include/caffe2/operators · neilisaac/torch

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neilisaac / torch python

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Version: 1.8.0

/ include / caffe2 / operators

4y abs_op.h

4y accumulate_op.h

4y accuracy_op.h

4y acos_op.h

4y activation_ops_cudnn.h

4y affine_channel_op.h

4y alias_with_name.h

4y apmeter_op.h

4y arg_ops.h

4y asin_op.h

4y assert_op.h

4y async_net_barrier_op.h

4y atan_op.h

4y batch_box_cox_op.h

4y batch_bucketize_op.h

4y batch_gather_ops.h

4y batch_matmul_op.h

4y batch_moments_op.h

4y batch_permutation_op.h

4y batch_sparse_to_dense_op.h

4y bbox_transform_op.h

4y bisect_percentile_op.h

4y boolean_mask_ops.h

4y boolean_unmask_ops.h

4y box_with_nms_limit_op.h

4y bucketize_op.h

4y byte_weight_dequant_op.h

4y cast_op.h

4y cbrt_op.h

4y cc_bmm_bg_op.h

4y ceil_op.h

4y channel_backprop_stats_op.h

4y channel_shuffle_op.h

4y channel_stats_op.h

4y clip_op.h

4y collect_and_distribute_fpn_rpn_proposals_op.h

4y concat_split_op.h

4y conditional_op.h

4y conv_op.h

4y conv_op_cache_cudnn.h

4y conv_op_impl.h

4y conv_op_shared.h

4y conv_pool_op_base.h

4y conv_transpose_op.h

4y conv_transpose_op_impl.h

4y conv_transpose_op_mobile.h

4y conv_transpose_op_mobile_impl.h

4y conv_transpose_unpool_op_base.h

4y copy_op.h

4y copy_rows_to_tensor_op.h

4y cos_op.h

4y cosh_op.h

4y cosine_embedding_criterion_op.h

4y counter_ops.h

4y create_scope_op.h

4y cross_entropy_op.h

4y ctc_beam_search_decoder_op.h

4y ctc_greedy_decoder_op.h

4y cube_op.h

4y data_couple.h

4y dataset_ops.h

4y deform_conv_op.h

4y deform_conv_op_impl.h

4y dense_vector_to_id_list_op.h

4y distance_op.h

4y do_op.h

4y dropout_op.h

4y elementwise_add_op.h

4y elementwise_div_op.h

4y elementwise_linear_op.h

4y elementwise_logical_ops.h

4y elementwise_mul_op.h

4y elementwise_op_test.h

4y elementwise_ops.h

4y elementwise_ops_utils.h

4y elementwise_sub_op.h

4y elu_op.h

4y enforce_finite_op.h

4y ensure_clipped_op.h

4y ensure_cpu_output_op.h

4y erf_op.h

4y exp_op.h

4y expand_op.h

4y expand_squeeze_dims_op.h

4y fc_inference.h

4y feature_maps_ops.h

4y feed_blob_op.h

4y filler_op.h

4y find_duplicate_elements_op.h

4y find_op.h

4y flatten_op.h

4y flexible_top_k.h

4y floor_op.h

4y free_op.h

4y fully_connected_op.h

4y fused_rowwise_8bit_conversion_ops.h

4y fused_rowwise_nbit_conversion_ops.h

4y fused_rowwise_nbitfake_conversion_ops.h

4y fused_rowwise_random_quantization_ops.h

4y gather_fused_8bit_rowwise_op.h

4y gather_op.h

4y gather_ranges_to_dense_op.h

4y gelu_op.h

4y generate_proposals_op.h

4y generate_proposals_op_util_boxes.h

4y generate_proposals_op_util_nms.h

4y generate_proposals_op_util_nms_gpu.h

4y given_tensor_byte_string_to_uint8_fill_op.h

4y given_tensor_fill_op.h

4y glu_op.h

4y group_norm_op.h

4y gru_unit_op.h

4y h_softmax_op.h

4y half_float_ops.h

4y hard_sigmoid_op.h

4y heatmap_max_keypoint_op.h

4y histogram_op.h

4y if_op.h

4y im2col_op.h

4y index_hash_ops.h

4y index_ops.h

4y inference_lstm_op.h

4y instance_norm_op.h

4y integral_image_op.h

4y is_empty_op.h

4y jsd_op.h

4y key_split_ops.h

4y layer_norm_op.h

4y leaky_relu_op.h

4y length_split_op.h

4y lengths_pad_op.h

4y lengths_reducer_fused_8bit_rowwise_ops.h

4y lengths_reducer_fused_nbit_rowwise_ops.h

4y lengths_reducer_ops.h

4y lengths_reducer_rowwise_8bit_ops.h

4y lengths_tile_op.h

4y lengths_top_k_op.h

4y listwise_l2r_op.h

4y load_save_op.h

4y load_save_op_util.h

4y local_response_normalization_op.h

4y locally_connected_op.h

4y locally_connected_op_impl.h

4y locally_connected_op_util.h

4y log_op.h

4y logit_op.h

4y loss_op.h

4y lpnorm_op.h

4y lstm_unit_op.h

4y lstm_utils.h

4y map_ops.h

4y margin_ranking_criterion_op.h

4y matmul_op.h

4y max_pool_with_index_gpu.h

4y mean_op.h

4y merge_id_lists_op.h

4y minmax_ops.h

4y mish_op.h

4y mod_op.h

4y moments_op.h

4y multi_class_accuracy_op.h

4y negate_gradient_op.h

4y negative_op.h

4y ngram_ops.h

4y no_default_engine_op.h

4y normalize_l1_op.h

4y normalize_op.h

4y numpy_tile_op.h

4y one_hot_ops.h

4y onnx_while_op.h

4y op_utils_cudnn.h

4y operator_fallback_gpu.h

4y order_switch_ops.h

4y pack_rnn_sequence_op.h

4y pack_segments.h

4y pad_op.h

4y partition_ops.h

4y percentile_op.h

4y perplexity_op.h

4y piecewise_linear_transform_op.h

4y pool_op.h

4y pool_op_util.h

4y pow_op.h

4y prefetch_op.h

4y prelu_op.h

4y prepend_dim_op.h

4y quant_decode_op.h

4y quantile_op.h

4y rank_loss_op.h

4y reciprocal_op.h

4y reduce_front_back_max_ops.h

4y reduce_front_back_sum_mean_ops.h

4y reduce_ops.h

4y reducer_functors.h

4y reduction_ops.h

4y relu_n_op.h

4y relu_op.h

4y remove_data_blocks_op.h

4y replace_nan_op.h

4y reshape_op.h

4y resize_3d_op.h

4y resize_op.h

4y reverse_packed_segs_op.h

4y rmac_regions_op.h

4y rms_norm_op.h

4y roi_align_gradient_op.h

4y roi_align_op.h

4y roi_align_rotated_gradient_op.h

4y roi_align_rotated_op.h

4y roi_pool_op.h

4y rowmul_op.h

4y rsqrt_op.h

4y scale_blobs_op.h

4y scale_op.h

4y segment_reduction_op.h

4y self_binning_histogram_op.h

4y selu_op.h

4y sequence_ops.h

4y shape_op.h

4y sigmoid_op.h

4y sin_op.h

4y sinh_op.h

4y sinusoid_position_encoding_op.h

4y slice_op.h

4y softmax_op.h

4y softmax_utils.h

4y softmax_with_loss_op.h

4y softplus_op.h

4y softsign_op.h

4y space_batch_op.h

4y sparse_dropout_with_replacement_op.h

4y sparse_lp_regularizer_op.h

4y sparse_normalize_op.h

4y sparse_to_dense_mask_op.h

4y sparse_to_dense_op.h

4y spatial_batch_norm_op.h

4y spatial_softmax_with_loss_op.h

4y sqr_op.h

4y sqrt_op.h

4y square_root_divide_op.h

4y stats_put_ops.h

4y stop_gradient.h

4y string_ops.h

4y stump_func_op.h

4y summarize_op.h

4y swish_op.h

4y tan_op.h

4y tanh_op.h

4y tensor_protos_db_input.h

4y text_file_reader_utils.h

4y thresholded_relu_op.h

4y tile_op.h

4y top_k.h

4y transpose_op.h

4y tt_linear_op.h

4y unique_ops.h

4y unsafe_coalesce.h

4y upsample_op.h

4y utility_ops.h

4y variable_length_sequence_padding.h

4y weighted_multi_sampling_op.h

4y weighted_sample_op.h

4y while_op.h

4y zero_gradient_op.h

neilisaac / torch python

Version: 1.8.0

/ include / caffe2 / operators

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