# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # For op in NO_FP64_CHECK_GRAD_OP_LIST, the op test requires check_grad with fp64 precision NO_FP64_CHECK_GRAD_OP_LIST = [ 'affine_grid', 'clip', 'conv2d', 'conv2d_transpose', 'conv3d', 'conv3d_transpose', 'conv_shift', 'cos_sim', 'cudnn_lstm', 'cvm', 'data_norm', 'deformable_conv', 'deformable_conv_v1', 'deformable_psroi_pooling', 'depthwise_conv2d', 'depthwise_conv2d_transpose', 'dropout', 'elementwise_max', 'fused_elemwise_activation', 'hierarchical_sigmoid', 'hinge_loss', 'huber_loss', 'im2sequence', 'increment', 'l1_norm', 'log_loss', 'lrn', 'margin_rank_loss', 'match_matrix_tensor', 'matmul', 'max_pool2d_with_index', 'max_pool3d_with_index', 'maxout', 'minus', 'modified_huber_loss', 'mul', 'nce', 'pad', 'pad2d', 'pad_constant_like', 'pool2d', 'pool3d', 'prelu', 'prroi_pool', 'rank_loss', 'reduce_max', 'reduce_min', 'relu', 'reshape2', 'roi_perspective_transform', 'row_conv', 'scale', 'scatter', 'sequence_conv', 'sequence_pool', 'sequence_reverse', 'sequence_slice', 'sequence_topk_avg_pooling', 'shuffle_channel', 'sigmoid', 'smooth_l1_loss', 'softmax', 'spectral_norm', 'spp', 'sqrt', 'squared_l2_distance', 'squared_l2_norm', 'tanh', 'transpose2', 'trilinear_interp', 'var_conv_2d', 'warpctc' ] NO_FP16_CHECK_GRAD_OP_LIST = [ 'fused_elemwise_activation', 'pool2d', 'pool3d', 'softmax' ]