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The following commit(s) were added to refs/heads/asf-site by this push:
new 67d931b8 Publish triggered by CI
67d931b8 is described below
commit 67d931b8fa0c4f1268a7b05be31e297bf58e9c87
Author: mxnet-ci <mxnet-ci>
AuthorDate: Fri Jul 17 12:41:49 2020 +0000
Publish triggered by CI
---
api/python/docs/_modules/mxnet/gluon/block.html | 130 ++++++++++-----------
.../docs/_modules/mxnet/gluon/parameter.html | 60 +++++-----
api/python/docs/_modules/mxnet/util.html | 82 ++++++-------
date.txt | 1 -
feed.xml | 2 +-
5 files changed, 137 insertions(+), 138 deletions(-)
diff --git a/api/python/docs/_modules/mxnet/gluon/block.html
b/api/python/docs/_modules/mxnet/gluon/block.html
index f0a44f2..0cdafac 100644
--- a/api/python/docs/_modules/mxnet/gluon/block.html
+++ b/api/python/docs/_modules/mxnet/gluon/block.html
@@ -965,7 +965,7 @@
<span class="k">return</span> <span class="n">_merger</span><span
class="p">(</span><span class="n">args</span><span class="p">,</span> <span
class="n">fmt</span><span class="p">)[</span><span class="mi">0</span><span
class="p">]</span>
-<span class="k">class</span> <span class="nc">Block</span><span
class="p">:</span>
+<div class="viewcode-block" id="Block"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block">[docs]</a><span
class="k">class</span> <span class="nc">Block</span><span class="p">:</span>
<span class="sd">"""Base class for all neural network
layers and models. Your models should</span>
<span class="sd"> subclass this class.</span>
@@ -1062,7 +1062,7 @@
<span class="sd"> children's parameters)."""</span>
<span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_reg_params</span>
- <span class="k">def</span> <span class="nf">collect_params</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">select</span><span class="o">=</span><span
class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.collect_params"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.collect_params">[docs]</a>
<span class="k">def</span> <span class="nf">collect_params</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">select</span><span class="o">=</span><span
class="kc">None</span><span class="p">):</span>
<span class="sd">"""Returns a :py:class:`Dict`
containing this :py:class:`Block` and all of its</span>
<span class="sd"> children's Parameters(default), also can returns
the select :py:class:`Dict`</span>
<span class="sd"> which match some given regular expressions.</span>
@@ -1088,7 +1088,7 @@
<span class="sd"> """</span>
<span class="c1"># We need to check here because blocks inside
containers are not supported.</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_check_container_with_block</span><span class="p">()</span>
- <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_collect_params_with_prefix</span><span
class="p">(</span><span class="n">select</span><span class="o">=</span><span
class="n">select</span><span class="p">)</span>
+ <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_collect_params_with_prefix</span><span
class="p">(</span><span class="n">select</span><span class="o">=</span><span
class="n">select</span><span class="p">)</span></div>
<span class="k">def</span> <span
class="nf">_collect_params_with_prefix</span><span class="p">(</span><span
class="bp">self</span><span class="p">,</span> <span
class="n">prefix</span><span class="o">=</span><span
class="s1">''</span><span class="p">,</span> <span
class="n">select</span><span class="o">=</span><span
class="kc">None</span><span class="p">):</span>
<span class="k">if</span> <span class="n">prefix</span><span
class="p">:</span>
@@ -1103,7 +1103,7 @@
<span class="n">ret</span><span class="o">.</span><span
class="n">update</span><span class="p">(</span><span
class="n">child</span><span class="p">()</span><span class="o">.</span><span
class="n">_collect_params_with_prefix</span><span class="p">(</span><span
class="n">prefix</span> <span class="o">+</span> <span
class="n">name</span><span class="p">,</span> <span
class="n">select</span><span class="p">))</span>
<span class="k">return</span> <span class="n">ret</span>
- <span class="k">def</span> <span class="nf">save_parameters</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">filename</span><span class="p">,</span> <span
class="n">deduplicate</span><span class="o">=</span><span
class="kc">False</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.save_parameters"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.save_parameters">[docs]</a>
<span class="k">def</span> <span class="nf">save_parameters</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">filename</span><span class="p">,</span> <span
class="n">deduplicate</span><span class="o">=</span><span
class="kc">False</span><span class="p">):</span>
<span class="sd">"""Save parameters to file.</span>
<span class="sd"> Saved parameters can only be loaded with
`load_parameters`. Note that this</span>
@@ -1137,9 +1137,9 @@
<span class="n">arg_dict</span> <span class="o">=</span> <span
class="p">{</span><span class="n">key</span><span class="p">:</span> <span
class="n">val</span><span class="o">.</span><span class="n">_reduce</span><span
class="p">()</span> <span class="k">for</span> <span class="n">key</span><span
class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span
class="n">params</span><span class="o">.</span><span
class="n">items</span><span class="p">()}</span>
<span class="n">save_fn</span> <span class="o">=</span> <span
class="n">_mx_npx</span><span class="o">.</span><span class="n">save</span>
<span class="k">if</span> <span class="n">is_np_array</span><span
class="p">()</span> <span class="k">else</span> <span
class="n">ndarray</span><span class="o">.</span><span class="n">save</span>
- <span class="n">save_fn</span><span class="p">(</span><span
class="n">filename</span><span class="p">,</span> <span
class="n">arg_dict</span><span class="p">)</span>
+ <span class="n">save_fn</span><span class="p">(</span><span
class="n">filename</span><span class="p">,</span> <span
class="n">arg_dict</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">load_parameters</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">filename</span><span class="p">,</span> <span
class="n">ctx</span><span class="o">=</span><span class="kc">None</span><span
class="p">,</span> <span class="n">allow_missing</span><span
class="o">=</span><span class="kc">False</span><span class="p">,</span>
+<div class="viewcode-block" id="Block.load_parameters"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.load_parameters">[docs]</a>
<span class="k">def</span> <span class="nf">load_parameters</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">filename</span><span class="p">,</span> <span
class="n">ctx</span><span class="o">=</span><span class="kc">None</span><span
class="p">,</span> <span class="n">all [...]
<span class="n">ignore_extra</span><span
class="o">=</span><span class="kc">False</span><span class="p">,</span> <span
class="n">cast_dtype</span><span class="o">=</span><span
class="kc">False</span><span class="p">,</span> <span
class="n">dtype_source</span><span class="o">=</span><span
class="s1">'current'</span><span class="p">):</span>
<span class="sd">"""Load parameters from file
previously saved by `save_parameters`.</span>
@@ -1192,9 +1192,9 @@
<span class="k">if</span> <span class="ow">not</span> <span
class="n">loaded</span><span class="p">:</span>
<span class="k">return</span>
<span class="n">full_dict</span> <span class="o">=</span> <span
class="p">{</span><span class="s1">'params'</span><span
class="p">:</span> <span class="n">loaded</span><span class="p">,</span> <span
class="s1">'filename'</span><span class="p">:</span> <span
class="n">filename</span><span class="p">}</span>
- <span class="bp">self</span><span class="o">.</span><span
class="n">load_dict</span><span class="p">(</span><span
class="n">full_dict</span><span class="p">,</span> <span
class="n">ctx</span><span class="p">,</span> <span
class="n">allow_missing</span><span class="p">,</span> <span
class="n">ignore_extra</span><span class="p">,</span> <span
class="n">cast_dtype</span><span class="p">,</span> <span
class="n">dtype_source</span><span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span
class="n">load_dict</span><span class="p">(</span><span
class="n">full_dict</span><span class="p">,</span> <span
class="n">ctx</span><span class="p">,</span> <span
class="n">allow_missing</span><span class="p">,</span> <span
class="n">ignore_extra</span><span class="p">,</span> <span
class="n">cast_dtype</span><span class="p">,</span> <span
class="n">dtype_source</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">load_dict</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">param_dict</span><span class="p">,</span> <span
class="n">ctx</span><span class="o">=</span><span class="kc">None</span><span
class="p">,</span> <span class="n">allow_missing</span><span
class="o">=</span><span class="kc">False</span><span class="p">,</span>
+<div class="viewcode-block" id="Block.load_dict"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.load_dict">[docs]</a>
<span class="k">def</span> <span class="nf">load_dict</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">param_dict</span><span class="p">,</span> <span
class="n">ctx</span><span class="o">=</span><span class="kc">None</span><span
class="p">,</span> <span class="n">allow_missing</span [...]
<span class="n">ignore_extra</span><span
class="o">=</span><span class="kc">False</span><span class="p">,</span> <span
class="n">cast_dtype</span><span class="o">=</span><span
class="kc">False</span><span class="p">,</span> <span
class="n">dtype_source</span><span class="o">=</span><span
class="s2">"current"</span><span class="p">):</span>
<span class="sd">"""Load parameters from dict</span>
@@ -1251,16 +1251,16 @@
<span class="n">param</span> <span class="o">=</span> <span
class="n">loaded</span><span class="p">[</span><span class="n">name</span><span
class="p">]</span>
<span class="k">if</span> <span
class="nb">isinstance</span><span class="p">(</span><span
class="n">param</span><span class="p">,</span> <span class="n">np</span><span
class="o">.</span><span class="n">ndarray</span><span class="p">):</span>
<span class="n">param</span> <span class="o">=</span>
<span class="n">_mx_np</span><span class="o">.</span><span
class="n">array</span><span class="p">(</span><span class="n">param</span><span
class="p">)</span> <span class="k">if</span> <span
class="n">is_np_array</span><span class="p">()</span> <span
class="k">else</span> <span class="n">nd</span><span class="o">.</span><span
class="n">array</span><span class="p">(</span><span class="n">param</span><span
class="p">)</span>
- <span class="n">params</span><span class="p">[</span><span
class="n">name</span><span class="p">]</span><span class="o">.</span><span
class="n">_load_init</span><span class="p">(</span><span
class="n">param</span><span class="p">,</span> <span class="n">ctx</span><span
class="p">,</span> <span class="n">cast_dtype</span><span
class="o">=</span><span class="n">cast_dtype</span><span class="p">,</span>
<span class="n">dtype_source</span><span class="o">=</span><span class=" [...]
+ <span class="n">params</span><span class="p">[</span><span
class="n">name</span><span class="p">]</span><span class="o">.</span><span
class="n">_load_init</span><span class="p">(</span><span
class="n">param</span><span class="p">,</span> <span class="n">ctx</span><span
class="p">,</span> <span class="n">cast_dtype</span><span
class="o">=</span><span class="n">cast_dtype</span><span class="p">,</span>
<span class="n">dtype_source</span><span class="o">=</span><span class=" [...]
- <span class="k">def</span> <span class="nf">register_child</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">block</span><span class="p">,</span> <span class="n">name</span><span
class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.register_child"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.register_child">[docs]</a>
<span class="k">def</span> <span class="nf">register_child</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">block</span><span class="p">,</span> <span class="n">name</span><span
class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="sd">"""Registers block as a child of self.
:py:class:`Block` s assigned to self as</span>
<span class="sd"> attributes will be registered
automatically."""</span>
<span class="k">if</span> <span class="n">name</span> <span
class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">name</span> <span class="o">=</span> <span
class="nb">str</span><span class="p">(</span><span class="nb">len</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_children</span><span class="p">))</span>
- <span class="bp">self</span><span class="o">.</span><span
class="n">_children</span><span class="p">[</span><span
class="n">name</span><span class="p">]</span> <span class="o">=</span> <span
class="n">weakref</span><span class="o">.</span><span class="n">ref</span><span
class="p">(</span><span class="n">block</span><span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span
class="n">_children</span><span class="p">[</span><span
class="n">name</span><span class="p">]</span> <span class="o">=</span> <span
class="n">weakref</span><span class="o">.</span><span class="n">ref</span><span
class="p">(</span><span class="n">block</span><span class="p">)</span></div>
- <span class="k">def</span> <span
class="nf">register_forward_pre_hook</span><span class="p">(</span><span
class="bp">self</span><span class="p">,</span> <span class="n">hook</span><span
class="p">):</span>
+<div class="viewcode-block" id="Block.register_forward_pre_hook"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.register_forward_pre_hook">[docs]</a>
<span class="k">def</span> <span
class="nf">register_forward_pre_hook</span><span class="p">(</span><span
class="bp">self</span><span class="p">,</span> <span class="n">hook</span><span
class="p">):</span>
<span class="sa">r</span><span class="sd">"""Registers
a forward pre-hook on the block.</span>
<span class="sd"> The hook function is called immediately before
:func:`forward`.</span>
@@ -1277,9 +1277,9 @@
<span class="sd"> """</span>
<span class="n">handle</span> <span class="o">=</span> <span
class="n">HookHandle</span><span class="p">()</span>
<span class="n">handle</span><span class="o">.</span><span
class="n">attach</span><span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span
class="n">_forward_pre_hooks</span><span class="p">,</span> <span
class="n">hook</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">handle</span>
+ <span class="k">return</span> <span class="n">handle</span></div>
- <span class="k">def</span> <span
class="nf">register_forward_hook</span><span class="p">(</span><span
class="bp">self</span><span class="p">,</span> <span class="n">hook</span><span
class="p">):</span>
+<div class="viewcode-block" id="Block.register_forward_hook"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.register_forward_hook">[docs]</a>
<span class="k">def</span> <span
class="nf">register_forward_hook</span><span class="p">(</span><span
class="bp">self</span><span class="p">,</span> <span class="n">hook</span><span
class="p">):</span>
<span class="sa">r</span><span class="sd">"""Registers
a forward hook on the block.</span>
<span class="sd"> The hook function is called immediately after
:func:`forward`.</span>
@@ -1296,9 +1296,9 @@
<span class="sd"> """</span>
<span class="n">handle</span> <span class="o">=</span> <span
class="n">HookHandle</span><span class="p">()</span>
<span class="n">handle</span><span class="o">.</span><span
class="n">attach</span><span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span
class="n">_forward_hooks</span><span class="p">,</span> <span
class="n">hook</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">handle</span>
+ <span class="k">return</span> <span class="n">handle</span></div>
- <span class="k">def</span> <span class="nf">apply</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">fn</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.apply"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.apply">[docs]</a>
<span class="k">def</span> <span class="nf">apply</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">fn</span><span class="p">):</span>
<span class="sa">r</span><span class="sd">"""Applies
``fn`` recursively to every child block as well as self.</span>
<span class="sd"> Parameters</span>
@@ -1313,9 +1313,9 @@
<span class="k">for</span> <span class="n">cld</span> <span
class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span
class="n">_children</span><span class="o">.</span><span
class="n">values</span><span class="p">():</span>
<span class="n">cld</span><span class="p">()</span><span
class="o">.</span><span class="n">apply</span><span class="p">(</span><span
class="n">fn</span><span class="p">)</span>
<span class="n">fn</span><span class="p">(</span><span
class="bp">self</span><span class="p">)</span>
- <span class="k">return</span> <span class="bp">self</span>
+ <span class="k">return</span> <span class="bp">self</span></div>
- <span class="k">def</span> <span class="nf">initialize</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">init</span><span class="o">=</span><span
class="n">initializer</span><span class="o">.</span><span
class="n">Uniform</span><span class="p">(),</span> <span
class="n">ctx</span><span class="o">=</span><span class="kc">None</span><span
class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span
class="kc">False</spa [...]
+<div class="viewcode-block" id="Block.initialize"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.initialize">[docs]</a>
<span class="k">def</span> <span class="nf">initialize</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">init</span><span class="o">=</span><span
class="n">initializer</span><span class="o">.</span><span
class="n">Uniform</span><span class="p">(),</span> <span class="n">ctx</span><
[...]
<span class="n">force_reinit</span><span
class="o">=</span><span class="kc">False</span><span class="p">):</span>
<span class="sd">"""Initializes :py:class:`Parameter` s
of this :py:class:`Block` and its children.</span>
@@ -1335,15 +1335,15 @@
<span class="k">if</span> <span class="n">verbose</span><span
class="p">:</span>
<span class="n">init</span><span class="o">.</span><span
class="n">set_verbosity</span><span class="p">(</span><span
class="n">verbose</span><span class="o">=</span><span
class="n">verbose</span><span class="p">)</span>
<span class="k">for</span> <span class="n">v</span> <span
class="ow">in</span> <span class="n">params</span><span class="o">.</span><span
class="n">values</span><span class="p">():</span>
- <span class="n">v</span><span class="o">.</span><span
class="n">initialize</span><span class="p">(</span><span
class="kc">None</span><span class="p">,</span> <span class="n">ctx</span><span
class="p">,</span> <span class="n">init</span><span class="p">,</span> <span
class="n">force_reinit</span><span class="o">=</span><span
class="n">force_reinit</span><span class="p">)</span>
+ <span class="n">v</span><span class="o">.</span><span
class="n">initialize</span><span class="p">(</span><span
class="kc">None</span><span class="p">,</span> <span class="n">ctx</span><span
class="p">,</span> <span class="n">init</span><span class="p">,</span> <span
class="n">force_reinit</span><span class="o">=</span><span
class="n">force_reinit</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">hybridize</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">active</span><span class="o">=</span><span
class="kc">True</span><span class="p">,</span> <span class="o">**</span><span
class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.hybridize"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.hybridize">[docs]</a>
<span class="k">def</span> <span class="nf">hybridize</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">active</span><span class="o">=</span><span
class="kc">True</span><span class="p">,</span> <span class="o">**</span><span
class="n">kwargs</span><span class="p">):</span>
<span class="sd">""" Please refer description of
HybridBlock hybridize().</span>
<span class="sd"> """</span>
<span class="k">for</span> <span class="n">cld</span> <span
class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span
class="n">_children</span><span class="o">.</span><span
class="n">values</span><span class="p">():</span>
- <span class="n">cld</span><span class="p">()</span><span
class="o">.</span><span class="n">hybridize</span><span class="p">(</span><span
class="n">active</span><span class="p">,</span> <span class="o">**</span><span
class="n">kwargs</span><span class="p">)</span>
+ <span class="n">cld</span><span class="p">()</span><span
class="o">.</span><span class="n">hybridize</span><span class="p">(</span><span
class="n">active</span><span class="p">,</span> <span class="o">**</span><span
class="n">kwargs</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">cast</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">dtype</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.cast"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.cast">[docs]</a>
<span class="k">def</span> <span class="nf">cast</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">dtype</span><span class="p">):</span>
<span class="sd">"""Cast this Block to use another data
type.</span>
<span class="sd"> Parameters</span>
@@ -1354,9 +1354,9 @@
<span class="k">for</span> <span class="n">child</span> <span
class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span
class="n">_children</span><span class="o">.</span><span
class="n">values</span><span class="p">():</span>
<span class="n">child</span><span class="p">()</span><span
class="o">.</span><span class="n">cast</span><span class="p">(</span><span
class="n">dtype</span><span class="p">)</span>
<span class="k">for</span> <span class="n">_</span><span
class="p">,</span> <span class="n">param</span> <span class="ow">in</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">params</span><span class="o">.</span><span
class="n">items</span><span class="p">():</span>
- <span class="n">param</span><span class="o">.</span><span
class="n">cast</span><span class="p">(</span><span class="n">dtype</span><span
class="p">)</span>
+ <span class="n">param</span><span class="o">.</span><span
class="n">cast</span><span class="p">(</span><span class="n">dtype</span><span
class="p">)</span></div>
- <span class="k">def</span> <span class="nf">zero_grad</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.zero_grad"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.zero_grad">[docs]</a>
<span class="k">def</span> <span class="nf">zero_grad</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Sets all Parameters' gradient
buffer to 0."""</span>
<span class="c1"># collect gradient arrays for each ctx</span>
<span class="n">arrays</span> <span class="o">=</span> <span
class="n">defaultdict</span><span class="p">(</span><span
class="nb">list</span><span class="p">)</span>
@@ -1379,9 +1379,9 @@
<span class="n">ele</span><span class="p">[()]</span>
<span class="o">=</span> <span class="mi">0</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">for</span> <span class="n">arr</span> <span
class="ow">in</span> <span class="n">arrays</span><span class="o">.</span><span
class="n">values</span><span class="p">():</span>
- <span class="n">ndarray</span><span class="o">.</span><span
class="n">reset_arrays</span><span class="p">(</span><span
class="o">*</span><span class="n">arr</span><span class="p">,</span> <span
class="n">num_arrays</span><span class="o">=</span><span
class="nb">len</span><span class="p">(</span><span class="n">arr</span><span
class="p">))</span>
+ <span class="n">ndarray</span><span class="o">.</span><span
class="n">reset_arrays</span><span class="p">(</span><span
class="o">*</span><span class="n">arr</span><span class="p">,</span> <span
class="n">num_arrays</span><span class="o">=</span><span
class="nb">len</span><span class="p">(</span><span class="n">arr</span><span
class="p">))</span></div>
- <span class="k">def</span> <span class="nf">reset_ctx</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">ctx</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.reset_ctx"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.reset_ctx">[docs]</a>
<span class="k">def</span> <span class="nf">reset_ctx</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">ctx</span><span class="p">):</span>
<span class="sd">"""Re-assign all Parameters to other
contexts.</span>
<span class="sd"> Parameters</span>
@@ -1392,9 +1392,9 @@
<span class="sd"> """</span>
<span class="n">params</span> <span class="o">=</span> <span
class="bp">self</span><span class="o">.</span><span
class="n">collect_params</span><span class="p">()</span>
<span class="k">for</span> <span class="n">i</span> <span
class="ow">in</span> <span class="n">params</span><span class="o">.</span><span
class="n">values</span><span class="p">():</span>
- <span class="n">i</span><span class="o">.</span><span
class="n">reset_ctx</span><span class="p">(</span><span
class="n">ctx</span><span class="p">)</span>
+ <span class="n">i</span><span class="o">.</span><span
class="n">reset_ctx</span><span class="p">(</span><span
class="n">ctx</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">setattr</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">name</span><span class="p">,</span> <span class="n">value</span><span
class="p">):</span>
+<div class="viewcode-block" id="Block.setattr"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.setattr">[docs]</a>
<span class="k">def</span> <span class="nf">setattr</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">name</span><span class="p">,</span> <span class="n">value</span><span
class="p">):</span>
<span class="sd">"""Set an attribute to a new value for
all Parameters.</span>
<span class="sd"> For example, set grad_req to null if you don't
need gradient w.r.t a</span>
@@ -1415,9 +1415,9 @@
<span class="sd"> """</span>
<span class="n">params</span> <span class="o">=</span> <span
class="bp">self</span><span class="o">.</span><span
class="n">collect_params</span><span class="p">()</span>
<span class="k">for</span> <span class="n">i</span> <span
class="ow">in</span> <span class="n">params</span><span class="o">.</span><span
class="n">values</span><span class="p">():</span>
- <span class="nb">setattr</span><span class="p">(</span><span
class="n">i</span><span class="p">,</span> <span class="n">name</span><span
class="p">,</span> <span class="n">value</span><span class="p">)</span>
+ <span class="nb">setattr</span><span class="p">(</span><span
class="n">i</span><span class="p">,</span> <span class="n">name</span><span
class="p">,</span> <span class="n">value</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">share_parameters</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">shared</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.share_parameters"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.share_parameters">[docs]</a>
<span class="k">def</span> <span class="nf">share_parameters</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">shared</span><span class="p">):</span>
<span class="sd">"""Share parameters recursively inside
the model.</span>
<span class="sd"> For example, if you want ``dense1`` to share
``dense0``'s weights, you can do::</span>
@@ -1456,7 +1456,7 @@
<span class="k">if</span> <span class="nb">len</span><span
class="p">(</span><span class="n">shared_set</span><span class="p">)</span>
<span class="o">></span> <span class="mi">0</span><span class="p">:</span>
<span class="k">for</span> <span class="n">name</span> <span
class="ow">in</span> <span class="n">shared_set</span><span class="p">:</span>
<span class="n">warnings</span><span class="o">.</span><span
class="n">warn</span><span class="p">(</span><span class="s2">"Parameter
name </span><span class="si">{}</span><span class="s2"> is not in the current
model!"</span><span class="o">.</span><span class="n">format</span><span
class="p">(</span><span class="n">name</span><span class="p">))</span>
- <span class="k">return</span> <span class="bp">self</span>
+ <span class="k">return</span> <span class="bp">self</span></div>
<span class="k">def</span> <span class="nf">_shared_parameters</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">shared</span><span class="p">,</span> <span
class="n">shared_set</span><span class="p">,</span> <span
class="n">prefix</span><span class="o">=</span><span
class="s2">""</span><span class="p">):</span>
<span class="k">if</span> <span class="n">prefix</span><span
class="p">:</span>
@@ -1482,7 +1482,7 @@
<span class="n">_check_all_np_ndarrays</span><span
class="p">(</span><span class="n">out</span><span class="p">)</span>
<span class="k">return</span> <span class="n">out</span>
- <span class="k">def</span> <span class="nf">forward</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="o">*</span><span class="n">args</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.forward"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.forward">[docs]</a>
<span class="k">def</span> <span class="nf">forward</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="o">*</span><span class="n">args</span><span class="p">):</span>
<span class="sd">"""Overrides to implement forward
computation using :py:class:`NDArray`. Only</span>
<span class="sd"> accepts positional arguments.</span>
@@ -1492,9 +1492,9 @@
<span class="sd"> Input tensors.</span>
<span class="sd"> """</span>
<span class="c1"># pylint: disable= invalid-name</span>
- <span class="k">raise</span> <span
class="ne">NotImplementedError</span>
+ <span class="k">raise</span> <span
class="ne">NotImplementedError</span></div>
- <span class="k">def</span> <span class="nf">register_op_hook</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">callback</span><span class="p">,</span> <span
class="n">monitor_all</span><span class="o">=</span><span
class="kc">False</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.register_op_hook"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.register_op_hook">[docs]</a>
<span class="k">def</span> <span class="nf">register_op_hook</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">callback</span><span class="p">,</span> <span
class="n">monitor_all</span><span class="o">=</span><span
class="kc">False</span><span class="p">):</span>
<span class="sd">"""Install callback monitor.</span>
<span class="sd"> Parameters</span>
@@ -1509,9 +1509,9 @@
<span class="sd"> If True, monitor both input and output, otherwise
monitor output only.</span>
<span class="sd"> """</span>
<span class="k">for</span> <span class="n">cld</span> <span
class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span
class="n">_children</span><span class="o">.</span><span
class="n">values</span><span class="p">():</span>
- <span class="n">cld</span><span class="p">()</span><span
class="o">.</span><span class="n">register_op_hook</span><span
class="p">(</span><span class="n">callback</span><span class="p">,</span> <span
class="n">monitor_all</span><span class="p">)</span>
+ <span class="n">cld</span><span class="p">()</span><span
class="o">.</span><span class="n">register_op_hook</span><span
class="p">(</span><span class="n">callback</span><span class="p">,</span> <span
class="n">monitor_all</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">summary</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="o">*</span><span class="n">inputs</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.summary"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.Block.summary">[docs]</a>
<span class="k">def</span> <span class="nf">summary</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="o">*</span><span class="n">inputs</span><span class="p">):</span>
<span class="sd">"""Print the summary of the
model's output and parameters.</span>
<span class="sd"> The network must have been initialized, and must not
have been hybridized.</span>
@@ -1620,10 +1620,10 @@
<span class="nb">print</span><span class="p">(</span><span
class="s1">'-'</span><span class="o">*</span><span
class="mi">80</span><span class="p">)</span>
<span class="k">finally</span><span class="p">:</span>
<span class="k">for</span> <span class="n">h</span> <span
class="ow">in</span> <span class="n">hooks</span><span class="p">:</span>
- <span class="n">h</span><span class="o">.</span><span
class="n">detach</span><span class="p">()</span>
+ <span class="n">h</span><span class="o">.</span><span
class="n">detach</span><span class="p">()</span></div></div>
-<span class="k">class</span> <span class="nc">HybridBlock</span><span
class="p">(</span><span class="n">Block</span><span class="p">):</span>
+<div class="viewcode-block" id="HybridBlock"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock">[docs]</a><span
class="k">class</span> <span class="nc">HybridBlock</span><span
class="p">(</span><span class="n">Block</span><span class="p">):</span>
<span class="sd">"""`HybridBlock` supports forwarding with
both Symbol and NDArray.</span>
<span class="sd"> `HybridBlock` is similar to `Block`, with a few
differences::</span>
@@ -1899,7 +1899,7 @@
<span class="n">out</span> <span class="o">=</span> <span
class="p">[</span><span class="n">out</span><span class="p">]</span>
<span class="k">return</span> <span class="n">_regroup</span><span
class="p">(</span><span class="n">out</span><span class="p">,</span> <span
class="bp">self</span><span class="o">.</span><span
class="n">_out_format</span><span class="p">)</span>
- <span class="k">def</span> <span class="nf">optimize_for</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">x</span><span class="p">,</span> <span class="o">*</span><span
class="n">args</span><span class="p">,</span> <span
class="n">backend</span><span class="o">=</span><span
class="kc">None</span><span class="p">,</span> <span
class="n">backend_opts</span><span class="o">=</span><span
class="kc">None</span><span class="p">,</span> <spa [...]
+<div class="viewcode-block" id="HybridBlock.optimize_for"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.optimize_for">[docs]</a>
<span class="k">def</span> <span class="nf">optimize_for</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">x</span><span class="p">,</span> <span class="o">*</span><span
class="n">args</span><span class="p">,</span> <span
class="n">backend</span><span class="o">=</s [...]
<span class="sd">"""Partitions the current HybridBlock
and optimizes it for a given backend</span>
<span class="sd"> without executing a forward pass. Modifies the
HybridBlock in-place.</span>
@@ -1959,14 +1959,14 @@
<span class="k">assert</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_cached_op</span><span class="p">,</span>
<span class="s2">"Gluon failed to build the cache. "</span> \
<span class="s2">"This should never
happen. "</span> \
<span class="s2">"Please submit an issue
on Github"</span> \
- <span class="s2">"
https://github.com/apache/incubator-mxnet."</span>
+ <span class="s2">"
https://github.com/apache/incubator-mxnet."</span></div>
<span class="c1"># do not actually call the cached_op</span>
<span class="k">def</span> <span class="nf">_clear_cached_op</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_cached_graph</span> <span class="o">=</span> <span
class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_cached_op</span> <span class="o">=</span> <span
class="kc">None</span>
- <span class="k">def</span> <span class="nf">register_child</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">block</span><span class="p">,</span> <span class="n">name</span><span
class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="HybridBlock.register_child"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.register_child">[docs]</a>
<span class="k">def</span> <span class="nf">register_child</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">block</span><span class="p">,</span> <span class="n">name</span><span
class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="k">if</span> <span class="ow">not</span> <span
class="nb">isinstance</span><span class="p">(</span><span
class="n">block</span><span class="p">,</span> <span
class="n">HybridBlock</span><span class="p">):</span>
<span class="k">raise</span> <span
class="ne">ValueError</span><span class="p">(</span>
<span class="s2">"Children of HybridBlock must also be
HybridBlock, "</span> \
@@ -1978,9 +1978,9 @@
<span class="n">warnings</span><span class="o">.</span><span
class="n">warn</span><span class="p">(</span><span class="s2">"Currently
the model has been hybridized. Automatically deactivate the hybridization
</span><span class="se">\</span>
<span class="s2"> when adding new children
block."</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_active</span> <span class="o">=</span> <span class="kc">False</span>
- <span class="bp">self</span><span class="o">.</span><span
class="n">_clear_cached_op</span><span class="p">()</span>
+ <span class="bp">self</span><span class="o">.</span><span
class="n">_clear_cached_op</span><span class="p">()</span></div>
- <span class="k">def</span> <span class="nf">hybridize</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">active</span><span class="o">=</span><span
class="kc">True</span><span class="p">,</span> <span
class="n">backend</span><span class="o">=</span><span
class="kc">None</span><span class="p">,</span> <span
class="n">backend_opts</span><span class="o">=</span><span
class="kc">None</span><span class="p">,</span> <span class="o">**</span>< [...]
+<div class="viewcode-block" id="HybridBlock.hybridize"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.hybridize">[docs]</a>
<span class="k">def</span> <span class="nf">hybridize</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">active</span><span class="o">=</span><span
class="kc">True</span><span class="p">,</span> <span
class="n">backend</span><span class="o">=</span><span class="kc">None</s [...]
<span class="sd">"""Activates or deactivates
:py:class:`HybridBlock` s recursively. Has no effect on</span>
<span class="sd"> non-hybrid children.</span>
@@ -2013,15 +2013,15 @@
<span class="n">warnings</span><span class="o">.</span><span
class="n">warn</span><span class="p">(</span><span
class="s1">'"</span><span class="si">{block}</span><span
class="s1">" is being hybridized while still having forward hook/pre-hook.
'</span>
<span class="s1">'If "</span><span
class="si">{block}</span><span class="s1">" is a child of HybridBlock, the
hooks will not take effect.'</span>
<span class="o">.</span><span
class="n">format</span><span class="p">(</span><span
class="n">block</span><span class="o">=</span><span class="bp">self</span><span
class="p">))</span>
- <span class="nb">super</span><span class="p">(</span><span
class="n">HybridBlock</span><span class="p">,</span> <span
class="bp">self</span><span class="p">)</span><span class="o">.</span><span
class="n">hybridize</span><span class="p">(</span><span
class="n">active</span><span class="p">,</span> <span class="o">**</span><span
class="n">kwargs</span><span class="p">)</span>
+ <span class="nb">super</span><span class="p">(</span><span
class="n">HybridBlock</span><span class="p">,</span> <span
class="bp">self</span><span class="p">)</span><span class="o">.</span><span
class="n">hybridize</span><span class="p">(</span><span
class="n">active</span><span class="p">,</span> <span class="o">**</span><span
class="n">kwargs</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">cast</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">dtype</span><span class="p">):</span>
+<div class="viewcode-block" id="HybridBlock.cast"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.cast">[docs]</a>
<span class="k">def</span> <span class="nf">cast</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">dtype</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_active</span><span class="p">:</span>
<span class="n">warnings</span><span class="o">.</span><span
class="n">warn</span><span class="p">(</span><span class="s2">"Currently
the model has been hybridized. Automatically deactivate the hybridization
</span><span class="se">\</span>
<span class="s2"> when cast the block to use another
data type."</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_active</span> <span class="o">=</span> <span class="kc">False</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_clear_cached_op</span><span class="p">()</span>
- <span class="nb">super</span><span class="p">(</span><span
class="n">HybridBlock</span><span class="p">,</span> <span
class="bp">self</span><span class="p">)</span><span class="o">.</span><span
class="n">cast</span><span class="p">(</span><span class="n">dtype</span><span
class="p">)</span>
+ <span class="nb">super</span><span class="p">(</span><span
class="n">HybridBlock</span><span class="p">,</span> <span
class="bp">self</span><span class="p">)</span><span class="o">.</span><span
class="n">cast</span><span class="p">(</span><span class="n">dtype</span><span
class="p">)</span></div>
<span class="k">def</span> <span class="nf">_infer_attrs</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">infer_fn</span><span class="p">,</span> <span
class="n">attr</span><span class="p">,</span> <span class="o">*</span><span
class="n">args</span><span class="p">):</span>
<span class="sd">"""Generic infer
attributes."""</span>
@@ -2039,7 +2039,7 @@
<span class="k">for</span> <span class="n">i</span> <span
class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span
class="n">collect_params</span><span class="p">()</span><span
class="o">.</span><span class="n">values</span><span class="p">():</span>
<span class="nb">setattr</span><span class="p">(</span><span
class="n">i</span><span class="p">,</span> <span class="n">attr</span><span
class="p">,</span> <span class="n">sdict</span><span class="p">[</span><span
class="n">i</span><span class="o">.</span><span class="n">var</span><span
class="p">()</span><span class="o">.</span><span class="n">name</span><span
class="p">])</span>
- <span class="k">def</span> <span class="nf">infer_shape</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="o">*</span><span class="n">args</span><span class="p">):</span>
+<div class="viewcode-block" id="HybridBlock.infer_shape"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.infer_shape">[docs]</a>
<span class="k">def</span> <span class="nf">infer_shape</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="o">*</span><span class="n">args</span><span class="p">):</span>
<span class="sd">"""Infers shape of Parameters from
inputs."""</span>
<span class="k">if</span> <span class="bp">self</span><span
class="o">.</span><span class="n">hybrid_forward</span><span
class="o">.</span><span class="vm">__func__</span> <span class="ow">is</span>
<span class="ow">not</span> <span class="n">HybridBlock</span><span
class="o">.</span><span class="n">hybrid_forward</span><span class="p">:</span>
<span class="c1"># Gluon 1 based on F: hybrid_forward is defined
by user</span>
@@ -2054,13 +2054,13 @@
<span class="s2">"</span><span
class="si">{name}</span><span class="s2"> has parameters with unknown shape.
You need to either specify the shape "</span>
<span class="s2">"in __init__ or implement
</span><span class="si">{name}</span><span class="s2">.infer_shape to set the
parameter shapes "</span>
<span class="s2">"based on the first input.
Parameters with unknown shapes are </span><span class="si">{params}</span><span
class="s2">"</span><span class="o">.</span><span
class="n">format</span><span class="p">(</span>
- <span class="n">name</span><span
class="o">=</span><span class="nb">type</span><span class="p">(</span><span
class="bp">self</span><span class="p">)</span><span class="o">.</span><span
class="vm">__name__</span><span class="p">,</span> <span
class="n">params</span><span class="o">=</span><span
class="n">params_str</span><span class="p">))</span>
+ <span class="n">name</span><span
class="o">=</span><span class="nb">type</span><span class="p">(</span><span
class="bp">self</span><span class="p">)</span><span class="o">.</span><span
class="vm">__name__</span><span class="p">,</span> <span
class="n">params</span><span class="o">=</span><span
class="n">params_str</span><span class="p">))</span></div>
- <span class="k">def</span> <span class="nf">infer_type</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="o">*</span><span class="n">args</span><span class="p">):</span>
+<div class="viewcode-block" id="HybridBlock.infer_type"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.infer_type">[docs]</a>
<span class="k">def</span> <span class="nf">infer_type</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="o">*</span><span class="n">args</span><span class="p">):</span>
<span class="sd">"""Infers data type of Parameters from
inputs."""</span>
- <span class="bp">self</span><span class="o">.</span><span
class="n">_infer_attrs</span><span class="p">(</span><span
class="s1">'infer_type'</span><span class="p">,</span> <span
class="s1">'dtype'</span><span class="p">,</span> <span
class="o">*</span><span class="n">args</span><span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span
class="n">_infer_attrs</span><span class="p">(</span><span
class="s1">'infer_type'</span><span class="p">,</span> <span
class="s1">'dtype'</span><span class="p">,</span> <span
class="o">*</span><span class="n">args</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">export</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">path</span><span class="p">,</span> <span class="n">epoch</span><span
class="o">=</span><span class="mi">0</span><span class="p">,</span> <span
class="n">remove_amp_cast</span><span class="o">=</span><span
class="kc">True</span><span class="p">):</span>
+<div class="viewcode-block" id="HybridBlock.export"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.export">[docs]</a>
<span class="k">def</span> <span class="nf">export</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">path</span><span class="p">,</span> <span class="n">epoch</span><span
class="o">=</span><span class="mi">0</span><span class="p">,</span> <span
class="n">remove_amp_cast</span>< [...]
<span class="sd">"""Export HybridBlock to json format
that can be loaded by</span>
<span class="sd"> `gluon.SymbolBlock.imports` or the C++
interface.</span>
@@ -2117,9 +2117,9 @@
<span class="n">save_fn</span> <span class="o">=</span> <span
class="n">_mx_npx</span><span class="o">.</span><span class="n">save</span>
<span class="k">if</span> <span class="n">is_np_array</span><span
class="p">()</span> <span class="k">else</span> <span
class="n">ndarray</span><span class="o">.</span><span class="n">save</span>
<span class="n">params_filename</span> <span class="o">=</span> <span
class="s1">'</span><span class="si">%s</span><span class="s1">-</span><span
class="si">%04d</span><span class="s1">.params'</span><span
class="o">%</span><span class="p">(</span><span class="n">path</span><span
class="p">,</span> <span class="n">epoch</span><span class="p">)</span>
<span class="n">save_fn</span><span class="p">(</span><span
class="n">params_filename</span><span class="p">,</span> <span
class="n">arg_dict</span><span class="p">)</span>
- <span class="k">return</span> <span class="p">(</span><span
class="n">sym_filename</span><span class="p">,</span> <span
class="n">params_filename</span><span class="p">)</span>
+ <span class="k">return</span> <span class="p">(</span><span
class="n">sym_filename</span><span class="p">,</span> <span
class="n">params_filename</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">register_op_hook</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">callback</span><span class="p">,</span> <span
class="n">monitor_all</span><span class="o">=</span><span
class="kc">False</span><span class="p">):</span>
+<div class="viewcode-block" id="HybridBlock.register_op_hook"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.register_op_hook">[docs]</a>
<span class="k">def</span> <span class="nf">register_op_hook</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">callback</span><span class="p">,</span> <span
class="n">monitor_all</span><span class="o">=</span><span
class="kc">False</span><span class="p">):</span>
<span class="sd">"""Install op hook for block
recursively.</span>
<span class="sd"> Parameters</span>
@@ -2146,7 +2146,7 @@
<span class="bp">self</span><span class="o">.</span><span
class="n">_monitor_all</span> <span class="o">=</span> <span
class="n">monitor_all</span>
<span class="k">for</span> <span class="n">cld</span> <span
class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span
class="n">_children</span><span class="o">.</span><span
class="n">values</span><span class="p">():</span>
<span class="n">cld</span><span class="p">()</span><span
class="o">.</span><span class="n">_callback</span> <span class="o">=</span>
<span class="n">c_callback</span>
- <span class="n">cld</span><span class="p">()</span><span
class="o">.</span><span class="n">_monitor_all</span> <span class="o">=</span>
<span class="n">monitor_all</span>
+ <span class="n">cld</span><span class="p">()</span><span
class="o">.</span><span class="n">_monitor_all</span> <span class="o">=</span>
<span class="n">monitor_all</span></div>
<span class="k">def</span> <span class="fm">__call__</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">x</span><span class="p">,</span> <span class="o">*</span><span
class="n">args</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span
class="o">.</span><span class="n">hybrid_forward</span><span
class="o">.</span><span class="vm">__func__</span> <span class="ow">is</span>
<span class="ow">not</span> <span class="n">HybridBlock</span><span
class="o">.</span><span class="n">hybrid_forward</span><span class="p">:</span>
@@ -2174,7 +2174,7 @@
<span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_call_cached_op</span><span
class="p">(</span><span class="n">x</span><span class="p">,</span> <span
class="o">*</span><span class="n">args</span><span class="p">)</span>
- <span class="k">def</span> <span class="nf">forward</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">x</span><span class="p">,</span> <span class="o">*</span><span
class="n">args</span><span class="p">):</span>
+<div class="viewcode-block" id="HybridBlock.forward"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.forward">[docs]</a>
<span class="k">def</span> <span class="nf">forward</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">x</span><span class="p">,</span> <span class="o">*</span><span
class="n">args</span><span class="p">):</span>
<span class="sd">"""Defines the forward computation.
Arguments can be either</span>
<span class="sd"> :py:class:`NDArray` or
:py:class:`Symbol`."""</span>
@@ -2210,9 +2210,9 @@
<span class="n">params</span> <span class="o">=</span> <span
class="p">{</span><span class="n">i</span><span class="p">:</span> <span
class="n">j</span><span class="o">.</span><span class="n">var</span><span
class="p">()</span> <span class="k">for</span> <span class="n">i</span><span
class="p">,</span> <span class="n">j</span> <span class="ow">in</span> <span
class="bp">self</span><span class="o">.</span><span
class="n">_reg_params</span><span class="o">.</span><span class="n">it [...]
<span class="k">with</span> <span class="n">_block_scope</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">hybrid_forward</span><span
class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span
class="n">x</span><span class="p">,</span> <span class="o">*</span><span
class="n">args</span><span class="p">,</span> <span class="o">**</span><span
class="n">params</span><span class="p">)</span>
+ <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">hybrid_forward</span><span
class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span
class="n">x</span><span class="p">,</span> <span class="o">*</span><span
class="n">args</span><span class="p">,</span> <span class="o">**</span><span
class="n">params</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">hybrid_forward</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">F</span><span class="p">,</span> <span class="n">x</span><span
class="p">,</span> <span class="o">*</span><span class="n">args</span><span
class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span
class="p">):</span>
+<div class="viewcode-block" id="HybridBlock.hybrid_forward"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.hybrid_forward">[docs]</a>
<span class="k">def</span> <span class="nf">hybrid_forward</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">F</span><span class="p">,</span> <span class="n">x</span><span
class="p">,</span> <span class="o">*</span><span class="n">args</span><span
class="p">,</s [...]
<span class="sd">"""Overrides to construct symbolic
graph for this `Block`.</span>
<span class="sd"> Parameters</span>
@@ -2223,9 +2223,9 @@
<span class="sd"> Additional input tensors.</span>
<span class="sd"> """</span>
<span class="c1"># pylint: disable= invalid-name</span>
- <span class="k">raise</span> <span
class="ne">NotImplementedError</span>
+ <span class="k">raise</span> <span
class="ne">NotImplementedError</span></div>
- <span class="k">def</span> <span class="nf">reset_ctx</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">ctx</span><span class="p">):</span>
+<div class="viewcode-block" id="HybridBlock.reset_ctx"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.reset_ctx">[docs]</a>
<span class="k">def</span> <span class="nf">reset_ctx</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">ctx</span><span class="p">):</span>
<span class="sd">"""Re-assign all Parameters to other
contexts. If the Block is hybridized, it will reset the _cached_op_args.</span>
<span class="sd"> Parameters</span>
@@ -2241,9 +2241,9 @@
<span class="k">if</span> <span class="n">p</span><span
class="o">.</span><span class="n">name</span> <span class="ow">not</span> <span
class="ow">in</span> <span class="n">params</span><span class="p">:</span>
<span class="n">p</span><span class="o">.</span><span
class="n">reset_ctx</span><span class="p">(</span><span
class="n">ctx</span><span class="p">)</span>
<span class="k">for</span> <span class="n">p</span> <span
class="ow">in</span> <span class="n">params</span><span class="o">.</span><span
class="n">values</span><span class="p">():</span>
- <span class="n">p</span><span class="o">.</span><span
class="n">reset_ctx</span><span class="p">(</span><span
class="n">ctx</span><span class="p">)</span>
+ <span class="n">p</span><span class="o">.</span><span
class="n">reset_ctx</span><span class="p">(</span><span
class="n">ctx</span><span class="p">)</span></div></div>
-<div class="viewcode-block" id="SymbolBlock"><a class="viewcode-back"
href="../../../api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock">[docs]</a><span
class="k">class</span> <span class="nc">SymbolBlock</span><span
class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
+<div class="viewcode-block" id="SymbolBlock"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.SymbolBlock">[docs]</a><span
class="k">class</span> <span class="nc">SymbolBlock</span><span
class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
<span class="sd">"""Construct block from symbol. This is
useful for using pre-trained models</span>
<span class="sd"> as feature extractors. For example, you may want to
extract the output</span>
<span class="sd"> from fc2 layer in AlexNet.</span>
@@ -2274,7 +2274,7 @@
<span class="sd"> >>> x = mx.nd.random.normal(shape=(16, 3, 224,
224))</span>
<span class="sd"> >>> print(feat_model(x))</span>
<span class="sd"> """</span>
-<div class="viewcode-block" id="SymbolBlock.imports"><a class="viewcode-back"
href="../../../api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.imports">[docs]</a>
<span class="nd">@staticmethod</span>
+<div class="viewcode-block" id="SymbolBlock.imports"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.SymbolBlock.imports">[docs]</a>
<span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">imports</span><span
class="p">(</span><span class="n">symbol_file</span><span class="p">,</span>
<span class="n">input_names</span><span class="p">,</span> <span
class="n">param_file</span><span class="o">=</span><span
class="kc">None</span><span class="p">,</span> <span class="n">ctx</span><span
class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="sd">"""Import model previously saved by
`gluon.HybridBlock.export`</span>
<span class="sd"> as a `gluon.SymbolBlock` for use in Gluon.</span>
@@ -2397,7 +2397,7 @@
<span class="bp">self</span><span class="o">.</span><span
class="n">_cached_graph</span> <span class="o">=</span> <span
class="n">syms</span><span class="p">,</span> <span class="n">out</span>
-<div class="viewcode-block" id="SymbolBlock.forward"><a class="viewcode-back"
href="../../../api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.forward">[docs]</a>
<span class="k">def</span> <span class="nf">forward</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">x</span><span class="p">,</span> <span class="o">*</span><span
class="n">args</span><span class="p">):</span>
+<div class="viewcode-block" id="SymbolBlock.forward"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.SymbolBlock.forward">[docs]</a>
<span class="k">def</span> <span class="nf">forward</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">x</span><span class="p">,</span> <span class="o">*</span><span
class="n">args</span><span class="p">):</span>
<span class="k">if</span> <span class="n">dc</span><span
class="o">.</span><span class="n">is_deferred_compute</span><span
class="p">():</span>
<span class="k">raise</span> <span
class="ne">RuntimeError</span><span class="p">(</span><span
class="s1">'Calling a SymbolBlock from within HybridBlock '</span>
<span class="s1">'is not yet supported in
Gluon 2.'</span><span class="p">)</span>
@@ -2420,7 +2420,7 @@
<span class="nb">super</span><span class="p">(</span><span
class="n">SymbolBlock</span><span class="p">,</span> <span
class="bp">self</span><span class="p">)</span><span class="o">.</span><span
class="n">_clear_cached_op</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_cached_graph</span> <span class="o">=</span> <span
class="n">tmp</span>
-<div class="viewcode-block" id="SymbolBlock.cast"><a class="viewcode-back"
href="../../../api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.cast">[docs]</a>
<span class="k">def</span> <span class="nf">cast</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">dtype</span><span class="p">):</span>
+<div class="viewcode-block" id="SymbolBlock.cast"><a class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.SymbolBlock.cast">[docs]</a>
<span class="k">def</span> <span class="nf">cast</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">dtype</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_clear_cached_op</span><span class="p">()</span>
<span class="nb">super</span><span class="p">(</span><span
class="n">SymbolBlock</span><span class="p">,</span> <span
class="bp">self</span><span class="p">)</span><span class="o">.</span><span
class="n">cast</span><span class="p">(</span><span class="n">dtype</span><span
class="p">)</span>
<span class="k">if</span> <span class="n">np</span><span
class="o">.</span><span class="n">dtype</span><span class="p">(</span><span
class="n">dtype</span><span class="p">)</span><span class="o">.</span><span
class="n">name</span> <span class="o">==</span> <span
class="s1">'float16'</span><span class="p">:</span>
@@ -2446,7 +2446,7 @@
<span class="k">for</span> <span class="n">sib</span>
<span class="ow">in</span> <span class="n">sibs</span><span class="p">:</span>
<span class="bp">self</span><span
class="o">.</span><span class="n">params</span><span class="o">.</span><span
class="n">get</span><span class="p">(</span><span class="n">sib</span><span
class="p">)</span><span class="o">.</span><span class="n">cast</span><span
class="p">(</span><span class="s1">'float32'</span><span
class="p">)</span></div>
-<div class="viewcode-block" id="SymbolBlock.hybrid_forward"><a
class="viewcode-back"
href="../../../api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.hybrid_forward">[docs]</a>
<span class="k">def</span> <span class="nf">hybrid_forward</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">F</span><span class="p">,</span> <span class="n">x</span><span
class="p">,</span> <span class="o">*</span><span class="n">args</span><span
class="p">,</ [...]
+<div class="viewcode-block" id="SymbolBlock.hybrid_forward"><a
class="viewcode-back"
href="../../../api/gluon/nn/index.html#mxnet.gluon.nn.SymbolBlock.hybrid_forward">[docs]</a>
<span class="k">def</span> <span class="nf">hybrid_forward</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">F</span><span class="p">,</span> <span class="n">x</span><span
class="p">,</span> <span class="o">*</span><span class="n">args</span><span
class="p">,</s [...]
<span class="k">raise</span> <span
class="ne">NotImplementedError</span></div></div>
<span class="k">def</span> <span class="nf">_infer_param_types</span><span
class="p">(</span><span class="n">in_params</span><span class="p">,</span>
<span class="n">out_params</span><span class="p">,</span> <span
class="n">arg_params</span><span class="p">,</span> <span
class="n">aux_params</span><span class="p">,</span> <span
class="n">default_dtype</span><span class="o">=</span><span
class="n">mx_real_t</span><span class="p">):</span>
diff --git a/api/python/docs/_modules/mxnet/gluon/parameter.html
b/api/python/docs/_modules/mxnet/gluon/parameter.html
index 909db62..c6541e5 100644
--- a/api/python/docs/_modules/mxnet/gluon/parameter.html
+++ b/api/python/docs/_modules/mxnet/gluon/parameter.html
@@ -811,7 +811,7 @@
<span class="sd">"""Error for unfinished deferred
initialization."""</span>
<span class="k">pass</span>
-<span class="k">class</span> <span class="nc">Parameter</span><span
class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<div class="viewcode-block" id="Parameter"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter">[docs]</a><span
class="k">class</span> <span class="nc">Parameter</span><span
class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="sd">"""A Container holding parameters
(weights) of Blocks.</span>
<span class="sd"> :py:class:`Parameter` holds a copy of the parameter on
each :py:class:`Context` after</span>
@@ -1182,7 +1182,7 @@
<span class="n">trainer</span><span class="o">.</span><span
class="n">_row_sparse_pull</span><span class="p">(</span><span
class="bp">self</span><span class="p">,</span> <span class="n">data</span><span
class="p">,</span> <span class="n">all_row_ids</span><span class="p">,</span>
<span class="n">full_idx</span><span class="o">=</span><span
class="kc">True</span><span class="p">)</span>
<span class="k">return</span> <span class="n">data</span>
- <span class="k">def</span> <span class="nf">initialize</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">init</span><span class="o">=</span><span class="kc">None</span><span
class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span
class="kc">None</span><span class="p">,</span> <span
class="n">default_init</span><span class="o">=</span><span
class="n">initializer</span><span class="o">.</span><span class="n">Uniform</s
[...]
+<div class="viewcode-block" id="Parameter.initialize"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.initialize">[docs]</a>
<span class="k">def</span> <span class="nf">initialize</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">init</span><span class="o">=</span><span class="kc">None</span><span
class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span
class="kc">None</span><span [...]
<span class="n">force_reinit</span><span
class="o">=</span><span class="kc">False</span><span class="p">):</span>
<span class="sd">"""Initializes parameter and gradient
arrays. Only used for :py:class:`NDArray` API.</span>
@@ -1246,9 +1246,9 @@
<span class="s2">"invalid shape:
</span><span class="si">%s</span><span class="s2">."</span><span
class="o">%</span><span class="p">(</span><span class="bp">self</span><span
class="o">.</span><span class="n">name</span><span class="p">,</span> <span
class="nb">str</span><span class="p">(</span><span class="bp">self</span><span
class="o">.</span><span class="n">shape</span><span class="p">)))</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_deferred_init</span> <span class="o">=</span> <span
class="p">(</span><span class="n">init</span><span class="p">,</span> <span
class="n">ctx</span><span class="p">,</span> <span
class="n">default_init</span><span class="p">,</span> <span
class="kc">None</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span
class="n">_finish_deferred_init</span><span class="p">()</span>
+ <span class="bp">self</span><span class="o">.</span><span
class="n">_finish_deferred_init</span><span class="p">()</span></div>
- <span class="k">def</span> <span class="nf">reset_ctx</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">ctx</span><span class="p">):</span>
+<div class="viewcode-block" id="Parameter.reset_ctx"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.reset_ctx">[docs]</a>
<span class="k">def</span> <span class="nf">reset_ctx</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">ctx</span><span class="p">):</span>
<span class="sd">"""Re-assign Parameter to other
contexts.</span>
<span class="sd"> Parameters</span>
@@ -1270,9 +1270,9 @@
<span class="bp">self</span><span class="o">.</span><span
class="n">_deferred_init</span> <span class="o">=</span> <span
class="p">(</span><span class="n">init</span><span class="p">,</span> <span
class="n">ctx</span><span class="p">,</span> <span
class="n">default_init</span><span class="p">,</span> <span
class="n">data</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span
class="ne">ValueError</span><span class="p">(</span><span
class="s2">"Cannot reset context for Parameter '</span><span
class="si">%s</span><span class="s2">' because it "</span>
- <span class="s2">"has not been
initialized."</span><span class="o">%</span><span
class="bp">self</span><span class="o">.</span><span class="n">name</span><span
class="p">)</span>
+ <span class="s2">"has not been
initialized."</span><span class="o">%</span><span
class="bp">self</span><span class="o">.</span><span class="n">name</span><span
class="p">)</span></div>
- <span class="k">def</span> <span class="nf">set_data</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">data</span><span class="p">):</span>
+<div class="viewcode-block" id="Parameter.set_data"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.set_data">[docs]</a>
<span class="k">def</span> <span class="nf">set_data</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">data</span><span class="p">):</span>
<span class="sd">"""Sets this parameter's value on
all contexts."""</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">shape</span> <span class="o">=</span> <span
class="n">data</span><span class="o">.</span><span class="n">shape</span>
@@ -1289,9 +1289,9 @@
<span class="n">trainer</span><span class="o">.</span><span
class="n">_reset_kvstore</span><span class="p">()</span>
<span class="k">for</span> <span class="n">arr</span> <span
class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span
class="n">_check_and_get</span><span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span class="n">_data</span><span
class="p">,</span> <span class="nb">list</span><span class="p">):</span>
- <span class="n">arr</span><span class="p">[:]</span> <span
class="o">=</span> <span class="n">data</span>
+ <span class="n">arr</span><span class="p">[:]</span> <span
class="o">=</span> <span class="n">data</span></div>
- <span class="k">def</span> <span class="nf">row_sparse_data</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">row_id</span><span class="p">):</span>
+<div class="viewcode-block" id="Parameter.row_sparse_data"><a
class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.row_sparse_data">[docs]</a>
<span class="k">def</span> <span class="nf">row_sparse_data</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">row_id</span><span class="p">):</span>
<span class="sd">"""Returns a copy of the
'row_sparse' parameter on the same context as row_id's.</span>
<span class="sd"> The copy only retains rows whose ids occur in
provided row ids.</span>
<span class="sd"> The parameter must have been initialized on this
context before.</span>
@@ -1309,9 +1309,9 @@
<span class="k">raise</span> <span
class="ne">RuntimeError</span><span class="p">(</span><span
class="s2">"Cannot return a copy of Parameter </span><span
class="si">%s</span><span class="s2"> via row_sparse_data() "</span> \
<span class="s2">"because its storage type
is </span><span class="si">%s</span><span class="s2">. Please use data()
instead."</span> \
<span class="o">%</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">name</span><span class="p">,</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_stype</span><span class="p">))</span>
- <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_get_row_sparse</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_data</span><span class="p">,</span> <span
class="n">row_id</span><span class="o">.</span><span class="n">ctx</span><span
class="p">,</span> <span class="n">row_id</span><span class="p">)</span>
+ <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_get_row_sparse</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_data</span><span class="p">,</span> <span
class="n">row_id</span><span class="o">.</span><span class="n">ctx</span><span
class="p">,</span> <span class="n">row_id</span><span class="p">)</span></div>
- <span class="k">def</span> <span
class="nf">list_row_sparse_data</span><span class="p">(</span><span
class="bp">self</span><span class="p">,</span> <span
class="n">row_id</span><span class="p">):</span>
+<div class="viewcode-block" id="Parameter.list_row_sparse_data"><a
class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.list_row_sparse_data">[docs]</a>
<span class="k">def</span> <span
class="nf">list_row_sparse_data</span><span class="p">(</span><span
class="bp">self</span><span class="p">,</span> <span
class="n">row_id</span><span class="p">):</span>
<span class="sd">"""Returns copies of the
'row_sparse' parameter on all contexts, in the same order</span>
<span class="sd"> as creation. The copy only retains rows whose ids
occur in provided row ids.</span>
<span class="sd"> The parameter must have been initialized
before.</span>
@@ -1329,9 +1329,9 @@
<span class="k">raise</span> <span
class="ne">RuntimeError</span><span class="p">(</span><span
class="s2">"Cannot return copies of Parameter '</span><span
class="si">%s</span><span class="s2">' on all contexts via "</span> \
<span class="s2">"list_row_sparse_data()
because its storage type is </span><span class="si">%s</span><span class="s2">.
Please "</span> \
<span class="s2">"use data()
instead."</span> <span class="o">%</span> <span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span class="n">name</span><span
class="p">,</span> <span class="bp">self</span><span class="o">.</span><span
class="n">_stype</span><span class="p">))</span>
- <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_get_row_sparse</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_data</span><span class="p">,</span> <span
class="nb">list</span><span class="p">,</span> <span
class="n">row_id</span><span class="p">)</span>
+ <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_get_row_sparse</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_data</span><span class="p">,</span> <span
class="nb">list</span><span class="p">,</span> <span
class="n">row_id</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">data</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">ctx</span><span class="o">=</span><span class="kc">None</span><span
class="p">):</span>
+<div class="viewcode-block" id="Parameter.data"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.data">[docs]</a>
<span class="k">def</span> <span class="nf">data</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">ctx</span><span class="o">=</span><span class="kc">None</span><span
class="p">):</span>
<span class="sd">"""Returns a copy of this parameter on
one context. Must have been</span>
<span class="sd"> initialized on this context before. For sparse
parameters, use</span>
<span class="sd"> :py:meth:`Parameter.row_sparse_data` instead.</span>
@@ -1351,9 +1351,9 @@
<span class="s2">"instead."</span>
<span class="o">%</span> <span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span class="n">name</span><span
class="p">,</span> <span class="nb">str</span><span class="p">(</span><span
class="n">ctx</span><span class="p">),</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_stype</span><span class="p">))</span>
<span class="n">data</span> <span class="o">=</span> <span
class="bp">self</span><span class="o">.</span><span
class="n">_check_and_get</span><span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span class="n">_data</span><span
class="p">,</span> <span class="n">ctx</span><span class="p">)</span>
<span class="n">dc</span><span class="o">.</span><span
class="n">set_variable</span><span class="p">(</span><span
class="n">data</span><span class="p">,</span> <span class="bp">self</span><span
class="o">.</span><span class="n">var</span><span class="p">())</span>
- <span class="k">return</span> <span class="n">data</span>
+ <span class="k">return</span> <span class="n">data</span></div>
- <span class="k">def</span> <span class="nf">list_data</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="Parameter.list_data"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.list_data">[docs]</a>
<span class="k">def</span> <span class="nf">list_data</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Returns copies of this parameter on
all contexts, in the same order</span>
<span class="sd"> as creation. For sparse parameters, use
:py:meth:`Parameter.list_row_sparse_data`</span>
<span class="sd"> instead.</span>
@@ -1366,9 +1366,9 @@
<span class="k">raise</span> <span
class="ne">RuntimeError</span><span class="p">(</span><span
class="s2">"Cannot return copies of Parameter '</span><span
class="si">%s</span><span class="s2">' on all contexts via "</span> \
<span class="s2">"list_data() because its
storage type is </span><span class="si">%s</span><span class="s2">. Please use
"</span> \
<span class="s2">"row_sparse_data()
instead."</span> <span class="o">%</span> <span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span class="n">name</span><span
class="p">,</span> <span class="bp">self</span><span class="o">.</span><span
class="n">_stype</span><span class="p">))</span>
- <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_check_and_get</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_data</span><span class="p">,</span> <span
class="nb">list</span><span class="p">)</span>
+ <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_check_and_get</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_data</span><span class="p">,</span> <span
class="nb">list</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">grad</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">ctx</span><span class="o">=</span><span class="kc">None</span><span
class="p">):</span>
+<div class="viewcode-block" id="Parameter.grad"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.grad">[docs]</a>
<span class="k">def</span> <span class="nf">grad</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">ctx</span><span class="o">=</span><span class="kc">None</span><span
class="p">):</span>
<span class="sd">"""Returns a gradient buffer for this
parameter on one context.</span>
<span class="sd"> Parameters</span>
@@ -1380,34 +1380,34 @@
<span class="k">raise</span> <span
class="ne">RuntimeError</span><span class="p">(</span>
<span class="s2">"Cannot get gradient array for Parameter
'</span><span class="si">%s</span><span class="s2">' "</span> \
<span class="s2">"because
grad_req='null'"</span><span class="o">%</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">name</span><span class="p">))</span>
- <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_check_and_get</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_grad</span><span class="p">,</span> <span class="n">ctx</span><span
class="p">)</span>
+ <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_check_and_get</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_grad</span><span class="p">,</span> <span class="n">ctx</span><span
class="p">)</span></div>
- <span class="k">def</span> <span class="nf">list_grad</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="Parameter.list_grad"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.list_grad">[docs]</a>
<span class="k">def</span> <span class="nf">list_grad</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Returns gradient buffers on all
contexts, in the same order</span>
<span class="sd"> as :py:meth:`values`."""</span>
<span class="k">if</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_data</span> <span class="ow">is</span> <span
class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_grad</span> <span class="ow">is</span> <span
class="kc">None</span><span class="p">:</span>
<span class="k">raise</span> <span
class="ne">RuntimeError</span><span class="p">(</span>
<span class="s2">"Cannot get gradient array for Parameter
'</span><span class="si">%s</span><span class="s2">' "</span> \
<span class="s2">"because
grad_req='null'"</span><span class="o">%</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">name</span><span class="p">))</span>
- <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_check_and_get</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_grad</span><span class="p">,</span> <span
class="nb">list</span><span class="p">)</span>
+ <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_check_and_get</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_grad</span><span class="p">,</span> <span
class="nb">list</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">list_ctx</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="Parameter.list_ctx"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.list_ctx">[docs]</a>
<span class="k">def</span> <span class="nf">list_ctx</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Returns a list of contexts this
parameter is initialized on."""</span>
<span class="k">if</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_data</span> <span class="ow">is</span> <span
class="kc">None</span><span class="p">:</span>
<span class="k">if</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_deferred_init</span><span class="p">:</span>
<span class="k">return</span> <span
class="bp">self</span><span class="o">.</span><span
class="n">_deferred_init</span><span class="p">[</span><span
class="mi">1</span><span class="p">]</span>
<span class="k">raise</span> <span
class="ne">RuntimeError</span><span class="p">(</span><span
class="s2">"Parameter '</span><span class="si">%s</span><span
class="s2">' has not been initialized"</span><span
class="o">%</span><span class="bp">self</span><span class="o">.</span><span
class="n">name</span><span class="p">)</span>
- <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_ctx_list</span>
+ <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_ctx_list</span></div>
- <span class="k">def</span> <span class="nf">zero_grad</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="Parameter.zero_grad"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.zero_grad">[docs]</a>
<span class="k">def</span> <span class="nf">zero_grad</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Sets gradient buffer on all
contexts to 0. No action is taken if</span>
<span class="sd"> parameter is uninitialized or doesn't require
gradient."""</span>
<span class="k">if</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_grad</span> <span class="ow">is</span> <span
class="kc">None</span><span class="p">:</span>
<span class="k">return</span>
<span class="k">for</span> <span class="n">i</span> <span
class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span
class="n">_grad</span><span class="p">:</span>
- <span class="n">ndarray</span><span class="o">.</span><span
class="n">zeros_like</span><span class="p">(</span><span
class="n">i</span><span class="p">,</span> <span class="n">out</span><span
class="o">=</span><span class="n">i</span><span class="p">)</span>
+ <span class="n">ndarray</span><span class="o">.</span><span
class="n">zeros_like</span><span class="p">(</span><span
class="n">i</span><span class="p">,</span> <span class="n">out</span><span
class="o">=</span><span class="n">i</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">var</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="viewcode-block" id="Parameter.var"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.var">[docs]</a>
<span class="k">def</span> <span class="nf">var</span><span
class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Returns a symbol representing this
parameter."""</span>
<span class="k">if</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_var</span> <span class="ow">is</span> <span
class="kc">None</span><span class="p">:</span>
<span class="k">if</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_var_name</span> <span class="ow">is</span>
<span class="kc">None</span><span class="p">:</span> <span class="c1">#
_var_name is set manually in SymbolBlock.import</span>
@@ -1418,9 +1418,9 @@
<span class="n">init</span><span
class="o">=</span><span class="bp">self</span><span class="o">.</span><span
class="n">init</span><span class="p">,</span> <span class="n">stype</span><span
class="o">=</span><span class="bp">self</span><span class="o">.</span><span
class="n">_stype</span><span class="p">)</span>
<span class="k">if</span> <span class="n">is_np_array</span><span
class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_var</span> <span class="o">=</span> <span
class="bp">self</span><span class="o">.</span><span class="n">_var</span><span
class="o">.</span><span class="n">as_np_ndarray</span><span class="p">()</span>
- <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_var</span>
+ <span class="k">return</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_var</span></div>
- <span class="k">def</span> <span class="nf">cast</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">dtype</span><span class="p">):</span>
+<div class="viewcode-block" id="Parameter.cast"><a class="viewcode-back"
href="../../../api/gluon/parameter.html#mxnet.gluon.Parameter.cast">[docs]</a>
<span class="k">def</span> <span class="nf">cast</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="n">dtype</span><span class="p">):</span>
<span class="sd">"""Cast data and gradient of this
Parameter to a new data type.</span>
<span class="sd"> Parameters</span>
@@ -1436,7 +1436,7 @@
<span class="k">if</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_grad</span> <span class="ow">is</span> <span
class="kc">None</span><span class="p">:</span>
<span class="k">return</span>
<span class="bp">self</span><span class="o">.</span><span
class="n">_grad</span> <span class="o">=</span> <span class="p">[</span><span
class="n">i</span><span class="o">.</span><span class="n">astype</span><span
class="p">(</span><span class="n">dtype</span><span class="p">)</span> <span
class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span
class="bp">self</span><span class="o">.</span><span class="n">_grad</span><span
class="p">]</span>
- <span class="n">autograd</span><span class="o">.</span><span
class="n">mark_variables</span><span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span class="n">_data</span><span
class="p">,</span> <span class="bp">self</span><span class="o">.</span><span
class="n">_grad</span><span class="p">,</span> <span
class="bp">self</span><span class="o">.</span><span
class="n">grad_req</span><span class="p">)</span>
+ <span class="n">autograd</span><span class="o">.</span><span
class="n">mark_variables</span><span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span class="n">_data</span><span
class="p">,</span> <span class="bp">self</span><span class="o">.</span><span
class="n">_grad</span><span class="p">,</span> <span
class="bp">self</span><span class="o">.</span><span
class="n">grad_req</span><span class="p">)</span></div>
<span class="k">def</span> <span class="nf">_check_and_setattr</span><span
class="p">(</span><span class="bp">self</span><span class="p">,</span> <span
class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">"""check and set attributes for
parameter"""</span>
@@ -1469,9 +1469,9 @@
<span class="s2">"desired '</span><span
class="si">%s</span><span class="s2">' vs stored '</span><span
class="si">%s</span><span class="s2">'."</span><span
class="o">%</span><span class="p">(</span>
<span class="bp">self</span><span
class="o">.</span><span class="n">name</span><span class="p">,</span> <span
class="n">k</span><span class="p">,</span> <span class="nb">str</span><span
class="p">(</span><span class="n">v</span><span class="p">),</span> <span
class="nb">str</span><span class="p">(</span><span
class="nb">getattr</span><span class="p">(</span><span
class="bp">self</span><span class="p">,</span> <span class="n">k</span><span
class="p">)))</span>
<span class="k">else</span><span class="p">:</span>
- <span class="nb">setattr</span><span class="p">(</span><span
class="bp">self</span><span class="p">,</span> <span class="n">k</span><span
class="p">,</span> <span class="n">v</span><span class="p">)</span>
+ <span class="nb">setattr</span><span class="p">(</span><span
class="bp">self</span><span class="p">,</span> <span class="n">k</span><span
class="p">,</span> <span class="n">v</span><span class="p">)</span></div>
-<div class="viewcode-block" id="Constant"><a class="viewcode-back"
href="../../../api/gluon/constant.html#mxnet.gluon.Constant">[docs]</a><span
class="k">class</span> <span class="nc">Constant</span><span
class="p">(</span><span class="n">Parameter</span><span class="p">):</span>
+<span class="k">class</span> <span class="nc">Constant</span><span
class="p">(</span><span class="n">Parameter</span><span class="p">):</span>
<span class="sd">"""A constant parameter for holding
immutable tensors.</span>
<span class="sd"> `Constant`s are ignored by `autograd` and `Trainer`, thus
their values</span>
<span class="sd"> will not change during training. But you can still update
their values</span>
@@ -1522,7 +1522,7 @@
<span class="k">if</span> <span class="n">req</span> <span
class="o">!=</span> <span class="s1">'null'</span><span
class="p">:</span>
<span class="n">warnings</span><span class="o">.</span><span
class="n">warn</span><span class="p">(</span><span class="s1">'Constant
parameter "</span><span class="si">{}</span><span class="s1">" does
not support '</span>
<span class="s1">'grad_req other than
"null", and new value "</span><span class="si">{}</span><span
class="s1">" '</span>
- <span class="s1">'is ignored.'</span><span
class="o">.</span><span class="n">format</span><span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span class="n">name</span><span
class="p">,</span> <span class="n">req</span><span class="p">))</span></div>
+ <span class="s1">'is ignored.'</span><span
class="o">.</span><span class="n">format</span><span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span class="n">name</span><span
class="p">,</span> <span class="n">req</span><span class="p">))</span>
</pre></div>
<hr class="feedback-hr-top" />
diff --git a/api/python/docs/_modules/mxnet/util.html
b/api/python/docs/_modules/mxnet/util.html
index 1786db1..8a2b142 100644
--- a/api/python/docs/_modules/mxnet/util.html
+++ b/api/python/docs/_modules/mxnet/util.html
@@ -817,7 +817,7 @@
<span class="k">return</span> <span class="n">free_mem</span><span
class="o">.</span><span class="n">value</span><span class="p">,</span> <span
class="n">total_mem</span><span class="o">.</span><span class="n">value</span>
-<div class="viewcode-block" id="set_np_shape"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.set_np_shape">[docs]</a><span
class="k">def</span> <span class="nf">set_np_shape</span><span
class="p">(</span><span class="n">active</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">set_np_shape</span><span
class="p">(</span><span class="n">active</span><span class="p">):</span>
<span class="sd">"""Turns on/off NumPy shape semantics, in
which `()` represents the shape of scalar tensors,</span>
<span class="sd"> and tuples with `0` elements, for example, `(0,)`, `(1,
0, 2)`, represent the shapes</span>
<span class="sd"> of zero-size tensors. This is turned off by default for
keeping backward compatibility.</span>
@@ -861,10 +861,10 @@
<span class="s1">' deactivate both of
them.'</span><span class="p">)</span>
<span class="n">prev</span> <span class="o">=</span> <span
class="n">ctypes</span><span class="o">.</span><span
class="n">c_int</span><span class="p">()</span>
<span class="n">check_call</span><span class="p">(</span><span
class="n">_LIB</span><span class="o">.</span><span
class="n">MXSetIsNumpyShape</span><span class="p">(</span><span
class="n">ctypes</span><span class="o">.</span><span
class="n">c_int</span><span class="p">(</span><span
class="n">active</span><span class="p">),</span> <span
class="n">ctypes</span><span class="o">.</span><span
class="n">byref</span><span class="p">(</span><span class="n">prev</span><span
class="p">)))</span>
- <span class="k">return</span> <span class="nb">bool</span><span
class="p">(</span><span class="n">prev</span><span class="o">.</span><span
class="n">value</span><span class="p">)</span></div>
+ <span class="k">return</span> <span class="nb">bool</span><span
class="p">(</span><span class="n">prev</span><span class="o">.</span><span
class="n">value</span><span class="p">)</span>
-<div class="viewcode-block" id="is_np_shape"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.is_np_shape">[docs]</a><span
class="k">def</span> <span class="nf">is_np_shape</span><span
class="p">():</span>
+<span class="k">def</span> <span class="nf">is_np_shape</span><span
class="p">():</span>
<span class="sd">"""Checks whether the NumPy shape
semantics is currently turned on.</span>
<span class="sd"> In NumPy shape semantics, `()` represents the shape of
scalar tensors,</span>
<span class="sd"> and tuples with `0` elements, for example, `(0,)`, `(1,
0, 2)`, represent</span>
@@ -895,7 +895,7 @@
<span class="sd"> """</span>
<span class="n">curr</span> <span class="o">=</span> <span
class="n">ctypes</span><span class="o">.</span><span
class="n">c_bool</span><span class="p">()</span>
<span class="n">check_call</span><span class="p">(</span><span
class="n">_LIB</span><span class="o">.</span><span
class="n">MXIsNumpyShape</span><span class="p">(</span><span
class="n">ctypes</span><span class="o">.</span><span
class="n">byref</span><span class="p">(</span><span class="n">curr</span><span
class="p">)))</span>
- <span class="k">return</span> <span class="n">curr</span><span
class="o">.</span><span class="n">value</span></div>
+ <span class="k">return</span> <span class="n">curr</span><span
class="o">.</span><span class="n">value</span>
<span class="k">class</span> <span class="nc">_NumpyShapeScope</span><span
class="p">(</span><span class="nb">object</span><span class="p">):</span>
@@ -926,7 +926,7 @@
<span class="n">set_np_shape</span><span class="p">(</span><span
class="bp">self</span><span class="o">.</span><span
class="n">_prev_is_np_shape</span><span class="p">)</span>
-<div class="viewcode-block" id="np_shape"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.np_shape">[docs]</a><span
class="k">def</span> <span class="nf">np_shape</span><span
class="p">(</span><span class="n">active</span><span class="o">=</span><span
class="kc">True</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">np_shape</span><span
class="p">(</span><span class="n">active</span><span class="o">=</span><span
class="kc">True</span><span class="p">):</span>
<span class="sd">"""Returns an activated/deactivated NumPy
shape scope to be used in 'with' statement</span>
<span class="sd"> and captures code that needs the NumPy shape semantics,
i.e. support of scalar and</span>
<span class="sd"> zero-size tensors.</span>
@@ -992,10 +992,10 @@
<span class="sd"> assert arg_shapes[0] == ()</span>
<span class="sd"> assert out_shapes[0] == ()</span>
<span class="sd"> """</span>
- <span class="k">return</span> <span class="n">_NumpyShapeScope</span><span
class="p">(</span><span class="n">active</span><span class="p">)</span></div>
+ <span class="k">return</span> <span class="n">_NumpyShapeScope</span><span
class="p">(</span><span class="n">active</span><span class="p">)</span>
-<div class="viewcode-block" id="use_np_shape"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.use_np_shape">[docs]</a><span
class="k">def</span> <span class="nf">use_np_shape</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">use_np_shape</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
<span class="sd">"""A decorator wrapping a function or
class with activated NumPy-shape semantics.</span>
<span class="sd"> When `func` is a function, this ensures that the
execution of the function is scoped with NumPy</span>
<span class="sd"> shape semantics, such as the support for zero-dim and
zero size tensors. When</span>
@@ -1066,7 +1066,7 @@
<span class="k">return</span> <span class="n">_with_np_shape</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span
class="p">(</span><span class="s1">'use_np_shape can only decorate classes
and callable objects, '</span>
- <span class="s1">'while received a </span><span
class="si">{}</span><span class="s1">'</span><span class="o">.</span><span
class="n">format</span><span class="p">(</span><span class="nb">str</span><span
class="p">(</span><span class="nb">type</span><span class="p">(</span><span
class="n">func</span><span class="p">))))</span></div>
+ <span class="s1">'while received a </span><span
class="si">{}</span><span class="s1">'</span><span class="o">.</span><span
class="n">format</span><span class="p">(</span><span class="nb">str</span><span
class="p">(</span><span class="nb">type</span><span class="p">(</span><span
class="n">func</span><span class="p">))))</span>
<span class="k">def</span> <span class="nf">_sanity_check_params</span><span
class="p">(</span><span class="n">func_name</span><span class="p">,</span>
<span class="n">unsupported_params</span><span class="p">,</span> <span
class="n">param_dict</span><span class="p">):</span>
@@ -1076,7 +1076,7 @@
<span class="o">.</span><span
class="n">format</span><span class="p">(</span><span
class="n">func_name</span><span class="p">,</span> <span
class="n">param_name</span><span class="p">))</span>
-<div class="viewcode-block" id="set_module"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.set_module">[docs]</a><span
class="k">def</span> <span class="nf">set_module</span><span
class="p">(</span><span class="n">module</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">set_module</span><span
class="p">(</span><span class="n">module</span><span class="p">):</span>
<span class="sd">"""Decorator for overriding __module__ on
a function or class.</span>
<span class="sd"> Example usage::</span>
@@ -1091,7 +1091,7 @@
<span class="k">if</span> <span class="n">module</span> <span
class="ow">is</span> <span class="ow">not</span> <span
class="kc">None</span><span class="p">:</span>
<span class="n">func</span><span class="o">.</span><span
class="vm">__module__</span> <span class="o">=</span> <span
class="n">module</span>
<span class="k">return</span> <span class="n">func</span>
- <span class="k">return</span> <span class="n">decorator</span></div>
+ <span class="k">return</span> <span class="n">decorator</span>
<span class="k">class</span> <span class="nc">_NumpyArrayScope</span><span
class="p">(</span><span class="nb">object</span><span class="p">):</span>
@@ -1119,7 +1119,7 @@
<span class="n">_NumpyArrayScope</span><span class="o">.</span><span
class="n">_current</span><span class="o">.</span><span class="n">value</span>
<span class="o">=</span> <span class="bp">self</span><span
class="o">.</span><span class="n">_old_scope</span>
-<div class="viewcode-block" id="np_array"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.np_array">[docs]</a><span
class="k">def</span> <span class="nf">np_array</span><span
class="p">(</span><span class="n">active</span><span class="o">=</span><span
class="kc">True</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">np_array</span><span
class="p">(</span><span class="n">active</span><span class="o">=</span><span
class="kc">True</span><span class="p">):</span>
<span class="sd">"""Returns an activated/deactivated
NumPy-array scope to be used in 'with' statement</span>
<span class="sd"> and captures code that needs the NumPy-array
semantics.</span>
@@ -1145,10 +1145,10 @@
<span class="sd"> _NumpyShapeScope</span>
<span class="sd"> A scope object for wrapping the code w/ or w/o
NumPy-shape semantics.</span>
<span class="sd"> """</span>
- <span class="k">return</span> <span class="n">_NumpyArrayScope</span><span
class="p">(</span><span class="n">active</span><span class="p">)</span></div>
+ <span class="k">return</span> <span class="n">_NumpyArrayScope</span><span
class="p">(</span><span class="n">active</span><span class="p">)</span>
-<div class="viewcode-block" id="is_np_array"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.is_np_array">[docs]</a><span
class="k">def</span> <span class="nf">is_np_array</span><span
class="p">():</span>
+<div class="viewcode-block" id="is_np_array"><a class="viewcode-back"
href="../../api/mxnet/image/index.html#mxnet.image.is_np_array">[docs]</a><span
class="k">def</span> <span class="nf">is_np_array</span><span
class="p">():</span>
<span class="sd">"""Checks whether the NumPy-array
semantics is currently turned on.</span>
<span class="sd"> This is currently used in Gluon for checking whether an
array of type `mxnet.numpy.ndarray`</span>
<span class="sd"> or `mx.nd.NDArray` should be created. For example, at the
time when a parameter</span>
@@ -1171,7 +1171,7 @@
<span class="n">_NumpyArrayScope</span><span class="o">.</span><span
class="n">_current</span><span class="p">,</span> <span
class="s2">"value"</span><span class="p">)</span> <span
class="k">else</span> <span class="kc">False</span></div>
-<div class="viewcode-block" id="use_np_array"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.use_np_array">[docs]</a><span
class="k">def</span> <span class="nf">use_np_array</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">use_np_array</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
<span class="sd">"""A decorator wrapping Gluon `Block`s and
all its methods, properties, and static functions</span>
<span class="sd"> with the semantics of NumPy-array, which means that where
ndarrays are created,</span>
<span class="sd"> `mxnet.numpy.ndarray`s should be created, instead of
legacy ndarrays of type `mx.nd.NDArray`.</span>
@@ -1250,10 +1250,10 @@
<span class="k">return</span> <span class="n">_with_np_array</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span
class="p">(</span><span class="s1">'use_np_array can only decorate classes
and callable objects, '</span>
- <span class="s1">'while received a </span><span
class="si">{}</span><span class="s1">'</span><span class="o">.</span><span
class="n">format</span><span class="p">(</span><span class="nb">str</span><span
class="p">(</span><span class="nb">type</span><span class="p">(</span><span
class="n">func</span><span class="p">))))</span></div>
+ <span class="s1">'while received a </span><span
class="si">{}</span><span class="s1">'</span><span class="o">.</span><span
class="n">format</span><span class="p">(</span><span class="nb">str</span><span
class="p">(</span><span class="nb">type</span><span class="p">(</span><span
class="n">func</span><span class="p">))))</span>
-<div class="viewcode-block" id="use_np"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.use_np">[docs]</a><span
class="k">def</span> <span class="nf">use_np</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">use_np</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
<span class="sd">"""A convenience decorator for wrapping
user provided functions and classes in the scope of</span>
<span class="sd"> both NumPy-shape and NumPy-array semantics, which means
that (1) empty tuples `()` and tuples</span>
<span class="sd"> with zeros, such as `(0, 1)`, `(1, 0, 2)`, will be
treated as scalar tensors' shapes and</span>
@@ -1313,10 +1313,10 @@
<span class="sd"> Function or class</span>
<span class="sd"> A function or class wrapped in the Numpy-shape and
NumPy-array scope.</span>
<span class="sd"> """</span>
- <span class="k">return</span> <span class="n">use_np_shape</span><span
class="p">(</span><span class="n">use_np_array</span><span
class="p">(</span><span class="n">func</span><span class="p">))</span></div>
+ <span class="k">return</span> <span class="n">use_np_shape</span><span
class="p">(</span><span class="n">use_np_array</span><span
class="p">(</span><span class="n">func</span><span class="p">))</span>
-<div class="viewcode-block" id="np_ufunc_legal_option"><a
class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.np_ufunc_legal_option">[docs]</a><span
class="k">def</span> <span class="nf">np_ufunc_legal_option</span><span
class="p">(</span><span class="n">key</span><span class="p">,</span> <span
class="n">value</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">np_ufunc_legal_option</span><span
class="p">(</span><span class="n">key</span><span class="p">,</span> <span
class="n">value</span><span class="p">):</span>
<span class="sd">"""Checking if ufunc arguments are legal
inputs</span>
<span class="sd"> Parameters</span>
@@ -1348,10 +1348,10 @@
<span class="s1">'float16'</span><span
class="p">,</span> <span class="s1">'float32'</span><span
class="p">,</span> <span class="s1">'float64'</span><span
class="p">]))</span>
<span class="k">elif</span> <span class="n">key</span> <span
class="o">==</span> <span class="s1">'subok'</span><span
class="p">:</span>
<span class="k">return</span> <span class="nb">isinstance</span><span
class="p">(</span><span class="n">value</span><span class="p">,</span> <span
class="nb">bool</span><span class="p">)</span>
- <span class="k">return</span> <span class="kc">False</span></div>
+ <span class="k">return</span> <span class="kc">False</span>
-<div class="viewcode-block" id="wrap_np_unary_func"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.wrap_np_unary_func">[docs]</a><span
class="k">def</span> <span class="nf">wrap_np_unary_func</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">wrap_np_unary_func</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
<span class="sd">"""A convenience decorator for wrapping
numpy-compatible unary ufuncs to provide uniform</span>
<span class="sd"> error handling.</span>
@@ -1381,10 +1381,10 @@
<span class="k">raise</span> <span
class="ne">TypeError</span><span class="p">(</span><span
class="s2">"</span><span class="si">{}</span><span
class="s2">=</span><span class="si">{}</span><span class="s2"> not understood
for operator </span><span class="si">{}</span><span class="s2">"</span>
<span class="o">.</span><span
class="n">format</span><span class="p">(</span><span class="n">key</span><span
class="p">,</span> <span class="n">value</span><span class="p">,</span> <span
class="n">func</span><span class="o">.</span><span
class="vm">__name__</span><span class="p">))</span>
<span class="k">return</span> <span class="n">func</span><span
class="p">(</span><span class="n">x</span><span class="p">,</span> <span
class="n">out</span><span class="o">=</span><span class="n">out</span><span
class="p">)</span>
- <span class="k">return</span> <span
class="n">_wrap_np_unary_func</span></div>
+ <span class="k">return</span> <span class="n">_wrap_np_unary_func</span>
-<div class="viewcode-block" id="wrap_np_binary_func"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.wrap_np_binary_func">[docs]</a><span
class="k">def</span> <span class="nf">wrap_np_binary_func</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">wrap_np_binary_func</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
<span class="sd">"""A convenience decorator for wrapping
numpy-compatible binary ufuncs to provide uniform</span>
<span class="sd"> error handling.</span>
@@ -1412,11 +1412,11 @@
<span class="c1"># otherwise raise TypeError with not
understood error message</span>
<span class="k">raise</span> <span
class="ne">TypeError</span><span class="p">(</span><span
class="s2">"</span><span class="si">{}</span><span class="s2">
</span><span class="si">{}</span><span class="s2"> not
understood"</span><span class="o">.</span><span
class="n">format</span><span class="p">(</span><span class="n">key</span><span
class="p">,</span> <span class="n">value</span><span class="p">))</span>
<span class="k">return</span> <span class="n">func</span><span
class="p">(</span><span class="n">x1</span><span class="p">,</span> <span
class="n">x2</span><span class="p">,</span> <span class="n">out</span><span
class="o">=</span><span class="n">out</span><span class="p">)</span>
- <span class="k">return</span> <span
class="n">_wrap_np_binary_func</span></div>
+ <span class="k">return</span> <span class="n">_wrap_np_binary_func</span>
<span class="c1"># pylint: disable=exec-used</span>
-<div class="viewcode-block" id="numpy_fallback"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.numpy_fallback">[docs]</a><span
class="k">def</span> <span class="nf">numpy_fallback</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">numpy_fallback</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
<span class="sd">"""decorator for falling back to offical
numpy for a specific function"""</span>
<span class="k">def</span> <span class="nf">get_ctx</span><span
class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span
class="n">new_ctx</span><span class="p">):</span>
<span class="k">if</span> <span class="n">ctx</span> <span
class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
@@ -1498,7 +1498,7 @@
<span class="n">ret</span> <span class="o">=</span> <span
class="n">_as_mx_np_array</span><span class="p">(</span><span
class="n">ret</span><span class="p">,</span> <span class="n">ctx</span><span
class="o">=</span><span class="n">ctx</span><span class="p">)</span>
<span class="k">return</span> <span class="n">ret</span>
- <span class="k">return</span> <span
class="n">_fallback_to_official_np</span></div>
+ <span class="k">return</span> <span
class="n">_fallback_to_official_np</span>
<span class="c1"># pylint: enable=exec-used</span>
@@ -1528,7 +1528,7 @@
<span class="k">return</span> <span class="n">cur_state</span>
-<div class="viewcode-block" id="set_np"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.set_np">[docs]</a><span
class="k">def</span> <span class="nf">set_np</span><span
class="p">(</span><span class="n">shape</span><span class="o">=</span><span
class="kc">True</span><span class="p">,</span> <span
class="n">array</span><span class="o">=</span><span class="kc">True</span><span
class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span
class="kc"> [...]
+<span class="k">def</span> <span class="nf">set_np</span><span
class="p">(</span><span class="n">shape</span><span class="o">=</span><span
class="kc">True</span><span class="p">,</span> <span
class="n">array</span><span class="o">=</span><span class="kc">True</span><span
class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span
class="kc">False</span><span class="p">):</span>
<span class="sd">"""Setting NumPy shape and array semantics
at the same time.</span>
<span class="sd"> It is required to keep NumPy shape semantics active while
activating NumPy array semantics.</span>
<span class="sd"> Deactivating NumPy shape semantics while NumPy array
semantics is still active is not allowed.</span>
@@ -1612,18 +1612,18 @@
<span class="k">raise</span> <span class="ne">ValueError</span><span
class="p">(</span><span class="s1">'NumPy Shape semantics is required in
using NumPy array semantics.'</span><span class="p">)</span>
<span class="n">_set_np_array</span><span class="p">(</span><span
class="n">array</span><span class="p">)</span>
<span class="n">set_np_shape</span><span class="p">(</span><span
class="n">shape</span><span class="p">)</span>
- <span class="n">set_np_default_dtype</span><span class="p">(</span><span
class="n">dtype</span><span class="p">)</span></div>
+ <span class="n">set_np_default_dtype</span><span class="p">(</span><span
class="n">dtype</span><span class="p">)</span>
-<div class="viewcode-block" id="reset_np"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.reset_np">[docs]</a><span
class="k">def</span> <span class="nf">reset_np</span><span class="p">():</span>
+<span class="k">def</span> <span class="nf">reset_np</span><span
class="p">():</span>
<span class="sd">"""Deactivate NumPy shape and array and
deafult dtype semantics at the same time."""</span>
- <span class="n">set_np</span><span class="p">(</span><span
class="n">shape</span><span class="o">=</span><span
class="kc">False</span><span class="p">,</span> <span
class="n">array</span><span class="o">=</span><span
class="kc">False</span><span class="p">,</span> <span
class="n">dtype</span><span class="o">=</span><span
class="kc">False</span><span class="p">)</span></div>
+ <span class="n">set_np</span><span class="p">(</span><span
class="n">shape</span><span class="o">=</span><span
class="kc">False</span><span class="p">,</span> <span
class="n">array</span><span class="o">=</span><span
class="kc">False</span><span class="p">,</span> <span
class="n">dtype</span><span class="o">=</span><span
class="kc">False</span><span class="p">)</span>
<span class="n">_CUDA_SUCCESS</span> <span class="o">=</span> <span
class="mi">0</span>
-<div class="viewcode-block" id="get_cuda_compute_capability"><a
class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.get_cuda_compute_capability">[docs]</a><span
class="k">def</span> <span class="nf">get_cuda_compute_capability</span><span
class="p">(</span><span class="n">ctx</span><span class="p">):</span>
+<span class="k">def</span> <span
class="nf">get_cuda_compute_capability</span><span class="p">(</span><span
class="n">ctx</span><span class="p">):</span>
<span class="sd">"""Returns the cuda compute capability of
the input `ctx`.</span>
<span class="sd"> Parameters</span>
@@ -1678,9 +1678,9 @@
<span class="n">cuda</span><span class="o">.</span><span
class="n">cuGetErrorString</span><span class="p">(</span><span
class="n">ret</span><span class="p">,</span> <span class="n">ctypes</span><span
class="o">.</span><span class="n">byref</span><span class="p">(</span><span
class="n">error_str</span><span class="p">))</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span
class="p">(</span><span class="s1">'cuDeviceComputeCapability failed with
error code </span><span class="si">{}</span><span class="s1">: </span><span
class="si">{}</span><span class="s1">'</span>
<span class="o">.</span><span
class="n">format</span><span class="p">(</span><span class="n">ret</span><span
class="p">,</span> <span class="n">error_str</span><span
class="o">.</span><span class="n">value</span><span class="o">.</span><span
class="n">decode</span><span class="p">()))</span>
- <span class="k">return</span> <span class="n">cc_major</span><span
class="o">.</span><span class="n">value</span> <span class="o">*</span> <span
class="mi">10</span> <span class="o">+</span> <span
class="n">cc_minor</span><span class="o">.</span><span
class="n">value</span></div>
+ <span class="k">return</span> <span class="n">cc_major</span><span
class="o">.</span><span class="n">value</span> <span class="o">*</span> <span
class="mi">10</span> <span class="o">+</span> <span
class="n">cc_minor</span><span class="o">.</span><span class="n">value</span>
-<div class="viewcode-block" id="default_array"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.default_array">[docs]</a><span
class="k">def</span> <span class="nf">default_array</span><span
class="p">(</span><span class="n">source_array</span><span class="p">,</span>
<span class="n">ctx</span><span class="o">=</span><span
class="kc">None</span><span class="p">,</span> <span
class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span
class="p" [...]
+<span class="k">def</span> <span class="nf">default_array</span><span
class="p">(</span><span class="n">source_array</span><span class="p">,</span>
<span class="n">ctx</span><span class="o">=</span><span
class="kc">None</span><span class="p">,</span> <span
class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span
class="p">):</span>
<span class="sd">"""Creates an array from any object
exposing the default(nd or np) array interface.</span>
<span class="sd"> Parameters</span>
@@ -1704,7 +1704,7 @@
<span class="k">if</span> <span class="n">is_np_array</span><span
class="p">():</span>
<span class="k">return</span> <span class="n">_mx_np</span><span
class="o">.</span><span class="n">array</span><span class="p">(</span><span
class="n">source_array</span><span class="p">,</span> <span
class="n">ctx</span><span class="o">=</span><span class="n">ctx</span><span
class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span
class="n">dtype</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
- <span class="k">return</span> <span class="n">_mx_nd</span><span
class="o">.</span><span class="n">array</span><span class="p">(</span><span
class="n">source_array</span><span class="p">,</span> <span
class="n">ctx</span><span class="o">=</span><span class="n">ctx</span><span
class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span
class="n">dtype</span><span class="p">)</span></div>
+ <span class="k">return</span> <span class="n">_mx_nd</span><span
class="o">.</span><span class="n">array</span><span class="p">(</span><span
class="n">source_array</span><span class="p">,</span> <span
class="n">ctx</span><span class="o">=</span><span class="n">ctx</span><span
class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span
class="n">dtype</span><span class="p">)</span>
<span class="k">class</span> <span
class="nc">_NumpyDefaultDtypeScope</span><span class="p">(</span><span
class="nb">object</span><span class="p">):</span>
<span class="sd">"""Scope for managing NumPy default dtype
semantics.</span>
@@ -1734,7 +1734,7 @@
<span class="bp">self</span><span class="o">.</span><span
class="n">_prev_is_np_default_dtype</span> <span class="o">!=</span> <span
class="bp">self</span><span class="o">.</span><span
class="n">_enter_is_np_default_dtype</span><span class="p">:</span>
<span class="n">set_np_default_dtype</span><span
class="p">(</span><span class="bp">self</span><span class="o">.</span><span
class="n">_prev_is_np_default_dtype</span><span class="p">)</span>
-<div class="viewcode-block" id="np_default_dtype"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.np_default_dtype">[docs]</a><span
class="k">def</span> <span class="nf">np_default_dtype</span><span
class="p">(</span><span class="n">active</span><span class="o">=</span><span
class="kc">True</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">np_default_dtype</span><span
class="p">(</span><span class="n">active</span><span class="o">=</span><span
class="kc">True</span><span class="p">):</span>
<span class="sd">"""Returns an activated/deactivated
NumPy-default_dtype scope to be used in 'with' statement</span>
<span class="sd"> and captures code that needs the NumPy default dtype
semantics. i.e. default dtype is float64.</span>
@@ -1766,9 +1766,9 @@
<span class="sd"> assert arr.dtype == 'float32'</span>
<span class="sd"> """</span>
- <span class="k">return</span> <span
class="n">_NumpyDefaultDtypeScope</span><span class="p">(</span><span
class="n">active</span><span class="p">)</span></div>
+ <span class="k">return</span> <span
class="n">_NumpyDefaultDtypeScope</span><span class="p">(</span><span
class="n">active</span><span class="p">)</span>
-<div class="viewcode-block" id="use_np_default_dtype"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.use_np_default_dtype">[docs]</a><span
class="k">def</span> <span class="nf">use_np_default_dtype</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">use_np_default_dtype</span><span
class="p">(</span><span class="n">func</span><span class="p">):</span>
<span class="sd">"""A decorator wrapping a function or
class with activated NumPy-default_dtype semantics.</span>
<span class="sd"> When `func` is a function, this ensures that the
execution of the function is scoped with NumPy</span>
<span class="sd"> default dtype semantics, with the support for float64 as
default dtype.</span>
@@ -1838,9 +1838,9 @@
<span class="k">return</span> <span
class="n">_with_np_default_dtype</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span
class="p">(</span><span class="s1">'use_np_default_dtype can only decorate
classes and callable objects, '</span>
- <span class="s1">'while received a </span><span
class="si">{}</span><span class="s1">'</span><span class="o">.</span><span
class="n">format</span><span class="p">(</span><span class="nb">str</span><span
class="p">(</span><span class="nb">type</span><span class="p">(</span><span
class="n">func</span><span class="p">))))</span></div>
+ <span class="s1">'while received a </span><span
class="si">{}</span><span class="s1">'</span><span class="o">.</span><span
class="n">format</span><span class="p">(</span><span class="nb">str</span><span
class="p">(</span><span class="nb">type</span><span class="p">(</span><span
class="n">func</span><span class="p">))))</span>
-<div class="viewcode-block" id="is_np_default_dtype"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.is_np_default_dtype">[docs]</a><span
class="k">def</span> <span class="nf">is_np_default_dtype</span><span
class="p">():</span>
+<span class="k">def</span> <span class="nf">is_np_default_dtype</span><span
class="p">():</span>
<span class="sd">"""Checks whether the NumPy default dtype
semantics is currently turned on.</span>
<span class="sd"> In NumPy default dtype semantics, default dtype is
float64.</span>
@@ -1870,9 +1870,9 @@
<span class="sd"> """</span>
<span class="n">curr</span> <span class="o">=</span> <span
class="n">ctypes</span><span class="o">.</span><span
class="n">c_bool</span><span class="p">()</span>
<span class="n">check_call</span><span class="p">(</span><span
class="n">_LIB</span><span class="o">.</span><span
class="n">MXIsNumpyDefaultDtype</span><span class="p">(</span><span
class="n">ctypes</span><span class="o">.</span><span
class="n">byref</span><span class="p">(</span><span class="n">curr</span><span
class="p">)))</span>
- <span class="k">return</span> <span class="n">curr</span><span
class="o">.</span><span class="n">value</span></div>
+ <span class="k">return</span> <span class="n">curr</span><span
class="o">.</span><span class="n">value</span>
-<div class="viewcode-block" id="set_np_default_dtype"><a class="viewcode-back"
href="../../api/mxnet/util/index.html#mxnet.util.set_np_default_dtype">[docs]</a><span
class="k">def</span> <span class="nf">set_np_default_dtype</span><span
class="p">(</span><span class="n">is_np_default_dtype</span><span
class="o">=</span><span class="kc">True</span><span class="p">):</span> <span
class="c1"># pylint: disable=redefined-outer-name</span>
+<span class="k">def</span> <span class="nf">set_np_default_dtype</span><span
class="p">(</span><span class="n">is_np_default_dtype</span><span
class="o">=</span><span class="kc">True</span><span class="p">):</span> <span
class="c1"># pylint: disable=redefined-outer-name</span>
<span class="sd">"""Turns on/off NumPy default dtype
semantics, because mxnet.numpy.ndarray use</span>
<span class="sd"> 32 bit data storage as default (e.g. float32 and int 32)
while offical NumPy use</span>
<span class="sd"> 64 bit data storage as default (e.g. float64 and
int64).</span>
@@ -1910,7 +1910,7 @@
<span class="n">_set_np_default_dtype_logged</span> <span
class="o">=</span> <span class="kc">True</span>
<span class="n">prev</span> <span class="o">=</span> <span
class="n">ctypes</span><span class="o">.</span><span
class="n">c_bool</span><span class="p">()</span>
<span class="n">check_call</span><span class="p">(</span><span
class="n">_LIB</span><span class="o">.</span><span
class="n">MXSetIsNumpyDefaultDtype</span><span class="p">(</span><span
class="n">ctypes</span><span class="o">.</span><span
class="n">c_bool</span><span class="p">(</span><span
class="n">is_np_default_dtype</span><span class="p">),</span> <span
class="n">ctypes</span><span class="o">.</span><span
class="n">byref</span><span class="p">(</span><span class="n">prev</span><sp
[...]
- <span class="k">return</span> <span class="n">prev</span><span
class="o">.</span><span class="n">value</span></div>
+ <span class="k">return</span> <span class="n">prev</span><span
class="o">.</span><span class="n">value</span>
</pre></div>
<hr class="feedback-hr-top" />
diff --git a/date.txt b/date.txt
deleted file mode 100644
index a1bf3b8..0000000
--- a/date.txt
+++ /dev/null
@@ -1 +0,0 @@
-Fri Jul 17 06:43:35 UTC 2020
diff --git a/feed.xml b/feed.xml
index f270c48..075512e 100644
--- a/feed.xml
+++ b/feed.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8"?><feed
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/";
version="4.0.0">Jekyll</generator><link
href="https://mxnet.apache.org/feed.xml"; rel="self" type="application/atom+xml"
/><link href="https://mxnet.apache.org/"; rel="alternate" type="text/html"
/><updated>2020-07-17T06:30:36+00:00</updated><id>https://mxnet.apache.org/feed.xml</id><title
type="html">Apache MXNet</title><subtitle>A flexible and efficient library for
deep [...]
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8"?><feed
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/";
version="4.0.0">Jekyll</generator><link
href="https://mxnet.apache.org/feed.xml"; rel="self" type="application/atom+xml"
/><link href="https://mxnet.apache.org/"; rel="alternate" type="text/html"
/><updated>2020-07-17T12:29:52+00:00</updated><id>https://mxnet.apache.org/feed.xml</id><title
type="html">Apache MXNet</title><subtitle>A flexible and efficient library for
deep [...]
\ No newline at end of file
