Merge pull request #788 from fastmachinelearning/docs_071

Minor docs fixes for 0.7.1

Author: jmitrevs

docs/setup.rst

@@ -22,6 +22,9 @@ If you want to use our :doc:`profiling <api/profiling>` toolbox, you might need
 
 ``hls4ml`` is also available as a ``conda`` package in the ``conda-forge`` repository. To install, run:
 
+.. warning::
+   Version of hls4ml available on ``conda-forge`` is outdated, we recommend installing with ``pip`` to get the latest version.
+
 .. code-block::
 
    conda install -c conda-forge hls4ml

hls4ml/model/types.py

@@ -370,6 +370,7 @@ class NamedType:
 
     For convenience, hls4ml gives names to data types used in the generated HLS. This is equivalent to defining types
     in C/C++ like::
+
         typedef precision name;
 
     Args:

hls4ml/utils/config.py

@@ -99,7 +99,7 @@ def config_from_keras_model(
     Args:
         model: Keras model
         granularity (str, optional): Granularity of the created config. Defaults to 'model'.
-            Can be set to 'model', 'type' and 'layer'.
+            Can be set to 'model', 'type' and 'name'.
 
             Granularity can be used to generate a more verbose config that can be fine-tuned.
             The default granularity ('model') will generate config keys that apply to the whole