/python/ops/mel_ops.py
+++ b/tensorflow/contrib/signal/python/ops/mel_ops.py
@@ -108,7 +108,7 @@ def linear_to_mel_weight_matrix(num_mel_bins=20,
       # `M` has shape [frames, num_mel_bins]
       M = tf.matmul(S, A)
 
-  The matrix can be used with @{tf.tensordot} to convert an arbitrary rank
+  The matrix can be used with `tf.tensordot` to convert an arbitrary rank
   `Tensor` of linear-scale spectral bins into the mel scale.
 
       # S has shape [..., num_spectrogram_bins].