TypeError: ('An update must have the same type as the original shared variable #1
Comments
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读者你好，请问这段代码是在哪一个代码文件里呢？这个应该是b的定义问题，b的定义是int64，但updates的时候b - 0.1 *
gb是float，所以类型不匹配
不过我检查了我的代码，没有发现这样的写法呢，所以麻烦告诉我一下是哪一个项目文件哈
谢谢
2017-07-01 18:44 GMT+08:00 Eric <notifications@github.com>:
… train = theano.function( inputs = [index], outputs = cost, updates=[(w, w
- 0.1 * gw), (b, b - 0.1 * gb)], givens = {x : train_X[index * batch_size :
(index + 1) * batch_size], y : train_Y[index * batch_size : (index + 1) *
batch_size]})
------------------------------
TypeError Traceback (most recent call last)
in ()
4 updates=[(w, w - 0.1 * gw), (b, b - 0.1 * gb)],
5 givens = {x : train_X[index * batch_size : (index + 1) * batch_size],
----> 6 y : train_Y[index * batch_size : (index + 1) * batch_size]})
/usr/local/lib/python2.7/dist-packages/Theano-0.10.0.dev1-
py2.7.egg/theano/compile/function.pyc in function(inputs, outputs, mode,
updates, givens, no_default_updates, accept_inplace, name, rebuild_strict,
allow_input_downcast, profile, on_unused_input)
324 on_unused_input=on_unused_input,
325 profile=profile,
--> 326 output_keys=output_keys)
327 # We need to add the flag check_aliased inputs if we have any mutable
or
328 # borrowed used defined inputs
/usr/local/lib/python2.7/dist-packages/Theano-0.10.0.dev1-
py2.7.egg/theano/compile/pfunc.pyc in pfunc(params, outputs, mode,
updates, givens, no_default_updates, accept_inplace, name, rebuild_strict,
allow_input_downcast, profile, on_unused_input, output_keys)
447 rebuild_strict=rebuild_strict,
448 copy_inputs_over=True,
--> 449 no_default_updates=no_default_updates)
450 # extracting the arguments
451 input_variables, cloned_extended_outputs, other_stuff = output_vars
/usr/local/lib/python2.7/dist-packages/Theano-0.10.0.dev1-
py2.7.egg/theano/compile/pfunc.pyc in rebuild_collect_shared(outputs,
inputs, replace, updates, rebuild_strict, copy_inputs_over,
no_default_updates)
206 ' function to remove broadcastable dimensions.')
207
--> 208 raise TypeError(err_msg, err_sug)
209 assert update_val.type == store_into.type
210
TypeError: ('An update must have the same type as the original shared
variable (shared_var=b, shared_var.type=TensorType(int64, scalar),
update_val=Elemwise{sub,no_inplace}.0, update_val.type=TensorType(float64,
scalar)).', 'If the difference is related to the broadcast pattern, you can
call the tensor.unbroadcast(var, axis_to_unbroadcast[, ...]) function to
remove broadcastable dimensions.')
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@innovation-cat 您好！这段代码来自您那本书的第29页2.3.2节Logistic回归。请问该如何修正这个错误呢？ |
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哦，这段代码我没放在github上，你能把您的代码发给我一下吗？或者你看看b的定义，你是不是写成：b = theano.shared(value=0,
name='b') ？
2017-08-04 8:42 GMT+08:00 Eric <notifications@github.com>:
… @innovation-cat <https://github.com/innovation-cat> 您好！这段代码来自您那本书的第29页。
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@innovation-cat 您好！第29页的完整代码如下
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这个运行后并没有报错误 |
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Hi @innovation-cat 我刚又用Python3.5运行了一遍，依然有错误提示。 /usr/bin/python3.5 demo_01.py Process finished with exit code 1 |
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我分别在python2.7+theano0.8和python3.6+theano0.9两个环境运行过，代码并没有报错，我看了你用的是theano0.10dev，这个版本还是一个测试版本，估计起码明年才正式发布，试试安装0.8或者0.9，不要用0.10，这个版本可能还不稳定 |
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Hi @innovation-cat 谢谢！我看到最后一句提示说TypeError: Cannot convert Type TensorType(int64, vector) (of Variable Subtensor{int32:int32:}.0) into Type TensorType(int32, vector). You can try to manually convert Subtensor{int32:int32:}.0 into a TensorType(int32, vector). 请问下这个提示是针对哪条语句的？为什么会有这样的提示？我Theano不太熟，请问这个类型转换应怎么写？ |
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转换一般用cast，不过这里也可以在function试试添加一行allow_input_downcast=True
改为这样试试看？
train = theano.function(
inputs = [index],
outputs = cost,
updates = [(w, w-0.1*gw), (b, b-0.1*gb)],
givens = {x : train_X[index * batch_size : (index + 1)*batch_size],
y : train_Y[index * batch_size : (index + 1) * batch_size]},
allow_input_downcast=True
)`
2017-08-07 15:25 GMT+08:00 Eric <notifications@github.com>:
… Hi @innovation-cat <https://github.com/innovation-cat>
谢谢！我看到最后一句提示说TypeError: Cannot convert Type TensorType(int64, vector) (of
Variable Subtensor{int32:int32:}.0) into Type TensorType(int32, vector).
You can try to manually convert Subtensor{int32:int32:}.0 into a
TensorType(int32, vector). 我Theano不太熟，请问这个类型转换应怎么写？
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Hi @innovation-cat 加上
这句是由哪个参数引起的？ |
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换成安装0.9试试，上面你发的代码里面我在0.9和0.8都没有错误，这个错误看来是y : train_Y[index * batch_size :
(index + 1) * batch_size]}这一句引起的
2017-08-07 16:58 GMT+08:00 Eric <notifications@github.com>:
… Hi @innovation-cat <https://github.com/innovation-cat>
加上allow_input_downcast=True后，仍有错误提示，而且提示内容没有变化。请问下
Type TensorType(int64, vector) (of Variable Subtensor{int32:int32:}.0)
into Type TensorType(int32, vector)
这句是由哪个参数引起的？TensorType(int64, vector) (of Variable
Subtensor{int32:int32:}.0)具体是指哪个变量？另外为什么会需要转换成TensorType(int32, vector)
？怎么用cast实现这个转换？谢谢！
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Hi @innovation-cat 谢谢您的回复。请问下 |
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不是说y，而是说train_Y[index * batch_size : (index + 1) * batch_size]的结果是TensorType(int64, vector)，但y的定义是TensorType(int32, vector)，所以报了这个类型错误，不过这里面 train_Y[index * batch_size : (index + 1) * batch_size]的结果应该也是TensorType(int32, vector)，所以应该是版本的bug，不是你的代码有bug |
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@innovation-cat 是版本bug的说法有道理，我之前把 |
TypeError Traceback (most recent call last)
in ()
4 updates=[(w, w - 0.1 * gw), (b, b - 0.1 * gb)],
5 givens = {x : train_X[index * batch_size : (index + 1) * batch_size],
----> 6 y : train_Y[index * batch_size : (index + 1) * batch_size]})
/usr/local/lib/python2.7/dist-packages/Theano-0.10.0.dev1-py2.7.egg/theano/compile/function.pyc in function(inputs, outputs, mode, updates, givens, no_default_updates, accept_inplace, name, rebuild_strict, allow_input_downcast, profile, on_unused_input)
324 on_unused_input=on_unused_input,
325 profile=profile,
--> 326 output_keys=output_keys)
327 # We need to add the flag check_aliased inputs if we have any mutable or
328 # borrowed used defined inputs
/usr/local/lib/python2.7/dist-packages/Theano-0.10.0.dev1-py2.7.egg/theano/compile/pfunc.pyc in pfunc(params, outputs, mode, updates, givens, no_default_updates, accept_inplace, name, rebuild_strict, allow_input_downcast, profile, on_unused_input, output_keys)
447 rebuild_strict=rebuild_strict,
448 copy_inputs_over=True,
--> 449 no_default_updates=no_default_updates)
450 # extracting the arguments
451 input_variables, cloned_extended_outputs, other_stuff = output_vars
/usr/local/lib/python2.7/dist-packages/Theano-0.10.0.dev1-py2.7.egg/theano/compile/pfunc.pyc in rebuild_collect_shared(outputs, inputs, replace, updates, rebuild_strict, copy_inputs_over, no_default_updates)
206 ' function to remove broadcastable dimensions.')
207
--> 208 raise TypeError(err_msg, err_sug)
209 assert update_val.type == store_into.type
210
TypeError: ('An update must have the same type as the original shared variable (shared_var=b, shared_var.type=TensorType(int64, scalar), update_val=Elemwise{sub,no_inplace}.0, update_val.type=TensorType(float64, scalar)).', 'If the difference is related to the broadcast pattern, you can call the tensor.unbroadcast(var, axis_to_unbroadcast[, ...]) function to remove broadcastable dimensions.')
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