include/caffe2/operators · neilisaac/torch

neilisaac / torch python

Repository URL to install this package:

Version: 1.8.0

/ include / caffe2 / operators

top_k.h

channel_stats_op.h

gru_unit_op.h

half_float_ops.h

sqr_op.h

mean_op.h

thresholded_relu_op.h

ctc_greedy_decoder_op.h

conv_op_cache_cudnn.h

utility_ops.h

selu_op.h

map_ops.h

roi_align_rotated_op.h

fused_rowwise_random_quantization_ops.h

stop_gradient.h

batch_gather_ops.h

asin_op.h

cosh_op.h

atan_op.h

reverse_packed_segs_op.h

given_tensor_byte_string_to_uint8_fill_op.h

ensure_clipped_op.h

conv_transpose_op.h

generate_proposals_op_util_nms.h

enforce_finite_op.h

conv_transpose_unpool_op_base.h

gather_fused_8bit_rowwise_op.h

batch_matmul_op.h

batch_bucketize_op.h

softsign_op.h

elementwise_logical_ops.h

percentile_op.h

length_split_op.h

locally_connected_op_impl.h

rmac_regions_op.h

hard_sigmoid_op.h

ensure_cpu_output_op.h

batch_box_cox_op.h

ctc_beam_search_decoder_op.h

flexible_top_k.h

fully_connected_op.h

key_split_ops.h

reciprocal_op.h

roi_align_gradient_op.h

group_norm_op.h

load_save_op.h

cos_op.h

expand_op.h

elementwise_ops.h

im2col_op.h

space_batch_op.h

relu_op.h

while_op.h

remove_data_blocks_op.h

elementwise_mul_op.h

numpy_tile_op.h

rowmul_op.h

accumulate_op.h

sparse_lp_regularizer_op.h

bisect_percentile_op.h

tile_op.h

gelu_op.h

stats_put_ops.h

given_tensor_fill_op.h

accuracy_op.h

bbox_transform_op.h

boolean_unmask_ops.h

glu_op.h

resize_3d_op.h

unsafe_coalesce.h

conv_op.h

conv_op_impl.h

erf_op.h

fused_rowwise_8bit_conversion_ops.h

locally_connected_op_util.h

channel_backprop_stats_op.h

order_switch_ops.h

lengths_reducer_fused_nbit_rowwise_ops.h

lengths_reducer_fused_8bit_rowwise_ops.h

load_save_op_util.h

conv_transpose_op_impl.h

op_utils_cudnn.h

prelu_op.h

box_with_nms_limit_op.h

fc_inference.h

distance_op.h

data_couple.h

dataset_ops.h

merge_id_lists_op.h

generate_proposals_op_util_nms_gpu.h

async_net_barrier_op.h

deform_conv_op.h

sqrt_op.h

elementwise_div_op.h

deform_conv_op_impl.h

feature_maps_ops.h

text_file_reader_utils.h

scale_blobs_op.h

pool_op.h

conv_transpose_op_mobile_impl.h

dense_vector_to_id_list_op.h

minmax_ops.h

lengths_tile_op.h

pool_op_util.h

no_default_engine_op.h

onnx_while_op.h

reduce_front_back_sum_mean_ops.h

roi_pool_op.h

flatten_op.h

self_binning_histogram_op.h

normalize_l1_op.h

pow_op.h

exp_op.h

heatmap_max_keypoint_op.h

assert_op.h

piecewise_linear_transform_op.h

cbrt_op.h

weighted_sample_op.h

tanh_op.h

softmax_op.h

listwise_l2r_op.h

variable_length_sequence_padding.h

elementwise_add_op.h

leaky_relu_op.h

elementwise_linear_op.h

elu_op.h

jsd_op.h

collect_and_distribute_fpn_rpn_proposals_op.h

reduce_ops.h

string_ops.h

boolean_mask_ops.h

local_response_normalization_op.h

partition_ops.h

sparse_dropout_with_replacement_op.h

loss_op.h

counter_ops.h

h_softmax_op.h

lengths_reducer_rowwise_8bit_ops.h

copy_rows_to_tensor_op.h

moments_op.h

logit_op.h

perplexity_op.h

roi_align_rotated_gradient_op.h

ceil_op.h

find_op.h

layer_norm_op.h

negate_gradient_op.h

resize_op.h

lengths_reducer_ops.h

batch_sparse_to_dense_op.h

replace_nan_op.h

max_pool_with_index_gpu.h

find_duplicate_elements_op.h

expand_squeeze_dims_op.h

sinusoid_position_encoding_op.h

pack_segments.h

softplus_op.h

quantile_op.h

sinh_op.h

fused_rowwise_nbitfake_conversion_ops.h

cross_entropy_op.h

feed_blob_op.h

slice_op.h

rsqrt_op.h

free_op.h

square_root_divide_op.h

conv_op_shared.h

apmeter_op.h

lstm_unit_op.h

index_hash_ops.h

lengths_pad_op.h

elementwise_ops_utils.h

sparse_normalize_op.h

multi_class_accuracy_op.h

cast_op.h

transpose_op.h

create_scope_op.h

zero_gradient_op.h

lstm_utils.h

tt_linear_op.h

relu_n_op.h

generate_proposals_op.h

lpnorm_op.h

sequence_ops.h

abs_op.h

activation_ops_cudnn.h

elementwise_op_test.h

inference_lstm_op.h

concat_split_op.h

reduction_ops.h

gather_op.h

log_op.h

conv_pool_op_base.h

unique_ops.h

elementwise_sub_op.h

segment_reduction_op.h

fused_rowwise_nbit_conversion_ops.h

stump_func_op.h

swish_op.h

pack_rnn_sequence_op.h

softmax_with_loss_op.h

integral_image_op.h

mish_op.h

weighted_multi_sampling_op.h

bucketize_op.h

is_empty_op.h

mod_op.h

clip_op.h

prepend_dim_op.h

copy_op.h

rank_loss_op.h

lengths_top_k_op.h

summarize_op.h

one_hot_ops.h

cc_bmm_bg_op.h

acos_op.h

softmax_utils.h

tensor_protos_db_input.h

generate_proposals_op_util_boxes.h

conv_transpose_op_mobile.h

arg_ops.h

negative_op.h

operator_fallback_gpu.h

margin_ranking_criterion_op.h

matmul_op.h

roi_align_op.h

pad_op.h

histogram_op.h

floor_op.h

normalize_op.h

cube_op.h

reshape_op.h

instance_norm_op.h

ngram_ops.h

if_op.h

reduce_front_back_max_ops.h

reducer_functors.h

affine_channel_op.h

sigmoid_op.h

channel_shuffle_op.h

locally_connected_op.h

conditional_op.h

rms_norm_op.h

dropout_op.h

gather_ranges_to_dense_op.h

shape_op.h

index_ops.h

tan_op.h

scale_op.h

cosine_embedding_criterion_op.h

sparse_to_dense_op.h

quant_decode_op.h

sparse_to_dense_mask_op.h

sin_op.h

upsample_op.h

filler_op.h

batch_permutation_op.h

spatial_softmax_with_loss_op.h

batch_moments_op.h

alias_with_name.h

do_op.h

prefetch_op.h

byte_weight_dequant_op.h

spatial_batch_norm_op.h

neilisaac / torch python

Version: 1.8.0

/ include / caffe2 / operators

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