[DOCS] Fix some of the docs errors

apache · Feb 27, 2020 · f38200e · f38200e
1 parent 8c6a772
commit f38200e
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Showing 6 changed files with 5 additions and 116 deletions.
diff --git a/docs/api/python/index.rst b/docs/api/python/index.rst
@@ -21,7 +21,6 @@ Python API
 .. toctree::
    :maxdepth: 2
 
-   tvm
    runtime
    ndarray
    error

diff --git a/docs/api/python/relay/op.rst b/docs/api/python/relay/op.rst
@@ -18,38 +18,6 @@
 tvm.relay.op
 ------------
 .. automodule:: tvm.relay.op
-    :members:
-
-.. autofunction:: tvm.relay.op.Op
-
-.. autofunction:: tvm.relay.op.OpPattern
-
-.. autofunction:: tvm.relay.op.get
-
-.. autofunction:: tvm.relay.op.register
-
-.. autofunction:: tvm.relay.op.register_schedule
-
-.. autofunction:: tvm.relay.op.register_pattern
-
-.. autofunction:: tvm.relay.op.register_compute
-
-.. autofunction:: tvm.relay.op.register_gradient
-
-.. autofunction:: tvm.relay.op.register_alter_op_layout
-
-.. autofunction:: tvm.relay.op.schedule_injective
-
-.. autofunction:: tvm.relay.op.debug
-
-.. automodule:: tvm.relay.op.reduce
-    :members:
-
-.. automodule:: tvm.relay.op.tensor
-    :members:
-
-.. automodule:: tvm.relay.op.transform
-    :members:
-
-.. automodule:: tvm.relay.op.nn
-    :members:
+   :members:
+   :imported-members:
+   :autosummary:
diff --git a/docs/api/python/tvm.rst b/docs/api/python/tvm.rst
diff --git a/python/tvm/target/generic_func.py b/python/tvm/target/generic_func.py
@@ -116,7 +116,6 @@ def override_native_generic_func(func_name):
     .. code-block:: python
 
       import tvm
-from tvm import te
       # wrap function as target generic
       @tvm.target.override_native_generic_func("my_func")
       def my_func(a):
@@ -211,7 +210,6 @@ def generic_func(fdefault):
     .. code-block:: python
 
       import tvm
-from tvm import te
       # wrap function as target generic
       @tvm.target.generic_func
       def my_func(a):

diff --git a/tutorials/language/intrin_math.py b/tutorials/language/intrin_math.py
@@ -66,7 +66,7 @@
 # TVM intrinsic provides the user a mechanism to achieve this, and this
 # is the recommended way to solve the problem.
 # The following code use te.exp instead, which create an intrinsic call
-# :any:`te.exp` to do the exponential.
+# :py::func:`te.exp` to do the exponential.
 #
 n = te.var("n")
 A = te.placeholder((n,), name='A')

diff --git a/vta/tutorials/frontend/deploy_detection.py b/vta/tutorials/frontend/deploy_detection.py
@@ -16,7 +16,7 @@
 # under the License.
 """
 Deploy Pretrained Vision Detection Model from Darknet on VTA
-================================================
+============================================================
 **Author**: `Hua Jiang <https://github.com/huajsj>`_
 
 This tutorial provides an end-to-end demo, on how to run Darknet YoloV3-tiny