Created by: iclementine

System information -PaddlePaddle version: 1.6.2 -GPU: cuda 10.1 / cudnn 7.5 -OS Platform and Distribution: ubuntu 16.04 LTS -Python version: 3.7.4 To Reproduce

I adapted the example code in layers.slice

import paddle.fluid as fluid
import paddle.fluid.dygraph as dg
import numpy as np

input = np.random.randn(3,4,5,6).astype(np.float32)

place = fluid.CPUPlace()
with dg.guard(place):
    input = dg.to_variable(input)
    minus_3 = fluid.layers.fill_constant([1], "int32", -3)
    three = fluid.layers.fill_constant([1], "int32", 3)
    
    # case 0
    sliced = fluid.layers.slice(input, axes=[0, 1, 2], starts=[-3, 0, 2], ends=[3, 2, 4])
    print(sliced.numpy().shape)
    
    # case 1
    sliced = fluid.layers.slice(input, axes=[0, 1, 2], starts=[minus_3, 0, 2], ends=[three, 2, 4])
    print(sliced.numpy().shape)
    
    # case 2
    sliced = fluid.layers.slice(input, axes=[0, 1, 2], 
                                starts=dg.to_variable(np.array([-3, 0, 2]).astype(np.int32)), 
                                ends=dg.to_variable(np.array([3, 2, 4]).astype(np.int32)))  
    print(sliced.numpy().shape)

case 0 is okay, case 1 and case 2 raise bugs.

case 1 got errors here

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-13-6f278d68461f> in <module>
     17 
     18     #case 1
---> 19     sliced = fluid.layers.slice(input, axes=[0, 1, 2], starts=[minus_3, 0, 2], ends=[three, 2, 4])
     20     print(sliced.numpy().shape)
     21 

/workspace/.pyenv/versions/3.7.4/envs/paddle_dev/lib/python3.7/site-packages/paddle/fluid/layers/nn.py in slice(input, axes, starts, ends)
   9818         dtype=helper.input_dtype('input'))
   9819     helper.append_op(
-> 9820         type='slice', inputs=inputs, attrs=attrs, outputs={'Out': out})
   9821 
   9822     return out

/workspace/.pyenv/versions/3.7.4/envs/paddle_dev/lib/python3.7/site-packages/paddle/fluid/layer_helper.py in append_op(self, *args, **kwargs)
     41 
     42     def append_op(self, *args, **kwargs):
---> 43         return self.main_program.current_block().append_op(*args, **kwargs)
     44 
     45     def multiple_input(self, input_param_name='input'):

/workspace/.pyenv/versions/3.7.4/envs/paddle_dev/lib/python3.7/site-packages/paddle/fluid/framework.py in append_op(self, *args, **kwargs)
   2489                                        kwargs.get("outputs", {}), attrs
   2490                                        if attrs else {},
-> 2491                                        kwargs.get("stop_gradient", False))
   2492         else:
   2493             op_desc = self.desc.append_op()

/workspace/.pyenv/versions/3.7.4/envs/paddle_dev/lib/python3.7/site-packages/paddle/fluid/dygraph/tracer.py in trace_op(self, type, inputs, outputs, attrs, stop_gradient)
     45         self.trace(type, inputs, outputs, attrs,
     46                    framework._current_expected_place(), self._train_mode and
---> 47                    not stop_gradient)
     48 
     49     def train_mode(self):

TypeError: trace(): incompatible function arguments. The following argument types are supported:
    1. (self: paddle.fluid.core_avx.Tracer, arg0: str, arg1: Dict[str, handle], arg2: Dict[str, handle], arg3: Dict[str, Variant], arg4: paddle::platform::CUDAPlace, arg5: bool) -> None
    2. (self: paddle.fluid.core_avx.Tracer, arg0: str, arg1: Dict[str, handle], arg2: Dict[str, handle], arg3: Dict[str, Variant], arg4: paddle::platform::CPUPlace, arg5: bool) -> None

Invoked with: <paddle.fluid.dygraph.tracer.Tracer object at 0x7f7d98554b90>, 'slice', {'Input': <paddle.fluid.core_avx.VarBase object at 0x7f7d985640f0>}, {'Out': <paddle.fluid.core_avx.VarBase object at 0x7f7d98564130>}, {'axes': [0, 1, 2], 'starts': [<paddle.fluid.core_avx.VarBase object at 0x7f7d985641f0>, 0, 2], 'ends': [<paddle.fluid.core_avx.VarBase object at 0x7f7d98564230>, 2, 4], 'infer_flags': [1, 1, 1]}, <paddle.fluid.core_avx.CPUPlace object at 0x7f7d98560970>, True

case 2 gets errors here

---------------------------------------------------------------------------
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-14-d61469efa372> in <module>
     23     sliced = fluid.layers.slice(input, axes=[0, 1, 2], 
     24                                 starts=dg.to_variable(np.array([-3, 0, 2]).astype(np.int32)),
---> 25                                 ends=dg.to_variable(np.array([3, 2, 4]).astype(np.int32)))  
     26     print(sliced.numpy().shape)

/workspace/.pyenv/versions/3.7.4/envs/paddle_dev/lib/python3.7/site-packages/paddle/fluid/layers/nn.py in slice(input, axes, starts, ends)
   9818         dtype=helper.input_dtype('input'))
   9819     helper.append_op(
-> 9820         type='slice', inputs=inputs, attrs=attrs, outputs={'Out': out})
   9821 
   9822     return out

/workspace/.pyenv/versions/3.7.4/envs/paddle_dev/lib/python3.7/site-packages/paddle/fluid/layer_helper.py in append_op(self, *args, **kwargs)
     41 
     42     def append_op(self, *args, **kwargs):
---> 43         return self.main_program.current_block().append_op(*args, **kwargs)
     44 
     45     def multiple_input(self, input_param_name='input'):

/workspace/.pyenv/versions/3.7.4/envs/paddle_dev/lib/python3.7/site-packages/paddle/fluid/framework.py in append_op(self, *args, **kwargs)
   2489                                        kwargs.get("outputs", {}), attrs
   2490                                        if attrs else {},
-> 2491                                        kwargs.get("stop_gradient", False))
   2492         else:
   2493             op_desc = self.desc.append_op()

/workspace/.pyenv/versions/3.7.4/envs/paddle_dev/lib/python3.7/site-packages/paddle/fluid/dygraph/tracer.py in trace_op(self, type, inputs, outputs, attrs, stop_gradient)
     45         self.trace(type, inputs, outputs, attrs,
     46                    framework._current_expected_place(), self._train_mode and
---> 47                    not stop_gradient)
     48 
     49     def train_mode(self):

ValueError: vector::reserve