sxjscience commented on a change in pull request #10000: [MXNET-80] Fix average pooling kernel size assignment error URL: https://github.com/apache/incubator-mxnet/pull/10000#discussion_r173895781
########## File path: tests/python/gpu/test_operator_gpu.py ########## @@ -904,86 +904,87 @@ def test_1d_pooling(pool_type): kernel = (4,) pad = (2,) stride = (2,) - + ctx_list = [] sym_list = [] - + pooling_convention = 'valid' - + ctx_list.append({'ctx': mx.cpu(0), 'pool_data': data, 'type_dict': {'pool_data': np.float32}}) - sym_list.append(mx.sym.Pooling(kernel=kernel, pad=pad, stride=stride, pool_type=pool_type, + sym_list.append(mx.sym.Pooling(pad=pad, stride=stride, pool_type=pool_type, pooling_convention=pooling_convention, global_pool=True, name='pool')) - + ctx_list.append({'ctx': mx.cpu(0), 'pool_data': data, 'type_dict': {'pool_data': np.float32}}) - sym_list.append(mx.sym.Pooling(kernel=kernel, pool_type=pool_type, + sym_list.append(mx.sym.Pooling(pool_type=pool_type, pooling_convention=pooling_convention, global_pool=True, name='pool')) - + ctx_list.append({'ctx': mx.gpu(0), 'pool_data': data, 'type_dict': {'pool_data': np.float32}}) - sym_list.append(mx.sym.Pooling(kernel=kernel, pad=pad, stride=stride, pool_type=pool_type, + sym_list.append(mx.sym.Pooling(pad=pad, stride=stride, pool_type=pool_type, pooling_convention=pooling_convention, global_pool=True, cudnn_off=False, name='pool')) - + ctx_list.append({'ctx': mx.gpu(0), 'pool_data': data, 'type_dict': {'pool_data': np.float32}}) - sym_list.append(mx.sym.Pooling(kernel=kernel, pool_type=pool_type, + sym_list.append(mx.sym.Pooling(pool_type=pool_type, pooling_convention=pooling_convention, global_pool=True, cudnn_off=False, name='pool')) - + ctx_list.append({'ctx': mx.gpu(0), 'pool_data': data, 'type_dict': {'pool_data': np.float32}}) - sym_list.append(mx.sym.Pooling(kernel=kernel, pad=pad, stride=stride, pool_type=pool_type, + sym_list.append(mx.sym.Pooling(pad=pad, stride=stride, pool_type=pool_type, pooling_convention=pooling_convention, global_pool=True, cudnn_off=True, name='pool')) - + ctx_list.append({'ctx': mx.gpu(0), 'pool_data': data, 'type_dict': {'pool_data': np.float32}}) - sym_list.append(mx.sym.Pooling(kernel=kernel, pool_type=pool_type, + sym_list.append(mx.sym.Pooling(pool_type=pool_type, pooling_convention=pooling_convention, global_pool=True, cudnn_off=True, name='pool')) - + check_consistency(sym_list, ctx_list) - + def test_2d_pooling(pool_type): data = (2, 3, 20, 20) kernel = (4, 4) pad = (2, 2) stride = (2, 2) - + ctx_list = [] sym_list = [] - + pooling_convention = 'valid' - + ctx_list.append({'ctx': mx.cpu(0), 'pool_data': data, 'type_dict': {'pool_data': np.float32}}) sym_list.append(mx.sym.Pooling_v1(kernel=kernel, pad=pad, stride=stride, pool_type=pool_type, Review comment: @CoinCheung, we can then change to append new tests in the list instead of replacing the current tests. We could change the code following the comment by @TaoLv ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on 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 With regards, Apache Git Services