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Posted to commits@mxnet.apache.org by aa...@apache.org on 2020/09/01 00:43:06 UTC
[incubator-mxnet-site] branch asf-site updated: Publish triggered
by CI
This is an automated email from the ASF dual-hosted git repository.
aaronmarkham pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new fee57ec Publish triggered by CI
fee57ec is described below
commit fee57ec22ce91475e0f5cb4aa05216ba4857c497
Author: mxnet-ci <mxnet-ci>
AuthorDate: Tue Sep 1 00:42:52 2020 +0000
Publish triggered by CI
---
api/python/docs/_modules/mxnet/test_utils.html | 2 +-
api/python/docs/_modules/mxnet/util.html | 90 +++++++++++-----------
api/python/docs/api/legacy/ndarray/ndarray.html | 2 +-
api/python/docs/api/legacy/ndarray/op/index.html | 2 +-
api/python/docs/api/legacy/symbol/op/index.html | 2 +-
api/python/docs/api/legacy/symbol/symbol.html | 2 +-
.../docs/api/npx/generated/mxnet.npx.rnn.html | 2 +-
api/python/docs/api/test_utils/index.html | 2 +-
api/python/docs/searchindex.js | 2 +-
date.txt | 1 -
feed.xml | 2 +-
11 files changed, 54 insertions(+), 55 deletions(-)
diff --git a/api/python/docs/_modules/mxnet/test_utils.html b/api/python/docs/_modules/mxnet/test_utils.html
index a38c8ee..02deea1 100644
--- a/api/python/docs/_modules/mxnet/test_utils.html
+++ b/api/python/docs/_modules/mxnet/test_utils.html
@@ -2700,7 +2700,7 @@
<span class="sd"> Provided ideal result to be compared against</span>
<span class="sd"> equal_nan : bool, optional, defaults to False</span>
<span class="sd"> Should nans be treated as equal in the comparison</span>
-<span class="sd"> use_unifrom: bool</span>
+<span class="sd"> use_uniform: bool</span>
<span class="sd"> Optional, When flag set to true,</span>
<span class="sd"> random input data generated follows uniform distribution,</span>
<span class="sd"> not normal distribution</span>
diff --git a/api/python/docs/_modules/mxnet/util.html b/api/python/docs/_modules/mxnet/util.html
index a8fa4c5..7f3c9a8 100644
--- a/api/python/docs/_modules/mxnet/util.html
+++ b/api/python/docs/_modules/mxnet/util.html
@@ -1236,7 +1236,7 @@
<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>
-<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>
+<div class="viewcode-block" id="set_np_shape"><a class="viewcode-back" href="../../api/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="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>
@@ -1280,10 +1280,10 @@
<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>
+ <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">def</span> <span class="nf">is_np_shape</span><span class="p">():</span>
+<div class="viewcode-block" id="is_np_shape"><a class="viewcode-back" href="../../api/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="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>
@@ -1314,7 +1314,7 @@
<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>
+ <span class="k">return</span> <span class="n">curr</span><span class="o">.</span><span class="n">value</span></div>
<span class="k">class</span> <span class="nc">_NumpyShapeScope</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
@@ -1345,7 +1345,7 @@
<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>
-<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>
+<div class="viewcode-block" id="np_shape"><a class="viewcode-back" href="../../api/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="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>
@@ -1411,10 +1411,10 @@
<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>
+ <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">def</span> <span class="nf">use_np_shape</span><span class="p">(</span><span class="n">func</span><span class="p">):</span>
+<div class="viewcode-block" id="use_np_shape"><a class="viewcode-back" href="../../api/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="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>
@@ -1485,7 +1485,7 @@
<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>
+ <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="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>
@@ -1495,7 +1495,7 @@
<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>
-<span class="k">def</span> <span class="nf">set_module</span><span class="p">(</span><span class="n">module</span><span class="p">):</span>
+<div class="viewcode-block" id="set_module"><a class="viewcode-back" href="../../api/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="sd">"""Decorator for overriding __module__ on a function or class.</span>
<span class="sd"> Example usage::</span>
@@ -1510,7 +1510,7 @@
<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>
+ <span class="k">return</span> <span class="n">decorator</span></div>
<span class="k">class</span> <span class="nc">_NumpyArrayScope</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
@@ -1538,7 +1538,7 @@
<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>
-<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>
+<div class="viewcode-block" id="np_array"><a class="viewcode-back" href="../../api/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="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>
@@ -1564,10 +1564,10 @@
<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>
+ <span class="k">return</span> <span class="n">_NumpyArrayScope</span><span class="p">(</span><span class="n">active</span><span class="p">)</span></div>
-<div class="viewcode-block" id="is_np_array"><a class="viewcode-back" href="../../api/legacy/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>
+<div class="viewcode-block" id="is_np_array"><a class="viewcode-back" href="../../api/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>
<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>
@@ -1590,7 +1590,7 @@
<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>
-<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>
+<div class="viewcode-block" id="use_np_array"><a class="viewcode-back" href="../../api/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="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>
@@ -1669,10 +1669,10 @@
<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>
+ <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="k">def</span> <span class="nf">use_np</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/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="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>
@@ -1732,10 +1732,10 @@
<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>
+ <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">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>
+<div class="viewcode-block" id="np_ufunc_legal_option"><a class="viewcode-back" href="../../api/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="sd">"""Checking if ufunc arguments are legal inputs</span>
<span class="sd"> Parameters</span>
@@ -1767,10 +1767,10 @@
<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>
+ <span class="k">return</span> <span class="kc">False</span></div>
-<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>
+<div class="viewcode-block" id="wrap_np_unary_func"><a class="viewcode-back" href="../../api/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="sd">"""A convenience decorator for wrapping numpy-compatible unary ufuncs to provide uniform</span>
<span class="sd"> error handling.</span>
@@ -1800,10 +1800,10 @@
<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>
+ <span class="k">return</span> <span class="n">_wrap_np_unary_func</span></div>
-<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>
+<div class="viewcode-block" id="wrap_np_binary_func"><a class="viewcode-back" href="../../api/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="sd">"""A convenience decorator for wrapping numpy-compatible binary ufuncs to provide uniform</span>
<span class="sd"> error handling.</span>
@@ -1831,11 +1831,11 @@
<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>
+ <span class="k">return</span> <span class="n">_wrap_np_binary_func</span></div>
<span class="c1"># pylint: disable=exec-used</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>
+<div class="viewcode-block" id="numpy_fallback"><a class="viewcode-back" href="../../api/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="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>
@@ -1917,7 +1917,7 @@
<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>
+ <span class="k">return</span> <span class="n">_fallback_to_official_np</span></div>
<span class="c1"># pylint: enable=exec-used</span>
@@ -1947,7 +1947,7 @@
<span class="k">return</span> <span class="n">cur_state</span>
-<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>
+<div class="viewcode-block" id="set_np"><a class="viewcode-back" href="../../api/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">False< [...]
<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>
@@ -2031,18 +2031,18 @@
<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>
+ <span class="n">set_np_default_dtype</span><span class="p">(</span><span class="n">dtype</span><span class="p">)</span></div>
-<span class="k">def</span> <span class="nf">reset_np</span><span class="p">():</span>
+<div class="viewcode-block" id="reset_np"><a class="viewcode-back" href="../../api/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="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>
+ <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">_CUDA_SUCCESS</span> <span class="o">=</span> <span class="mi">0</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>
+<div class="viewcode-block" id="get_cuda_compute_capability"><a class="viewcode-back" href="../../api/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="sd">"""Returns the cuda compute capability of the input `ctx`.</span>
<span class="sd"> Parameters</span>
@@ -2097,10 +2097,10 @@
<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>
+ <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">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>
+<div class="viewcode-block" id="default_array"><a class="viewcode-back" href="../../api/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>
<span class="sd">"""Creates an array from any object exposing the default(nd or np) array interface.</span>
<span class="sd"> Parameters</span>
@@ -2124,7 +2124,7 @@
<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>
+ <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">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>
@@ -2154,7 +2154,7 @@
<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>
-<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>
+<div class="viewcode-block" id="np_default_dtype"><a class="viewcode-back" href="../../api/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="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>
@@ -2186,9 +2186,9 @@
<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>
+ <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">def</span> <span class="nf">use_np_default_dtype</span><span class="p">(</span><span class="n">func</span><span class="p">):</span>
+<div class="viewcode-block" id="use_np_default_dtype"><a class="viewcode-back" href="../../api/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="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>
@@ -2258,9 +2258,9 @@
<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>
+ <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="k">def</span> <span class="nf">is_np_default_dtype</span><span class="p">():</span>
+<div class="viewcode-block" id="is_np_default_dtype"><a class="viewcode-back" href="../../api/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="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>
@@ -2290,9 +2290,9 @@
<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>
+ <span class="k">return</span> <span class="n">curr</span><span class="o">.</span><span class="n">value</span></div>
-<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>
+<div class="viewcode-block" id="set_np_default_dtype"><a class="viewcode-back" href="../../api/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="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>
@@ -2330,10 +2330,10 @@
<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>
+ <span class="k">return</span> <span class="n">prev</span><span class="o">.</span><span class="n">value</span></div>
-<span class="k">def</span> <span class="nf">getenv</span><span class="p">(</span><span class="n">name</span><span class="p">):</span>
+<div class="viewcode-block" id="getenv"><a class="viewcode-back" href="../../api/util/index.html#mxnet.util.getenv">[docs]</a><span class="k">def</span> <span class="nf">getenv</span><span class="p">(</span><span class="n">name</span><span class="p">):</span>
<span class="sd">"""Get the setting of an environment variable from the C Runtime.</span>
<span class="sd"> Parameters</span>
@@ -2348,10 +2348,10 @@
<span class="sd"> """</span>
<span class="n">ret</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">c_char_p</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">MXGetEnv</span><span class="p">(</span><span class="n">c_str</span><span class="p">(</span><span class="n">name</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">ret</span><span class="p">)))</span>
- <span class="k">return</span> <span class="kc">None</span> <span class="k">if</span> <span class="n">ret</span><span class="o">.</span><span class="n">value</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">py_str</span><span class="p">(</span><span class="n">ret</span><span class="o">.</span><span class="n">value</span><span class="p">)</span>
+ <span class="k">return</span> <span class="kc">None</span> <span class="k">if</span> <span class="n">ret</span><span class="o">.</span><span class="n">value</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">py_str</span><span class="p">(</span><span class="n">ret</span><span class="o">.</span><span class="n">value</span><span class="p">)</span></div>
-<span class="k">def</span> <span class="nf">setenv</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="setenv"><a class="viewcode-back" href="../../api/util/index.html#mxnet.util.setenv">[docs]</a><span class="k">def</span> <span class="nf">setenv</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 environment variable in the C Runtime.</span>
<span class="sd"> Parameters</span>
@@ -2362,7 +2362,7 @@
<span class="sd"> The desired value to set the environment value to</span>
<span class="sd"> """</span>
<span class="n">passed_value</span> <span class="o">=</span> <span class="kc">None</span> <span class="k">if</span> <span class="n">value</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">c_str</span><span class="p">(</span><span class="n">value</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">MXSetEnv</span><span class="p">(</span><span class="n">c_str</span><span class="p">(</span><span class="n">name</span><span class="p">),</span> <span class="n">passed_value</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">MXSetEnv</span><span class="p">(</span><span class="n">c_str</span><span class="p">(</span><span class="n">name</span><span class="p">),</span> <span class="n">passed_value</span><span class="p">))</span></div>
</pre></div>
<hr class="feedback-hr-top" />
diff --git a/api/python/docs/api/legacy/ndarray/ndarray.html b/api/python/docs/api/legacy/ndarray/ndarray.html
index 42a4165..54ab7b5 100644
--- a/api/python/docs/api/legacy/ndarray/ndarray.html
+++ b/api/python/docs/api/legacy/ndarray/ndarray.html
@@ -3637,7 +3637,7 @@ Recognition - Sak et al. 2014. <a class="reference external" href="https://arxiv
n_t = \tanh(W_{in} x_t + b_{in} + r_t * (W_{hn} h_{(t-1)}+ b_{hn})) \\
h_t = (1 - z_t) * n_t + z_t * h_{(t-1)} \\
\end{array}\end{split}\]</div>
-<p>Defined in /work/mxnet/src/operator/rnn.cc:L363</p>
+<p>Defined in /work/mxnet/src/operator/rnn.cc:L367</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
diff --git a/api/python/docs/api/legacy/ndarray/op/index.html b/api/python/docs/api/legacy/ndarray/op/index.html
index 1f8e511..ea5c557 100644
--- a/api/python/docs/api/legacy/ndarray/op/index.html
+++ b/api/python/docs/api/legacy/ndarray/op/index.html
@@ -3502,7 +3502,7 @@ Recognition - Sak et al. 2014. <a class="reference external" href="https://arxiv
n_t = \tanh(W_{in} x_t + b_{in} + r_t * (W_{hn} h_{(t-1)}+ b_{hn})) \\
h_t = (1 - z_t) * n_t + z_t * h_{(t-1)} \\
\end{array}\end{split}\]</div>
-<p>Defined in /work/mxnet/src/operator/rnn.cc:L363</p>
+<p>Defined in /work/mxnet/src/operator/rnn.cc:L367</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
diff --git a/api/python/docs/api/legacy/symbol/op/index.html b/api/python/docs/api/legacy/symbol/op/index.html
index c9339d1..16d7a65 100644
--- a/api/python/docs/api/legacy/symbol/op/index.html
+++ b/api/python/docs/api/legacy/symbol/op/index.html
@@ -3460,7 +3460,7 @@ Recognition - Sak et al. 2014. <a class="reference external" href="https://arxiv
n_t = \tanh(W_{in} x_t + b_{in} + r_t * (W_{hn} h_{(t-1)}+ b_{hn})) \\
h_t = (1 - z_t) * n_t + z_t * h_{(t-1)} \\
\end{array}\end{split}\]</div>
-<p>Defined in /work/mxnet/src/operator/rnn.cc:L363</p>
+<p>Defined in /work/mxnet/src/operator/rnn.cc:L367</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
diff --git a/api/python/docs/api/legacy/symbol/symbol.html b/api/python/docs/api/legacy/symbol/symbol.html
index 6f31fd4..0c74a2c 100644
--- a/api/python/docs/api/legacy/symbol/symbol.html
+++ b/api/python/docs/api/legacy/symbol/symbol.html
@@ -3526,7 +3526,7 @@ Recognition - Sak et al. 2014. <a class="reference external" href="https://arxiv
n_t = \tanh(W_{in} x_t + b_{in} + r_t * (W_{hn} h_{(t-1)}+ b_{hn})) \\
h_t = (1 - z_t) * n_t + z_t * h_{(t-1)} \\
\end{array}\end{split}\]</div>
-<p>Defined in /work/mxnet/src/operator/rnn.cc:L363</p>
+<p>Defined in /work/mxnet/src/operator/rnn.cc:L367</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
diff --git a/api/python/docs/api/npx/generated/mxnet.npx.rnn.html b/api/python/docs/api/npx/generated/mxnet.npx.rnn.html
index 94ab7a10..fa875f8 100644
--- a/api/python/docs/api/npx/generated/mxnet.npx.rnn.html
+++ b/api/python/docs/api/npx/generated/mxnet.npx.rnn.html
@@ -1251,7 +1251,7 @@ Recognition - Sak et al. 2014. <a class="reference external" href="https://arxiv
n_t = \tanh(W_{in} x_t + b_{in} + r_t * (W_{hn} h_{(t-1)}+ b_{hn})) \\
h_t = (1 - z_t) * n_t + z_t * h_{(t-1)} \\
\end{array}\end{split}\]</div>
-<p>Defined in /work/mxnet/src/operator/rnn.cc:L363</p>
+<p>Defined in /work/mxnet/src/operator/rnn.cc:L367</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
diff --git a/api/python/docs/api/test_utils/index.html b/api/python/docs/api/test_utils/index.html
index fa536db5..ea8e4bb 100644
--- a/api/python/docs/api/test_utils/index.html
+++ b/api/python/docs/api/test_utils/index.html
@@ -1558,7 +1558,7 @@ any error is found.</p></li>
<li><p><strong>raise_on_err</strong> (<em>bool</em><em>, </em><em>optional</em><em>, </em><em>defaults to True</em>) – Should an error raise an exception (or just output exception message)</p></li>
<li><p><strong>ground_truth</strong> (<em>dict of output name -> data</em><em>, </em><em>optional</em>) – Provided ideal result to be compared against</p></li>
<li><p><strong>equal_nan</strong> (<em>bool</em><em>, </em><em>optional</em><em>, </em><em>defaults to False</em>) – Should nans be treated as equal in the comparison</p></li>
-<li><p><strong>use_unifrom</strong> (<em>bool</em>) – Optional, When flag set to true,
+<li><p><strong>use_uniform</strong> (<em>bool</em>) – Optional, When flag set to true,
random input data generated follows uniform distribution,
not normal distribution</p></li>
<li><p><strong>rand_type</strong> (<em>np.dtype</em>) – casts the randomly generated data to this type
diff --git a/api/python/docs/searchindex.js b/api/python/docs/searchindex.js
index 43ee13d..ff8afeb 100644
--- a/api/python/docs/searchindex.js
+++ b/api/python/docs/searchindex.js
@@ -1 +1 @@
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+Search.setIndex({docnames:["api/autograd/index","api/context/index","api/contrib/autograd/index","api/contrib/index","api/contrib/io/index","api/contrib/ndarray/index","api/contrib/onnx/index","api/contrib/quantization/index","api/contrib/symbol/index","api/contrib/tensorboard/index","api/contrib/tensorrt/index","api/contrib/text/index","api/engine/index","api/executor/index","api/gluon/block","api/gluon/constant","api/gluon/contrib/index","api/gluon/data/index","api/gluon/data/vision/da [...]
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diff --git a/date.txt b/date.txt
deleted file mode 100644
index 4704cdf..0000000
--- a/date.txt
+++ /dev/null
@@ -1 +0,0 @@
-Mon Aug 31 18:48:55 UTC 2020
diff --git a/feed.xml b/feed.xml
index 6f6694c..f9b3ac0 100644
--- a/feed.xml
+++ b/feed.xml
@@ -1 +1 @@
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+<?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>2020-09-01T00:33:21+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 [...]
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