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June 28, 2017 11:42
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AttributeError
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| --------------------------------------------------------------------------- | |
| AttributeError Traceback (most recent call last) | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/op.py in __call__(self, *inputs, **kwargs) | |
| 624 try: | |
| --> 625 storage_map[ins] = [self._get_test_value(ins)] | |
| 626 compute_map[ins] = [True] | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/op.py in _get_test_value(cls, v) | |
| 580 detailed_err_msg = utils.get_variable_trace_string(v) | |
| --> 581 raise AttributeError('%s has no test value %s' % (v, detailed_err_msg)) | |
| 582 | |
| AttributeError: <float32> has no test value | |
| During handling of the above exception, another exception occurred: | |
| ValueError Traceback (most recent call last) | |
| /opt/conda/lib/python3.5/site-packages/pymc3/variational/callbacks.py in record(self, approx, hist, i) | |
| 124 try: | |
| --> 125 res = fn() | |
| 126 # if `*t` argument is used | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/graph.py in eval(self, inputs_to_values) | |
| 515 if inputs not in self._fn_cache: | |
| --> 516 self._fn_cache[inputs] = theano.function(inputs, self) | |
| 517 args = [inputs_to_values[param] for param in inputs] | |
| /opt/conda/lib/python3.5/site-packages/theano/compile/function.py in function(inputs, outputs, mode, updates, givens, no_default_updates, accept_inplace, name, rebuild_strict, allow_input_downcast, profile, 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 | |
| /opt/conda/lib/python3.5/site-packages/theano/compile/pfunc.py in pfunc(params, outputs, mode, updates, givens, no_default_updates, accept_inplace, name, rebuild_strict, allow_input_downcast, profile, on_unused_input, output_keys) | |
| 485 profile=profile, on_unused_input=on_unused_input, | |
| --> 486 output_keys=output_keys) | |
| 487 | |
| /opt/conda/lib/python3.5/site-packages/theano/compile/function_module.py in orig_function(inputs, outputs, mode, accept_inplace, name, profile, on_unused_input, output_keys) | |
| 1794 output_keys=output_keys).create( | |
| -> 1795 defaults) | |
| 1796 | |
| /opt/conda/lib/python3.5/site-packages/theano/compile/function_module.py in create(self, input_storage, trustme, storage_map) | |
| 1660 _fn, _i, _o = self.linker.make_thunk( | |
| -> 1661 input_storage=input_storage_lists, storage_map=storage_map) | |
| 1662 finally: | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/link.py in make_thunk(self, input_storage, output_storage, storage_map) | |
| 698 output_storage=output_storage, | |
| --> 699 storage_map=storage_map)[:3] | |
| 700 | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/vm.py in make_all(self, profiler, input_storage, output_storage, storage_map) | |
| 1046 no_recycling, | |
| -> 1047 impl=impl)) | |
| 1048 linker_make_thunk_time[node] = time.time() - thunk_start | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/op.py in make_thunk(self, node, storage_map, compute_map, no_recycling, impl) | |
| 934 return self.make_c_thunk(node, storage_map, compute_map, | |
| --> 935 no_recycling) | |
| 936 except (NotImplementedError, utils.MethodNotDefined): | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/op.py in make_c_thunk(self, node, storage_map, compute_map, no_recycling) | |
| 838 outputs = cl.make_thunk(input_storage=node_input_storage, | |
| --> 839 output_storage=node_output_storage) | |
| 840 fill_storage, node_input_filters, node_output_filters = outputs | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/cc.py in make_thunk(self, input_storage, output_storage, storage_map, keep_lock) | |
| 1189 input_storage, output_storage, storage_map, | |
| -> 1190 keep_lock=keep_lock) | |
| 1191 | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/cc.py in __compile__(self, input_storage, output_storage, storage_map, keep_lock) | |
| 1130 storage_map, | |
| -> 1131 keep_lock=keep_lock) | |
| 1132 return (thunk, | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/cc.py in cthunk_factory(self, error_storage, in_storage, out_storage, storage_map, keep_lock) | |
| 1585 module = get_module_cache().module_from_key( | |
| -> 1586 key=key, lnk=self, keep_lock=keep_lock) | |
| 1587 | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/cmodule.py in module_from_key(self, key, lnk, keep_lock) | |
| 1121 | |
| -> 1122 src_code = lnk.get_src_code() | |
| 1123 # Is the source code already in the cache? | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/cc.py in get_src_code(self) | |
| 1461 def get_src_code(self): | |
| -> 1462 mod = self.get_dynamic_module() | |
| 1463 return mod.code() | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/cc.py in get_dynamic_module(self) | |
| 1505 if not hasattr(self, '_mod'): | |
| -> 1506 self.code_gen() | |
| 1507 | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/cc.py in code_gen(self) | |
| 800 try: | |
| --> 801 struct_init = op.c_init_code_struct(node, name, sub_struct) | |
| 802 assert isinstance(struct_init, string_types), ( | |
| /opt/conda/lib/python3.5/site-packages/theano/gpuarray/elemwise.py in c_init_code_struct(self, node, name, sub) | |
| 208 nargs = len(inps) + len(outs) - len(self.inplace_pattern) | |
| --> 209 support_code, kop = self._generate_op_string(node) | |
| 210 res = """ | |
| /opt/conda/lib/python3.5/site-packages/theano/gpuarray/elemwise.py in _generate_op_string(self, node) | |
| 162 if isinstance(scalar_op, (scalar.Cast, Composite)): | |
| --> 163 scalar_op = scalar_op.clone_float32() | |
| 164 fake_node = scalar_op.make_node(*scal_v_ins) | |
| /opt/conda/lib/python3.5/site-packages/theano/scalar/basic.py in clone_float32(self) | |
| 3892 # This will not modify the fgraph or the nodes | |
| -> 3893 new_ins, new_outs = composite_f32.apply(self.fgraph) | |
| 3894 return Composite(new_ins, new_outs) | |
| /opt/conda/lib/python3.5/site-packages/theano/scalar/basic.py in apply(self, fgraph) | |
| 4057 if type(node.op) in self.special: | |
| -> 4058 self.special[type(node.op)](node, mapping) | |
| 4059 continue | |
| /opt/conda/lib/python3.5/site-packages/theano/scalar/basic.py in handle_composite(node, mapping) | |
| 4105 new_op = node.op.clone_float32() | |
| -> 4106 new_outs = new_op(*[mapping[i] for i in node.inputs], return_list=True) | |
| 4107 assert len(new_outs) == len(node.outputs) | |
| /opt/conda/lib/python3.5/site-packages/theano/gof/op.py in __call__(self, *inputs, **kwargs) | |
| 638 'Cannot compute test value: input %i (%s) of Op %s missing default value. %s' % | |
| --> 639 (i, ins, node, detailed_err_msg)) | |
| 640 elif config.compute_test_value == 'ignore': | |
| ValueError: ('The following error happened while compiling the node', GpuElemwise{Composite{Switch(Identity((GE(i0, i1) * LE(i0, i2) * GE(i3, i4))), Switch(i5, (log(i0) + Switch(i6, i7, Switch(Identity(GE(i3, i4)), ((Switch(EQ(i3, i8), i9, (i10 * log(i3))) - i11) - i3), i12))), Switch(GT(((log(i0) - i3) - Composite{log1p((-i0))}(i0)), i13), ((log(i0) - i3) + scalar_softplus((-((log(i0) - i3) - Composite{log1p((-i0))}(i0))))), (Composite{log1p((-i0))}(i0) + scalar_softplus(((log(i0) - i3) - Composite{log1p((-i0))}(i0)))))), i14)}}[(0, 0)]<gpuarray>(InplaceGpuDimShuffle{x,0,1}.0, GpuArrayConstant{[[[0]]]}, GpuArrayConstant{[[[1]]]}, InplaceGpuDimShuffle{x,0,1}.0, GpuArrayConstant{[[[0]]]}, GpuArrayConstant{[[[ True True] | |
| [ True True]]]}, GpuArrayConstant{[[[False]]]}, GpuArrayConstant{[[[0]]]}, GpuArrayConstant{[[[0]]]}, GpuArrayConstant{[[[-inf]]]}, GpuArrayConstant{[[[ 2. 1.] | |
| [ 2. 1.]]]}, GpuArrayConstant{[[[ 0.69314718 0. ] | |
| [ 0.69314718 0. ]]]}, GpuArrayConstant{[[[-inf]]]}, GpuArrayConstant{[[[0]]]}, GpuArrayConstant{[[[-inf]]]}), '\n', 'Cannot compute test value: input 0 (<float32>) of Op Composite{log1p((-i0))}(<float32>) missing default value. ') | |
| During handling of the above exception, another exception occurred: | |
| TypeError Traceback (most recent call last) | |
| <ipython-input-6-b07e623ebee1> in <module>() | |
| 11 pm.ZeroInflatedPoisson.dist(theta=theta,psi=psi).logp(data),size=1) | |
| 12 inference.fit(n=2, | |
| ---> 13 callbacks=[pm.callbacks.Tracker(val=val.eval)]) | |
| /opt/conda/lib/python3.5/site-packages/pymc3/variational/inference.py in fit(self, n, score, callbacks, progressbar, **kwargs) | |
| 124 progress = tqdm.trange(n, disable=not progressbar) | |
| 125 if score: | |
| --> 126 self._iterate_with_loss(n, step_func, progress, callbacks) | |
| 127 else: | |
| 128 self._iterate_without_loss(n, step_func, progress, callbacks) | |
| /opt/conda/lib/python3.5/site-packages/pymc3/variational/inference.py in _iterate_with_loss(self, n, step_func, progress, callbacks) | |
| 174 'Average Loss = {:,.5g}'.format(avg_loss)) | |
| 175 for callback in callbacks: | |
| --> 176 callback(self.approx, scores[:i + 1], i) | |
| 177 except (KeyboardInterrupt, StopIteration) as e: | |
| 178 # do not print log on the same line | |
| /opt/conda/lib/python3.5/site-packages/pymc3/variational/callbacks.py in record(self, approx, hist, i) | |
| 132 # to try fn(approx, hist, i) first | |
| 133 except Exception: | |
| --> 134 res = fn(approx, hist, i) | |
| 135 self.hist[key].append(res) | |
| 136 | |
| TypeError: eval() takes from 1 to 2 positional arguments but 4 were given |
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