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提交 63c5deff authored 作者: sebastien-j's avatar sebastien-j
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Use python instead of ipython

上级 aad941fc
隐藏空白字符变更
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正在显示 包含 27 行增加 和 85 行删除
doc/tutorial/debug_faq.txt
浏览文件 @ 63c5deff
......@@ -40,28 +40,13 @@ Running the code above we see:
.. code-block:: bash
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-1-902f5bb7425a> in <module>()
8 z = z + y
9 f = theano.function([x, y], z)
---> 10 f(np.ones((2,)), np.ones((3,)))
/data/lisa/exp/jeasebas/Theano/theano/compile/function_module.pyc in __call__(se
lf, *args, **kwargs)
603 gof.link.raise_with_op(
604 self.fn.nodes[self.fn.position_of_error],
--> 605 self.fn.thunks[self.fn.position_of_error])
606 else:
607 # For the c linker We don't have access from
/data/lisa/exp/jeasebas/Theano/theano/compile/function_module.pyc in __call__(self, *args, **kwargs)
593 t0_fn = time.time()
594 try:
--> 595 outputs = self.fn()
596 except Exception:
597 if hasattr(self.fn, 'position_of_error'):
Traceback (most recent call last):
File "test0.py", line 10, in <module>
f(np.ones((2,)), np.ones((3,)))
File "/data/lisa/exp/jeasebas/Theano/theano/compile/function_module.py", line 605, in __call__
self.fn.thunks[self.fn.position_of_error])
File "/data/lisa/exp/jeasebas/Theano/theano/compile/function_module.py", line 595, in __call__
outputs = self.fn()
ValueError: Input dimension mis-match. (input[0].shape[0] = 3, input[1].shape[0] = 2)
Apply node that caused the error: Elemwise{add,no_inplace}(<TensorType(float64, vector)>, <TensorType(float64, vector)>, <TensorType(float64, vector)>)
Inputs types: [TensorType(float64, vector), TensorType(float64, vector), TensorType(float64, vector)]
......@@ -88,11 +73,7 @@ apply node. Using these hints, the end of the error message becomes :
.. code-block:: bash
Backtrace when the node is created:
File "/opt/lisa/os/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2690, in run_ast_nodes
if self.run_code(code):
File "/opt/lisa/os/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2746, in run_code
exec code_obj in self.user_global_ns, self.user_ns
File "<ipython-input-1-902f5bb7425a>", line 8, in <module>
File "test0.py", line 8, in <module>
z = z + y
Debugprint of the apply node:
......@@ -150,27 +131,13 @@ Running the above code generates the following error message:
.. code-block:: bash
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-1-f144ea5aa857> in <module>()
27 # compile and call the actual function
28 f = theano.function([x], h2)
---> 29 f(numpy.random.rand(5, 10))
/data/lisa/exp/jeasebas/Theano/theano/compile/function_module.pyc in __call__(self, *args, **kwargs)
603 gof.link.raise_with_op(
604 self.fn.nodes[self.fn.position_of_error],
--> 605 self.fn.thunks[self.fn.position_of_error])
606 else:
607 # For the c linker We don't have access from
/data/lisa/exp/jeasebas/Theano/theano/compile/function_module.pyc in __call__(self, *args, **kwargs)
593 t0_fn = time.time()
594 try:
--> 595 outputs = self.fn()
596 except Exception:
597 if hasattr(self.fn, 'position_of_error'):
Traceback (most recent call last):
File "test1.py", line 29, in <module>
f(numpy.random.rand(5, 10))
File "/data/lisa/exp/jeasebas/Theano/theano/compile/function_module.py", line 605, in __call__
self.fn.thunks[self.fn.position_of_error])
File "/data/lisa/exp/jeasebas/Theano/theano/compile/function_module.py", line 595, in __call__
outputs = self.fn()
ValueError: Shape mismatch: x has 10 cols (and 5 rows) but y has 20 rows (and 10 cols)
Apply node that caused the error: Dot22(x, DimShuffle{1,0}.0)
Inputs types: [TensorType(float64, matrix), TensorType(float64, matrix)]
......@@ -188,7 +155,6 @@ Running the above code generates the following error message:
HINT: Re-running with most Theano optimization disabled could give you a back-traces when this node was created. This can be done with by setting the Theano flags optimizer=fast_compile
If the above is not informative enough, by instrumenting the code ever
so slightly, we can get Theano to reveal the exact source of the error.
......@@ -213,42 +179,18 @@ following error message, which properly identifies *line 24* as the culprit.
.. code-block:: bash
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-1-320832559ee8> in <module>()
22
23 # source of error: dot product of 5x10 with 20x10
---> 24 h1 = T.dot(x, func_of_W1)
25
26 # do more stuff
/data/lisa/exp/jeasebas/Theano/theano/tensor/basic.pyc in dot(a, b)
4732 return tensordot(a, b, [[a.ndim - 1], [numpy.maximum(0, b.ndim - 2)]])
4733 else:
-> 4734 return _dot(a, b)
4735
4736
/data/lisa/exp/jeasebas/Theano/theano/gof/op.pyc in __call__(self, *inputs, **kwargs)
543 thunk.outputs = [storage_map[v] for v in node.outputs]
544
--> 545 required = thunk()
546 assert not required # We provided all inputs
547
/data/lisa/exp/jeasebas/Theano/theano/gof/op.pyc in rval(p, i, o, n)
750
751 def rval(p=p, i=node_input_storage, o=node_output_storage, n=node):
--> 752 r = p(n, [x[0] for x in i], o)
753 for o in node.outputs:
754 compute_map[o][0] = True
/data/lisa/exp/jeasebas/Theano/theano/tensor/basic.pyc in perform(self, node, inp, out)
4552 # gives a numpy float object but we need to return a 0d
4553 # ndarray
-> 4554 z[0] = numpy.asarray(numpy.dot(x, y))
4555
4556 def grad(self, inp, grads):
Traceback (most recent call last):
File "test2.py", line 24, in <module>
h1 = T.dot(x, func_of_W1)
File "/data/lisa/exp/jeasebas/Theano/theano/tensor/basic.py", line 4734, in dot
return _dot(a, b)
File "/data/lisa/exp/jeasebas/Theano/theano/gof/op.py", line 545, in __call__
required = thunk()
File "/data/lisa/exp/jeasebas/Theano/theano/gof/op.py", line 752, in rval
r = p(n, [x[0] for x in i], o)
File "/data/lisa/exp/jeasebas/Theano/theano/tensor/basic.py", line 4554, in perform
z[0] = numpy.asarray(numpy.dot(x, y))
ValueError: matrices are not aligned
The ``compute_test_value`` mechanism works as follows:
......
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