int)ordimension <1:raiseValueError('Invalid dimension {}.'.format(dimension))if(initializerisnotNone)and(notcallable(initializer)):raiseValueError('initializer must be callable if specified.')ifinitializerisNone:
initializer=None):ifinitializerisnotNoneandnotcallable(initializer):raiseValueError("initializer must be callable if specified. ""column_name: {}".format(column_name))ifinitializerisNone: stddev =0.1# TODO(b/25671353): Better initial value?initializer = init_ops.truncated_normal_initializer( mean...
完整的错误: error: there are no arguments to ‘size’ that depend on a template parameter, so a declaration of ‘size’ must be available [-fpermissive] T pop() { return remove ( size()... 2. 机器学习基石-When can Machine Learn? - Learning to Answer Yes or No ...
at org.apache.shiro.web.servlet.AbstractShiroFilter$1.call(AbstractShiroFilter.java:365) at org.apache.shiro.subject.support.SubjectCallable.doCall(SubjectCallable.java:90) at org.apache.shiro.subject.support.SubjectCallable.call(SubjectCallable.java:83) at org.apache.shiro.subject.support.DelegatingS...
call(); ran = true; } catch (Throwable ex) { // 这里捕获了所有的异常和错误 result = null; ran = false; setException(ex); } if (ran) set(result); } } finally { // runner must be non-null until state is settled to // prevent concurrent calls to run() runner = null; // ...
Apply a linear transformation to a tensor. Parameters --- input: tf.Tensor The tensor which should be linearly transformed output_size: int The desired output size of the linear transformation weight_initializer: tf.Initializer, optional A custom initializer...
("Variable %s does not exist, disallowed."" Did you mean to set reuse=None in VarScope?"% name)ifnotshape.is_fully_defined()andnotinitializing_from_value:raiseValueError("Shape of a new variable (%s) must be fully defined, ""but instead was %s."% (name, shape))# C...