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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 64395e9 Publish triggered by CI
64395e9 is described below
commit 64395e93cf5519acc45726d62dd712f68da66df2
Author: mxnet-ci <mxnet-ci>
AuthorDate: Thu Sep 3 00:43:03 2020 +0000
Publish triggered by CI
---
.../docs/_modules/mxnet/ndarray/contrib.html | 4 +-
api/python/docs/_modules/mxnet/symbol/symbol.html | 2 -
api/python/docs/_modules/mxnet/test_utils.html | 2 -
api/python/docs/_modules/mxnet/util.html | 92 +++++++++++-----------
.../docs/api/legacy/ndarray/contrib/index.html | 3 +-
api/python/docs/api/legacy/symbol/symbol.html | 1 -
api/python/docs/api/test_utils/index.html | 1 -
api/python/docs/api/util/index.html | 5 +-
date.txt | 1 -
feed.xml | 2 +-
10 files changed, 50 insertions(+), 63 deletions(-)
diff --git a/api/python/docs/_modules/mxnet/ndarray/contrib.html
b/api/python/docs/_modules/mxnet/ndarray/contrib.html
index 2410467..8a7b685 100644
--- a/api/python/docs/_modules/mxnet/ndarray/contrib.html
+++ b/api/python/docs/_modules/mxnet/ndarray/contrib.html
@@ -1361,8 +1361,6 @@
<span class="sd"> The input data.</span>
<span class="sd"> init_states: an NDArray or nested lists of
NDArrays.</span>
<span class="sd"> The initial values of the loop states.</span>
-<span class="sd"> name: string.</span>
-<span class="sd"> The name of the operator.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
@@ -1714,7 +1712,7 @@
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
-<span class="sd"> input : NDArray</span>
+<span class="sd"> data : NDArray</span>
<span class="sd"> An N-D NDArray.</span>
<span class="sd"> Returns</span>
diff --git a/api/python/docs/_modules/mxnet/symbol/symbol.html
b/api/python/docs/_modules/mxnet/symbol/symbol.html
index d517b6d..9c81b4d 100644
--- a/api/python/docs/_modules/mxnet/symbol/symbol.html
+++ b/api/python/docs/_modules/mxnet/symbol/symbol.html
@@ -4386,8 +4386,6 @@
<span class="sd"> endpoint : bool</span>
<span class="sd"> If True, stop is the last sample. Otherwise, it is
not included.</span>
<span class="sd"> The default is True.</span>
-<span class="sd"> ctx : Context, optional</span>
-<span class="sd"> Device context. Default context is the current
default context.</span>
<span class="sd"> dtype : str or numpy.dtype, optional</span>
<span class="sd"> The data type of the `NDArray`. The default datatype
is `np.float32`.</span>
diff --git a/api/python/docs/_modules/mxnet/test_utils.html
b/api/python/docs/_modules/mxnet/test_utils.html
index 02deea1..335c442 100644
--- a/api/python/docs/_modules/mxnet/test_utils.html
+++ b/api/python/docs/_modules/mxnet/test_utils.html
@@ -1937,8 +1937,6 @@
<span class="sd"> The relative threshold. Default threshold will be
used if set to ``None``.</span>
<span class="sd"> atol : None or float or dict of dtype -> float</span>
<span class="sd"> The absolute threshold. Default threshold will be
used if set to ``None``.</span>
-<span class="sd"> threshold : None or float</span>
-<span class="sd"> The checking threshold. Default threshold will be
used if set to ``None``.</span>
<span class="sd"> etol : None or float</span>
<span class="sd"> The error rate threshold. If etol is float, return
true if error_rate < etol even if</span>
<span class="sd"> any error is found.</span>
diff --git a/api/python/docs/_modules/mxnet/util.html
b/api/python/docs/_modules/mxnet/util.html
index 7f3c9a8..8c08d05 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>
-<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="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></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/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>
@@ -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></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>
@@ -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>
-<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="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></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/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>
@@ -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></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>
@@ -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>
-<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="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></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>
@@ -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>
-<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="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></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/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/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>
<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>
-<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="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></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/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>
@@ -1725,17 +1725,17 @@
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> func : a user-provided callable function or class to be
scoped by the</span>
-<span class="sd"> NumPy-shape and NumPy-array semantics.</span>
+<span class="sd"> NumPy-shape and NumPy-array semantics.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<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/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>
@@ -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></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/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>
@@ -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></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/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>
@@ -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></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/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>
@@ -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></div>
+ <span class="k">return</span> <span
class="n">_fallback_to_official_np</span>
<span class="c1"># pylint: enable=exec-used</span>
@@ -1947,7 +1947,7 @@
<span class="k">return</span> <span class="n">cur_state</span>
-<div class="viewcode-block" id="set_np"><a class="viewcode-back"
href="../../api/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="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>
@@ -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></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/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/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>
@@ -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></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/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="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></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>
@@ -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>
-<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="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></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/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>
@@ -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></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/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>
@@ -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></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/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>
@@ -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></div>
+ <span class="k">return</span> <span class="n">prev</span><span
class="o">.</span><span class="n">value</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="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></div>
+ <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 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="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></div>
+ <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>
</pre></div>
<hr class="feedback-hr-top" />
diff --git a/api/python/docs/api/legacy/ndarray/contrib/index.html
b/api/python/docs/api/legacy/ndarray/contrib/index.html
index df77c9a..3e1165b 100644
--- a/api/python/docs/api/legacy/ndarray/contrib/index.html
+++ b/api/python/docs/api/legacy/ndarray/contrib/index.html
@@ -1573,7 +1573,6 @@ when the input data is NDArray:</p>
<li><p><strong>body</strong> (<em>a Python function.</em>) – Define
computation in an iteration.</p></li>
<li><p><strong>data</strong> (<em>an NDArray</em><em> or </em><em>a list of
NDArrays.</em>) – The input data.</p></li>
<li><p><strong>init_states</strong> (<em>an NDArray</em><em> or
</em><em>nested lists of NDArrays.</em>) – The initial values of the loop
states.</p></li>
-<li><p><strong>name</strong> (<em>string.</em>) – The name of the
operator.</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
@@ -1786,7 +1785,7 @@ positive or negative infinity.</p>
or not.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>input</strong> (<a class="reference internal"
href="../ndarray.html#mxnet.ndarray.NDArray"
title="mxnet.ndarray.NDArray"><em>NDArray</em></a>) – An N-D NDArray.</p>
+<dd class="field-odd"><p><strong>data</strong> (<a class="reference internal"
href="../ndarray.html#mxnet.ndarray.NDArray"
title="mxnet.ndarray.NDArray"><em>NDArray</em></a>) – An N-D NDArray.</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p><strong>output</strong> – The output NDarray, with
same shape as input, where 1 indicates the array element is
diff --git a/api/python/docs/api/legacy/symbol/symbol.html
b/api/python/docs/api/legacy/symbol/symbol.html
index 0c74a2c..5fd2760 100644
--- a/api/python/docs/api/legacy/symbol/symbol.html
+++ b/api/python/docs/api/legacy/symbol/symbol.html
@@ -15100,7 +15100,6 @@ when endpoint is False.</p></li>
<li><p><strong>num</strong> (<em>number</em>) – Number of samples to generate.
Must be non-negative.</p></li>
<li><p><strong>endpoint</strong> (<em>bool</em>) – If True, stop is the last
sample. Otherwise, it is not included.
The default is True.</p></li>
-<li><p><strong>ctx</strong> (<a class="reference internal"
href="../../context/index.html#mxnet.context.Context"
title="mxnet.context.Context"><em>Context</em></a><em>, </em><em>optional</em>)
– Device context. Default context is the current default context.</p></li>
<li><p><strong>dtype</strong> (<em>str</em><em> or
</em><em>numpy.dtype</em><em>, </em><em>optional</em>) – The data type of the
<cite>NDArray</cite>. The default datatype is <cite>np.float32</cite>.</p></li>
</ul>
</dd>
diff --git a/api/python/docs/api/test_utils/index.html
b/api/python/docs/api/test_utils/index.html
index ea8e4bb..0880528 100644
--- a/api/python/docs/api/test_utils/index.html
+++ b/api/python/docs/api/test_utils/index.html
@@ -1511,7 +1511,6 @@ array values are close to zero.</p>
<li><p><strong>b</strong> (<a class="reference internal"
href="../np/generated/mxnet.np.ndarray.html#mxnet.np.ndarray"
title="mxnet.np.ndarray"><em>np.ndarray</em></a>) – </p></li>
<li><p><strong>rtol</strong> (<em>None</em><em> or </em><em>float</em><em> or
</em><em>dict of dtype -> float</em>) – The relative threshold. Default
threshold will be used if set to <code class="docutils literal
notranslate"><span class="pre">None</span></code>.</p></li>
<li><p><strong>atol</strong> (<em>None</em><em> or </em><em>float</em><em> or
</em><em>dict of dtype -> float</em>) – The absolute threshold. Default
threshold will be used if set to <code class="docutils literal
notranslate"><span class="pre">None</span></code>.</p></li>
-<li><p><strong>threshold</strong> (<em>None</em><em> or </em><em>float</em>) –
The checking threshold. Default threshold will be used if set to <code
class="docutils literal notranslate"><span
class="pre">None</span></code>.</p></li>
<li><p><strong>etol</strong> (<em>None</em><em> or </em><em>float</em>) – The
error rate threshold. If etol is float, return true if error_rate < etol
even if
any error is found.</p></li>
<li><p><strong>names</strong> (<em>tuple of names</em><em>,
</em><em>optional</em>) – The names used in error message when an exception
occurs</p></li>
diff --git a/api/python/docs/api/util/index.html
b/api/python/docs/api/util/index.html
index 495cb34..a49f152 100644
--- a/api/python/docs/api/util/index.html
+++ b/api/python/docs/api/util/index.html
@@ -1827,10 +1827,7 @@ assert type(v.data()) is np.ndarray</p>
</dl>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>func</strong> (<em>a user-provided callable function</em><em>
or </em><em>class to be scoped by the</em>) – </p></li>
-<li><p><strong>and NumPy-array semantics.</strong> (<em>NumPy-shape</em>) –
</p></li>
-</ul>
+<dd class="field-odd"><p><strong>func</strong> (<em>a user-provided callable
function</em><em> or </em><em>class to be scoped by the</em>) – NumPy-shape and
NumPy-array semantics.</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>A function or class wrapped in the Numpy-shape and
NumPy-array scope.</p>
diff --git a/date.txt b/date.txt
deleted file mode 100644
index a849cc1c..0000000
--- a/date.txt
+++ /dev/null
@@ -1 +0,0 @@
-Wed Sep 2 18:44:42 UTC 2020
diff --git a/feed.xml b/feed.xml
index 709de34..f1fb49f 100644
--- a/feed.xml
+++ b/feed.xml
@@ -1 +1 @@
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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>2020-09-02T18:33:14+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>2020-09-03T00:33:40+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
