leezu edited a comment on issue #19915: URL: https://github.com/apache/incubator-mxnet/issues/19915#issuecomment-781353480
The first time I see a related error on master branch windows-cpu is https://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fwindows-cpu/detail/master/2455/pipeline of https://github.com/apache/incubator-mxnet/commit/e164ceeb2c4b5fb8cacdac1f0cced683a80b70b0 ``` [2021-02-16T21:06:05.273Z] _______________ test_subgraph_exe4[sym14-op_names14-default_v2] _______________ [2021-02-16T21:06:05.273Z] [gw0] win32 -- Python 3.7.0 C:\Python37\python.exe [2021-02-16T21:06:05.273Z] [2021-02-16T21:06:05.273Z] sym = <Symbol convolution38>, subgraph_backend = 'default_v2' [2021-02-16T21:06:05.273Z] op_names = ['sin', 'Convolution'] [2021-02-16T21:06:05.273Z] [2021-02-16T21:06:05.273Z] @pytest.mark.parametrize('subgraph_backend', ['default', 'default_v2']) [2021-02-16T21:06:05.273Z] @pytest.mark.parametrize('sym,op_names', get_graphs()) [2021-02-16T21:06:05.273Z] def test_subgraph_exe4(sym, subgraph_backend, op_names): [2021-02-16T21:06:05.273Z] """Use env var MXNET_SUBGRAPH_BACKEND=default to trigger graph partitioning in bind [2021-02-16T21:06:05.273Z] and compare results of the partitioned sym and the original sym.""" [2021-02-16T21:06:05.273Z] def get_executor(sym, subgraph_backend=None, op_names=None, original_exec=None): [2021-02-16T21:06:05.273Z] arg_shapes, _, aux_shapes = sym.infer_shape() [2021-02-16T21:06:05.273Z] if subgraph_backend is None: [2021-02-16T21:06:05.273Z] arg_array = [mx.nd.random.uniform(shape=shape) for shape in arg_shapes] [2021-02-16T21:06:05.273Z] aux_array = [mx.nd.random.uniform(shape=shape) for shape in aux_shapes] [2021-02-16T21:06:05.273Z] else: [2021-02-16T21:06:05.273Z] arg_array = None [2021-02-16T21:06:05.273Z] aux_array = None [2021-02-16T21:06:05.273Z] exe = sym._bind(ctx=mx.current_context(), [2021-02-16T21:06:05.273Z] args=arg_array if subgraph_backend is None else original_exec.arg_arrays, [2021-02-16T21:06:05.273Z] aux_states=aux_array if subgraph_backend is None else original_exec.aux_arrays, [2021-02-16T21:06:05.273Z] grad_req='null') [2021-02-16T21:06:05.273Z] exe.forward() [2021-02-16T21:06:05.273Z] return exe [2021-02-16T21:06:05.273Z] [2021-02-16T21:06:05.273Z] sym, _, _ = sym [2021-02-16T21:06:05.273Z] > original_exec = get_executor(sym) [2021-02-16T21:06:05.273Z] [2021-02-16T21:06:05.273Z] tests\python\unittest\test_subgraph_op.py:237: [2021-02-16T21:06:05.273Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [2021-02-16T21:06:05.273Z] tests\python\unittest\test_subgraph_op.py:222: in get_executor [2021-02-16T21:06:05.273Z] arg_shapes, _, aux_shapes = sym.infer_shape() [2021-02-16T21:06:05.273Z] windows_package\python\mxnet\symbol\symbol.py:1132: in infer_shape [2021-02-16T21:06:05.273Z] res = self._infer_shape_impl(False, *args, **kwargs) [2021-02-16T21:06:05.273Z] windows_package\python\mxnet\symbol\symbol.py:1267: in _infer_shape_impl [2021-02-16T21:06:05.273Z] ctypes.byref(complete))) [2021-02-16T21:06:05.273Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [2021-02-16T21:06:05.273Z] [2021-02-16T21:06:05.273Z] ret = -1 [2021-02-16T21:06:05.273Z] [2021-02-16T21:06:05.273Z] def check_call(ret): [2021-02-16T21:06:05.273Z] """Check the return value of C API call. [2021-02-16T21:06:05.273Z] [2021-02-16T21:06:05.273Z] This function will raise an exception when an error occurs. [2021-02-16T21:06:05.273Z] Wrap every API call with this function. [2021-02-16T21:06:05.273Z] [2021-02-16T21:06:05.273Z] Parameters [2021-02-16T21:06:05.273Z] ---------- [2021-02-16T21:06:05.273Z] ret : int [2021-02-16T21:06:05.273Z] return value from API calls. [2021-02-16T21:06:05.273Z] """ [2021-02-16T21:06:05.273Z] if ret != 0: [2021-02-16T21:06:05.273Z] > raise get_last_ffi_error() [2021-02-16T21:06:05.273Z] E mxnet.base.MXNetError: MXNetError: Error in operator convolution38: Shape inconsistent, Provided = [1,0,2,2], inferred shape=(1,3,2,2) ``` ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
