handling output_keys in partial function evaluation

theano/compile/function_module.py

@@ -764,19 +764,25 @@ class Function(object):
 
         kwargs : dict
             TODO: other kwargs?
-            Keyword argument `output_subset` is a list of indices of the
-            function's outputs that are requested to be calculated.
+            Keyword argument `output_subset` is a list of either indices of the
+            function's outputs or the keys belonging to the `output_keys` dict
+            and represent outputs that are requested to be calculated.
 
         Returns
         -------
-        List of outputs on indices `output_subset` or all of them, if
-        `outpus_subset` is not passed. If there's only one output, returns just
-        the value.
+        List of outputs on indices/keys from `output_subset` or all of them, if
+        `outputs_subset` is not passed.
         """
         profile = self.profile
         t0 = time.time()
 
         output_subset = kwargs.pop('output_subset', None)
+        if output_subset is not None and self.output_keys is not None:
+            if not all(key in self.output_keys for key in output_subset):
+                raise KeyError('Output_subset should be a list of keys '
+                               'from output_keys')
+            output_subset =\
+                [self.output_keys.index(key) for key in output_subset]
 
         # Reinitialize each container's 'provided' counter
         if self.trust_input:
@@ -879,7 +885,9 @@ class Function(object):
         # Do the actual work
         t0_fn = time.time()
         try:
-            outputs = self.fn(output_subset=output_subset)
+            outputs =\
+                self.fn() if output_subset is None else\
+                self.fn(output_subset=output_subset)
         except Exception:
             if hasattr(self.fn, 'position_of_error'):
                 # this is a new vm-provided function or c linker
@@ -963,11 +971,18 @@ class Function(object):
 
                 assert len(self.output_keys) == len(outputs)
 
+                if output_subset is None:
                     return dict(izip(self.output_keys, outputs))
+                else:
+                    return dict((self.output_keys[index], outputs[index])
+                                for index in output_subset)
 
             if output_subset is None:
                 return outputs
             else:
+                if not all(isinstance(index, int) for index in output_subset):
+                    raise TypeError('Output_subset should be '
+                                    'a list of indices of output variables')
                 return [outputs[i] for i in output_subset]
 
     value = property(

theano/gof/tests/test_vm.py

@@ -196,6 +196,7 @@ def test_speed_lazy():
 
 def test_partial_function():
     import numpy as np
+    from theano.tests import unittest_tools as utt
     x = tensor.scalar('input')
     y = x ** 2
     f = theano.function([x], [y + 7, y - 9, y / 14.], mode=Mode(
@@ -203,7 +204,16 @@ def test_partial_function():
 
     assert f(3, output_subset=[0, 1, 2]) == f(3)
     assert f(4, output_subset=[0, 2]) == [f(4)[0], f(4)[2]]
-    assert abs(max(f(5) - np.array([32., 16., 1.7857142857142858]))) < 1e-9
+    utt.assert_allclose(f(5), np.array([32., 16., 1.7857142857142858]))
+
+
+def test_partial_function_output_keys():
+    x = tensor.scalar('input')
+    y = 3 * x
+    f = theano.function([x], {'a': y * 5, 'b': y - 7}, mode=Mode(
+        optimizer=None, linker=vm.VM_Linker(allow_partial_eval=True)))
+
+    assert f(5, output_subset=['a'])['a'] == f(5)['a']
 
 
 def test_allow_gc_cvm():