@ -22,88 +22,6 @@
"collapsed": true "collapsed": true
}, },
"outputs": [ "outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/rcosta/.local/lib/python3.6/site-packages/ipykernel_launcher.py:2: UserWarning: \n",
"This call to matplotlib.use() has no effect because the backend has already\n",
"been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
"or matplotlib.backends is imported for the first time.\n",
"\n",
"The backend was *originally* set to 'module://ipykernel.pylab.backend_inline' by the following code:\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/runpy.py\", line 193, in _run_module_as_main\n",
" \"__main__\", mod_spec)\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/runpy.py\", line 85, in _run_code\n",
" exec(code, run_globals)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/ipykernel_launcher.py\", line 16, in <module>\n",
" app.launch_new_instance()\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/site-packages/traitlets/config/application.py\", line 658, in launch_instance\n",
" app.start()\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/ipykernel/kernelapp.py\", line 486, in start\n",
" self.io_loop.start()\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/tornado/platform/asyncio.py\", line 112, in start\n",
" self.asyncio_loop.run_forever()\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/asyncio/base_events.py\", line 421, in run_forever\n",
" self._run_once()\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/asyncio/base_events.py\", line 1431, in _run_once\n",
" handle._run()\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/asyncio/events.py\", line 145, in _run\n",
" self._callback(*self._args)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/tornado/platform/asyncio.py\", line 102, in _handle_events\n",
" handler_func(fileobj, events)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/tornado/stack_context.py\", line 276, in null_wrapper\n",
" return fn(*args, **kwargs)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py\", line 450, in _handle_events\n",
" self._handle_recv()\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py\", line 480, in _handle_recv\n",
" self._run_callback(callback, msg)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py\", line 432, in _run_callback\n",
" callback(*args, **kwargs)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/tornado/stack_context.py\", line 276, in null_wrapper\n",
" return fn(*args, **kwargs)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/ipykernel/kernelbase.py\", line 283, in dispatcher\n",
" return self.dispatch_shell(stream, msg)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/ipykernel/kernelbase.py\", line 233, in dispatch_shell\n",
" handler(stream, idents, msg)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/ipykernel/kernelbase.py\", line 399, in execute_request\n",
" user_expressions, allow_stdin)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/ipykernel/ipkernel.py\", line 208, in do_execute\n",
" res = shell.run_cell(code, store_history=store_history, silent=silent)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/ipykernel/zmqshell.py\", line 537, in run_cell\n",
" return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2728, in run_cell\n",
" interactivity=interactivity, compiler=compiler, result=result)\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2856, in run_ast_nodes\n",
" if self.run_code(code, result):\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2910, in run_code\n",
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
" File \"<ipython-input-26-c2569f9765f4>\", line 16, in <module>\n",
" get_ipython().run_line_magic('matplotlib', 'inline')\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2095, in run_line_magic\n",
" result = fn(*args,**kwargs)\n",
" File \"<decorator-gen-107>\", line 2, in matplotlib\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/site-packages/IPython/core/magic.py\", line 187, in <lambda>\n",
" call = lambda f, *a, **k: f(*a, **k)\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/site-packages/IPython/core/magics/pylab.py\", line 99, in matplotlib\n",
" gui, backend = self.shell.enable_matplotlib(args.gui)\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/site-packages/IPython/core/interactiveshell.py\", line 2978, in enable_matplotlib\n",
" pt.activate_matplotlib(backend)\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/site-packages/IPython/core/pylabtools.py\", line 308, in activate_matplotlib\n",
" matplotlib.pyplot.switch_backend(backend)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/matplotlib/pyplot.py\", line 229, in switch_backend\n",
" matplotlib.use(newbackend, warn=False, force=True)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/matplotlib/__init__.py\", line 1305, in use\n",
" reload(sys.modules['matplotlib.backends'])\n",
" File \"/opt/conda/envs/pytorch-py3.6/lib/python3.6/importlib/__init__.py\", line 166, in reload\n",
" _bootstrap._exec(spec, module)\n",
" File \"/home/rcosta/.local/lib/python3.6/site-packages/matplotlib/backends/__init__.py\", line 14, in <module>\n",
" line for line in traceback.format_stack()\n",
"\n",
"\n",
" \n"
]
}
], ],
"source": [ "source": [
"import matplotlib\n", "import matplotlib\n",
@ -272,14 +190,6 @@
"execution_count": 55, "execution_count": 55,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/rcosta/.local/lib/python3.6/site-packages/librosa/util/utils.py:1725: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
" if np.issubdtype(x.dtype, float) or np.issubdtype(x.dtype, complex):\n"
]
}
], ],
"source": [ "source": [
"waveform = griffin_lim(torch.autograd.Variable(spec_from_mel[:, :, :-1]), \n", "waveform = griffin_lim(torch.autograd.Variable(spec_from_mel[:, :, :-1]), \n",
Rafael Valle
6 years ago