提交 8f856565 authored 作者: Razvan Pascanu's avatar Razvan Pascanu

merge

......@@ -300,18 +300,23 @@ import theano and print the config variable, as in:
This means files whose compilation failed are deleted.
Set to True to keep those files in order to debug compilation errors.
.. attribute:: numpy.seterr_all
.. attribute:: config.DebugMode
String Value: `'ignore'`, `'warn'`, `'raise'`, `'call'`, `'print'`,
`'log'`, `'None'`
This section contains various attributes configuring the behaviour
of mode :class:`~debugmode.DebugMode`.
Default: `'ignore'`
.. attribute:: config.numpy.seterr_all
String Value: ``'ignore'``, ``'warn'``, ``'raise'``, ``'call'``,
``'print'``, ``'log'``, ``'None'``
Default: ``'ignore'``
Set the default behaviour described by `numpy.seterr
<http://docs.scipy.org/doc/numpy/reference/generated/numpy.seterr.html>`__.
`'None'` means that numpy's default behaviour will not be changed (unless
one of the other `numpy.seterr_*` overrides it), but this behaviour
``'None'`` means that numpy's default behaviour will not be changed (unless
one of the other `config.numpy.seterr_*` overrides it), but this behaviour
can change between numpy releases.
This flag sets the default behaviour for all kinds of floating-pont
......@@ -320,50 +325,50 @@ import theano and print the config variable, as in:
This flag's value cannot be modified during the program execution.
.. attribute:: numpy.seterr_divide
.. attribute:: config.numpy.seterr_divide
String Value: `'None'`, `'ignore'`, `'warn'`, `'raise'`, `'call'`,
`'print'`, `'log'`
String Value: ``'None'``, ``'ignore'``, ``'warn'``, ``'raise'``,
``'call'``, ``'print'``, ``'log'``
Default: `'None'`
Default: ``'None'``
Sets numpy's behavior for division by zero. 'None' means using the
default, defined by numpy.seterr_all.
Sets numpy's behavior for division by zero. ``'None'`` means using the
default, defined by config.numpy.seterr_all.
This flag's value cannot be modified during the program execution.
.. attribute:: numpy.seterr_over
.. attribute:: config.numpy.seterr_over
String Value: `'None'`, `'ignore'`, `'warn'`, `'raise'`, `'call'`,
`'print'`, `'log'`
String Value: ``'None'``, ``'ignore'``, ``'warn'``, ``'raise'``,
``'call'``, ``'print'``, ``'log'``
Default: `'None'`
Default: ``'None'``
Sets numpy's behavior for floating-point overflow. 'None' means
using the default, defined by numpy.seterr_all.
Sets numpy's behavior for floating-point overflow. ``'None'`` means
using the default, defined by config.numpy.seterr_all.
This flag's value cannot be modified during the program execution.
.. attribute:: numpy.seterr_under
.. attribute:: config.numpy.seterr_under
String Value: `'None'`, `'ignore'`, `'warn'`, `'raise'`, `'call'`,
`'print'`, `'log'`
String Value: ``'None'``, ``'ignore'``, ``'warn'``, ``'raise'``,
``'call'``, ``'print'``, ``'log'``
Default: `'None'`
Default: ``'None'``
Sets numpy's behavior for floating-point underflow. 'None' means
using the default, defined by numpy.seterr_all.
Sets numpy's behavior for floating-point underflow. ``'None'`` means
using the default, defined by config.numpy.seterr_all.
This flag's value cannot be modified during the program execution.
.. attribute:: numpy.seterr_invalid
String Value: `'None'`, `'ignore'`, `'warn'`, `'raise'`, `'call'`,
`'print'`, `'log'`
String Value: ``'None'``, ``'ignore'``, ``'warn'``, ``'raise'``,
``'call'``, ``'print'``, ``'log'``
Default: `'None'`
Default: ``'None'``
Sets numpy's behavior for invalid floating-point operation. 'None'
means using the default, defined by numpy.seterr_all.
Sets numpy's behavior for invalid floating-point operation. ``'None'``
means using the default, defined by :attr:`config.numpy.seterr_all`.
This flag's value cannot be modified during the program execution.
......@@ -535,7 +535,13 @@ def _check_inputs(node, storage_map, r_vals, dr_vals, active_nodes, clobber_dr_v
if warn_input_not_reused and destroyed_res_list:
dmap=getattr(node.op,'destroy_map',{})
for oo,ii in dmap.iteritems():
if storage_map[node.outputs[oo]][0] is not storage_map[node.inputs[ii[0]]][0]:
out_var = storage_map[node.outputs[oo]][0]
in_var = storage_map[node.inputs[ii[0]]][0]
if isinstance (node.op, theano.compile.mode.OutputGuard):
# The point of OutputGuard is to be declared as destructive
# while not destroying anything
continue
if out_var is not in_var:
opt_warning("input idx %d marked as destroyed was not changed for node '%s'"%(ii[0],str(node)))
if warn_input_not_reused:
......
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