FM / operators

/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators/

/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators

Name	Size	Mode	Actions
abs_op.h	705	0644	edit dl rm
accumulate_op.h	1073	0644	edit dl rm
accuracy_op.h	652	0644	edit dl rm
acos_op.h	711	0644	edit dl rm
activation_ops_cudnn.h	4122	0644	edit dl rm
affine_channel_op.h	3450	0644	edit dl rm
alias_with_name.h	1234	0644	edit dl rm
apmeter_op.h	1027	0644	edit dl rm
arg_ops.h	2319	0644	edit dl rm
asin_op.h	711	0644	edit dl rm
assert_op.h	1335	0644	edit dl rm
async_net_barrier_op.h	904	0644	edit dl rm
atan_op.h	711	0644	edit dl rm
batch_box_cox_op.h	2287	0644	edit dl rm
batch_bucketize_op.h	720	0644	edit dl rm
batch_gather_ops.h	5264	0644	edit dl rm
batch_matmul_op.h	9602	0644	edit dl rm
batch_moments_op.h	3364	0644	edit dl rm
batch_permutation_op.h	954	0644	edit dl rm
batch_sparse_to_dense_op.h	6147	0644	edit dl rm
bbox_transform_op.h	2668	0644	edit dl rm
bisect_percentile_op.h	4921	0644	edit dl rm
boolean_mask_ops.h	2665	0644	edit dl rm
boolean_unmask_ops.h	378	0644	edit dl rm
box_with_nms_limit_op.h	4960	0644	edit dl rm
bucketize_op.h	1361	0644	edit dl rm
byte_weight_dequant_op.h	1722	0644	edit dl rm
cast_op.h	1393	0644	edit dl rm
cbrt_op.h	723	0644	edit dl rm
cc_bmm_bg_op.h	3894	0644	edit dl rm
ceil_op.h	782	0644	edit dl rm
channel_backprop_stats_op.h	737	0644	edit dl rm
channel_shuffle_op.h	1902	0644	edit dl rm
channel_stats_op.h	1807	0644	edit dl rm
clip_op.h	1639	0644	edit dl rm
collect_and_distribute_fpn_rpn_proposals_op.h	6875	0644	edit dl rm
concat_split_op.h	11850	0644	edit dl rm
conditional_op.h	487	0644	edit dl rm
conv_op.h	3125	0644	edit dl rm
conv_op_cache_cudnn.h	1935	0644	edit dl rm
conv_op_impl.h	28729	0644	edit dl rm
conv_op_shared.h	672	0644	edit dl rm
conv_pool_op_base.h	32109	0644	edit dl rm
conv_transpose_op.h	1727	0644	edit dl rm
conv_transpose_op_impl.h	18264	0644	edit dl rm
conv_transpose_op_mobile.h	1470	0644	edit dl rm
conv_transpose_op_mobile_impl.h	19587	0644	edit dl rm
conv_transpose_unpool_op_base.h	10303	0644	edit dl rm
copy_op.h	1296	0644	edit dl rm
copy_rows_to_tensor_op.h	2599	0644	edit dl rm
cosh_op.h	711	0644	edit dl rm
cosine_embedding_criterion_op.h	1127	0644	edit dl rm
cos_op.h	705	0644	edit dl rm
counter_ops.h	4596	0644	edit dl rm
create_scope_op.h	5232	0644	edit dl rm
cross_entropy_op.h	4420	0644	edit dl rm
ctc_beam_search_decoder_op.h	1102	0644	edit dl rm
ctc_greedy_decoder_op.h	817	0644	edit dl rm
cube_op.h	723	0644	edit dl rm
dataset_ops.h	5501	0644	edit dl rm
data_couple.h	464	0644	edit dl rm
deform_conv_op.h	3543	0644	edit dl rm
deform_conv_op_impl.h	13171	0644	edit dl rm
dense_vector_to_id_list_op.h	1797	0644	edit dl rm
distance_op.h	8419	0644	edit dl rm
do_op.h	6981	0644	edit dl rm
dropout_op.h	1516	0644	edit dl rm
elementwise_add_op.h	2024	0644	edit dl rm
elementwise_div_op.h	1224	0644	edit dl rm
elementwise_linear_op.h	1170	0644	edit dl rm
elementwise_logical_ops.h	5083	0644	edit dl rm
elementwise_mul_op.h	1224	0644	edit dl rm
elementwise_ops.h	19115	0644	edit dl rm
elementwise_ops_utils.h	1008	0644	edit dl rm
elementwise_op_test.h	9237	0644	edit dl rm
elementwise_sub_op.h	2025	0644	edit dl rm
elu_op.h	875	0644	edit dl rm
enforce_finite_op.h	2303	0644	edit dl rm
ensure_clipped_op.h	1608	0644	edit dl rm
ensure_cpu_output_op.h	1465	0644	edit dl rm
erf_op.h	751	0644	edit dl rm
expand_op.h	3877	0644	edit dl rm
expand_squeeze_dims_op.h	3451	0644	edit dl rm
exp_op.h	425	0644	edit dl rm
fc_inference.h	775	0644	edit dl rm
feature_maps_ops.h	32437	0644	edit dl rm
feed_blob_op.h	802	0644	edit dl rm
filler_op.h	18431	0644	edit dl rm
find_duplicate_elements_op.h	1563	0644	edit dl rm
find_op.h	2055	0644	edit dl rm
flatten_op.h	1525	0644	edit dl rm
flexible_top_k.h	936	0644	edit dl rm
floor_op.h	788	0644	edit dl rm
free_op.h	777	0644	edit dl rm
fully_connected_op.h	9351	0644	edit dl rm
fused_rowwise_8bit_conversion_ops.h	6601	0644	edit dl rm
fused_rowwise_nbitfake_conversion_ops.h	4375	0644	edit dl rm
fused_rowwise_nbit_conversion_ops.h	8723	0644	edit dl rm
fused_rowwise_random_quantization_ops.h	2607	0644	edit dl rm
gather_fused_8bit_rowwise_op.h	2179	0644	edit dl rm
gather_op.h	7505	0644	edit dl rm
gather_ranges_to_dense_op.h	8188	0644	edit dl rm
gelu_op.h	1452	0644	edit dl rm
generate_proposals_op.h	6256	0644	edit dl rm
generate_proposals_op_util_boxes.h	14309	0644	edit dl rm
generate_proposals_op_util_nms.h	26214	0644	edit dl rm
generate_proposals_op_util_nms_gpu.h	2128	0644	edit dl rm
given_tensor_byte_string_to_uint8_fill_op.h	2150	0644	edit dl rm
given_tensor_fill_op.h	3002	0644	edit dl rm
glu_op.h	1458	0644	edit dl rm
group_norm_op.h	8967	0644	edit dl rm
gru_unit_op.h	6626	0644	edit dl rm
half_float_ops.h	2732	0644	edit dl rm
hard_sigmoid_op.h	994	0644	edit dl rm
heatmap_max_keypoint_op.h	939	0644	edit dl rm
histogram_op.h	2421	0644	edit dl rm
h_softmax_op.h	4954	0644	edit dl rm
if_op.h	1764	0644	edit dl rm
im2col_op.h	8943	0644	edit dl rm
index_hash_ops.h	2232	0644	edit dl rm
index_ops.h	3155	0644	edit dl rm
inference_lstm_op.h	9881	0644	edit dl rm
instance_norm_op.h	7441	0644	edit dl rm
integral_image_op.h	923	0644	edit dl rm
is_empty_op.h	558	0644	edit dl rm
jsd_op.h	721	0644	edit dl rm
key_split_ops.h	1400	0644	edit dl rm
layer_norm_op.h	8098	0644	edit dl rm
leaky_relu_op.h	1111	0644	edit dl rm
lengths_pad_op.h	2574	0644	edit dl rm
lengths_reducer_fused_8bit_rowwise_ops.h	5532	0644	edit dl rm
lengths_reducer_fused_nbit_rowwise_ops.h	23465	0644	edit dl rm
lengths_reducer_ops.h	23315	0644	edit dl rm
lengths_reducer_rowwise_8bit_ops.h	6180	0644	edit dl rm
lengths_tile_op.h	582	0644	edit dl rm
lengths_top_k_op.h	1358	0644	edit dl rm
length_split_op.h	2259	0644	edit dl rm
listwise_l2r_op.h	1677	0644	edit dl rm
load_save_op.h	14091	0644	edit dl rm
load_save_op_util.h	1642	0644	edit dl rm
locally_connected_op.h	3872	0644	edit dl rm
locally_connected_op_impl.h	26495	0644	edit dl rm
locally_connected_op_util.h	1332	0644	edit dl rm
local_response_normalization_op.h	2804	0644	edit dl rm
log1p_op.h	717	0644	edit dl rm
logit_op.h	1129	0644	edit dl rm
log_op.h	431	0644	edit dl rm
loss_op.h	1058	0644	edit dl rm
lpnorm_op.h	1279	0644	edit dl rm
lstm_unit_op.h	6733	0644	edit dl rm
lstm_utils.h	9424	0644	edit dl rm
map_ops.h	8011	0644	edit dl rm
margin_ranking_criterion_op.h	1113	0644	edit dl rm
matmul_op.h	2843	0644	edit dl rm
max_pool_with_index_gpu.h	1155	0644	edit dl rm
mean_op.h	3252	0644	edit dl rm
merge_id_lists_op.h	2570	0644	edit dl rm
minmax_ops.h	3829	0644	edit dl rm
mish_op.h	794	0644	edit dl rm
mod_op.h	984	0644	edit dl rm
moments_op.h	4051	0644	edit dl rm
multi_class_accuracy_op.h	539	0644	edit dl rm
negate_gradient_op.h	566	0644	edit dl rm
negative_op.h	451	0644	edit dl rm
ngram_ops.h	2644	0644	edit dl rm
normalize_l1_op.h	1075	0644	edit dl rm
normalize_op.h	3013	0644	edit dl rm
no_default_engine_op.h	1063	0644	edit dl rm
numpy_tile_op.h	3643	0644	edit dl rm
one_hot_ops.h	2562	0644	edit dl rm
onnx_while_op.h	10655	0644	edit dl rm
operator_fallback_gpu.h	4155	0644	edit dl rm
op_utils_cudnn.h	2112	0644	edit dl rm
order_switch_ops.h	2149	0644	edit dl rm
pack_rnn_sequence_op.h	3074	0644	edit dl rm
pack_segments.h	2729	0644	edit dl rm
pad_op.h	2902	0644	edit dl rm
partition_ops.h	9958	0644	edit dl rm
percentile_op.h	1009	0644	edit dl rm
perplexity_op.h	447	0644	edit dl rm
piecewise_linear_transform_op.h	8281	0644	edit dl rm
pool_op.h	8525	0644	edit dl rm
pool_op_util.h	1105	0644	edit dl rm
pow_op.h	4677	0644	edit dl rm
prefetch_op.h	4661	0644	edit dl rm
prelu_op.h	1067	0644	edit dl rm
prepend_dim_op.h	2760	0644	edit dl rm
quantile_op.h	4120	0644	edit dl rm
quant_decode_op.h	5370	0644	edit dl rm
rank_loss_op.h	820	0644	edit dl rm
reciprocal_op.h	721	0644	edit dl rm
reducer_functors.h	24556	0644	edit dl rm
reduce_front_back_max_ops.h	4399	0644	edit dl rm
reduce_front_back_sum_mean_ops.h	5337	0644	edit dl rm
reduce_ops.h	9962	0644	edit dl rm
reduction_ops.h	5944	0644	edit dl rm
relu_n_op.h	990	0644	edit dl rm
relu_op.h	624	0644	edit dl rm
remove_data_blocks_op.h	2651	0644	edit dl rm
replace_nan_op.h	1170	0644	edit dl rm
reshape_op.h	5723	0644	edit dl rm
resize_3d_op.h	2677	0644	edit dl rm
resize_op.h	2307	0644	edit dl rm
reverse_packed_segs_op.h	2772	0644	edit dl rm
rmac_regions_op.h	708	0644	edit dl rm
rms_norm_op.h	2968	0644	edit dl rm
roi_align_gradient_op.h	1486	0644	edit dl rm
roi_align_op.h	2857	0644	edit dl rm
roi_align_rotated_gradient_op.h	1369	0644	edit dl rm
roi_align_rotated_op.h	1636	0644	edit dl rm
roi_pool_op.h	2503	0644	edit dl rm
rowmul_op.h	1947	0644	edit dl rm
rsqrt_op.h	729	0644	edit dl rm
scale_blobs_op.h	1458	0644	edit dl rm
scale_op.h	1019	0644	edit dl rm
segment_reduction_op.h	71022	0644	edit dl rm
self_binning_histogram_op.h	6258	0644	edit dl rm
selu_op.h	1545	0644	edit dl rm
sequence_ops.h	8264	0644	edit dl rm
shape_op.h	1638	0644	edit dl rm
sigmoid_op.h	639	0644	edit dl rm
sinh_op.h	711	0644	edit dl rm
sinusoid_position_encoding_op.h	2834	0644	edit dl rm
sin_op.h	705	0644	edit dl rm
slice_op.h	10071	0644	edit dl rm
softmax_op.h	1174	0644	edit dl rm
softmax_utils.h	447	0644	edit dl rm
softmax_with_loss_op.h	2883	0644	edit dl rm
softplus_op.h	781	0644	edit dl rm
softsign_op.h	675	0644	edit dl rm
space_batch_op.h	6848	0644	edit dl rm
sparse_dropout_with_replacement_op.h	1122	0644	edit dl rm
sparse_itemwise_dropout_with_replacement_op.h	1163	0644	edit dl rm
sparse_lp_regularizer_op.h	1130	0644	edit dl rm
sparse_normalize_op.h	834	0644	edit dl rm
sparse_to_dense_mask_op.h	10051	0644	edit dl rm
sparse_to_dense_op.h	3977	0644	edit dl rm
spatial_batch_norm_op.h	15175	0644	edit dl rm
spatial_softmax_with_loss_op.h	2182	0644	edit dl rm
sqrt_op.h	448	0644	edit dl rm
sqr_op.h	431	0644	edit dl rm
square_root_divide_op.h	1857	0644	edit dl rm
stats_put_ops.h	2813	0644	edit dl rm
stop_gradient.h	548	0644	edit dl rm
string_ops.h	2067	0644	edit dl rm
stump_func_op.h	2112	0644	edit dl rm
summarize_op.h	1875	0644	edit dl rm
swish_op.h	772	0644	edit dl rm
tanh_op.h	723	0644	edit dl rm
tan_op.h	705	0644	edit dl rm
tensor_protos_db_input.h	3633	0644	edit dl rm
text_file_reader_utils.h	2900	0644	edit dl rm
thresholded_relu_op.h	1137	0644	edit dl rm
tile_op.h	8741	0644	edit dl rm
top_k.h	1061	0644	edit dl rm
transpose_op.h	2082	0644	edit dl rm
tt_linear_op.h	6501	0644	edit dl rm
unique_ops.h	1666	0644	edit dl rm
unsafe_coalesce.h	2481	0644	edit dl rm
upsample_op.h	2246	0644	edit dl rm
utility_ops.h	49994	0644	edit dl rm
variable_length_sequence_padding.h	1378	0644	edit dl rm
weighted_multi_sampling_op.h	602	0644	edit dl rm
weighted_sample_op.h	739	0644	edit dl rm
while_op.h	1961	0644	edit dl rm
zero_gradient_op.h	347	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators/map_ops.h (8011B)

#ifndef CAFFE2_OPERATORS_MAP_OPS_H_
#define CAFFE2_OPERATORS_MAP_OPS_H_

#include <algorithm>
#include <iterator>
#include <string>
#include <typeinfo>
#include <unordered_map>
#include <utility>
#include <vector>

#include "caffe2/core/blob_serialization.h"
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"

namespace caffe2 {

template <typename T>
struct TypeNameTraits {
  static constexpr const char* name = "unknown";
};

template <>
struct TypeNameTraits<int64_t> {
  static constexpr const char* name = "int64_t";
};

template <>
struct TypeNameTraits<int32_t> {
  static constexpr const char* name = "int32_t";
};

template <typename KEY_T, typename VALUE_T>
struct MapTypeTraits {
  using MapType = std::unordered_map<KEY_T, VALUE_T>;
  static string MapTypeName() {
    return string("(std::unordered_map<") + TypeNameTraits<KEY_T>::name + ", " +
        TypeNameTraits<VALUE_T>::name + ">)";
  }
};

using MapType64To64 = MapTypeTraits<int64_t, int64_t>::MapType;
using MapType64To32 = MapTypeTraits<int64_t, int32_t>::MapType;
using MapType32To32 = MapTypeTraits<int32_t, int32_t>::MapType;
using MapType32To64 = MapTypeTraits<int32_t, int64_t>::MapType;

template <class Context>
class CreateMapOp final : public Operator<Context> {
 public:
  USE_OPERATOR_CONTEXT_FUNCTIONS;
  template <class... Args>
  explicit CreateMapOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  ~CreateMapOp() {}

bool RunOnDevice() override {
    TensorProto::DataType key_dtype = static_cast<TensorProto::DataType>(
        this->template GetSingleArgument<int>(
            "key_dtype", TensorProto_DataType_INT32));

return DispatchHelper<TensorTypes<int32_t, int64_t>>::call(
        this, DataTypeToTypeMeta(key_dtype));
  }

template <typename KEY_T>
  bool DoRunWithType() {
    TensorProto::DataType value_dtype = static_cast<TensorProto::DataType>(
        this->template GetSingleArgument<int>(
            "value_dtype", TensorProto_DataType_INT32));

return DispatchHelper<
        TensorTypes2<int32_t, int64_t, GenericTensorImplementation>,
        KEY_T>::call(this, DataTypeToTypeMeta(value_dtype));
  }

template <typename KEY_T, typename VALUE_T>
  bool DoRunWithType2() {
    // clear to make sure the map is empty
    this->template Output<typename MapTypeTraits<KEY_T, VALUE_T>::MapType>(MAP)
        ->clear();
    return true;
  }

template <typename KEY_T>
  bool DoRunWithOtherType2() {
    TensorProto::DataType value_dtype = static_cast<TensorProto::DataType>(
        this->template GetSingleArgument<int>(
            "value_dtype", TensorProto_DataType_INT32));

CAFFE_THROW(
        "CreateMap is not implemented on value tensor of type ",
        DataTypeToTypeMeta(value_dtype).name(),
        "consider adding it as a type in the DispatchHelper list");
  }

OUTPUT_TAGS(MAP);
};

template <class Context>
class KeyValueToMapOp final : public Operator<Context> {
 public:
  USE_OPERATOR_CONTEXT_FUNCTIONS;
  template <class... Args>
  explicit KeyValueToMapOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  ~KeyValueToMapOp() {}

bool RunOnDevice() override {
    return DispatchHelper<TensorTypes<int32_t, int64_t>>::call(
        this, Input(KEYS));
  }

template <typename KEY_T>
  bool DoRunWithType() {
    return DispatchHelper<
        TensorTypes2<int32_t, int64_t, GenericTensorImplementation>,
        KEY_T>::call(this, Input(VALUES));
  }

template <typename KEY_T, typename VALUE_T>
  bool DoRunWithType2() {
    using MapType = typename MapTypeTraits<KEY_T, VALUE_T>::MapType;
    const auto& key_input = Input(KEYS);
    const auto& value_input = Input(VALUES);

CAFFE_ENFORCE_EQ(key_input.numel(), value_input.numel());

auto* key_data = key_input.template data<KEY_T>();
    auto* value_data = value_input.template data<VALUE_T>();

auto* map_data = this->template Output<MapType>(MAP);

for (int i = 0; i < key_input.numel(); ++i) {
      map_data->emplace(key_data[i], value_data[i]);
    }

return true;
  }

template <typename KEY_T>
  bool DoRunWithOtherType2() {
    CAFFE_THROW(
        "KeyValueToMap is not implemented on value tensor of type ",
        Input(VALUES).dtype().name(),
        "consider adding it as a type in the DispatchHelper list");
  }

INPUT_TAGS(KEYS, VALUES);
  OUTPUT_TAGS(MAP);
};

template <class Context>
class MapToKeyValueOp final : public Operator<Context> {
 public:
  USE_OPERATOR_CONTEXT_FUNCTIONS;
  template <class... Args>
  explicit MapToKeyValueOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  ~MapToKeyValueOp() {}

bool RunOnDevice() override {
    return DispatchHelper<TensorTypes<
        MapType64To64,
        MapType64To32,
        MapType32To32,
        MapType32To64>>::call(this, OperatorBase::InputBlob(MAP));
  }

template <typename MAP_T>
  bool DoRunWithType() {
    using key_type = typename MAP_T::key_type;
    using mapped_type = typename MAP_T::mapped_type;
    auto& map_data = this->template Input<MAP_T>(MAP);

auto* key_output = Output(
        KEYS, {static_cast<int64_t>(map_data.size())}, at::dtype<key_type>());
    auto* value_output = Output(
        VALUES,
        {static_cast<int64_t>(map_data.size())},
        at::dtype<mapped_type>());
    auto* key_data = key_output->template mutable_data<key_type>();
    auto* value_data = value_output->template mutable_data<mapped_type>();

for (const auto& it : map_data) {
      *key_data = it.first;
      *value_data = it.second;
      key_data++;
      value_data++;
    }

return true;
  }

INPUT_TAGS(MAP);
  OUTPUT_TAGS(KEYS, VALUES);
};

template <typename KEY_T, typename VALUE_T>
class MapSerializer : public BlobSerializerBase {
 public:
  using MapType = typename MapTypeTraits<KEY_T, VALUE_T>::MapType;

void Serialize(
      const void* pointer,
      TypeMeta typeMeta,
      const string& name,
      BlobSerializerBase::SerializationAcceptor acceptor) override {
    CAFFE_ENFORCE(typeMeta.Match<MapType>());
    const MapType& map_data = *static_cast<const MapType*>(pointer);
    int64_t sz = map_data.size();
    Tensor key_tensor(CPU);
    key_tensor.Resize(sz);
    Tensor value_tensor(CPU);
    value_tensor.Resize(sz);
    auto* key_data = key_tensor.mutable_data<KEY_T>();
    auto* value_data = value_tensor.mutable_data<VALUE_T>();
    for (const auto& it : map_data) {
      *key_data = it.first;
      *value_data = it.second;
      key_data++;
      value_data++;
    }

TensorProtos tensor_protos;
    TensorSerializer ser;
    ser.Serialize(
        key_tensor, name, tensor_protos.add_protos(), 0, key_tensor.numel());
    ser.Serialize(
        value_tensor,
        name,
        tensor_protos.add_protos(),
        0,
        value_tensor.numel());

BlobProto blob_proto;
    blob_proto.set_name(name);
    blob_proto.set_type(MapTypeTraits<KEY_T, VALUE_T>::MapTypeName());
    blob_proto.set_content(SerializeAsString_EnforceCheck(tensor_protos));
    acceptor(name, SerializeBlobProtoAsString_EnforceCheck(blob_proto));
  }
};

template <typename KEY_T, typename VALUE_T>
class MapDeserializer : public BlobDeserializerBase {
 public:
  using MapType = typename MapTypeTraits<KEY_T, VALUE_T>::MapType;

void Deserialize(const BlobProto& proto, Blob* blob) override {
    TensorProtos tensor_protos;
    CAFFE_ENFORCE(
        tensor_protos.ParseFromString(proto.content()),
        "Fail to parse TensorProtos");
    TensorDeserializer deser;
    Tensor key_tensor = deser.Deserialize(tensor_protos.protos(0));
    Tensor value_tensor = deser.Deserialize(tensor_protos.protos(1));
    auto* key_data = key_tensor.data<KEY_T>();
    auto* value_data = value_tensor.data<VALUE_T>();

auto* map_ptr = blob->template GetMutable<MapType>();
    for (int i = 0; i < key_tensor.numel(); ++i) {
      map_ptr->emplace(key_data[i], value_data[i]);
    }
  }
};

} // namespace caffe2

#endif // CAFFE2_OPERATORS_MAP_OPS_H_

cmd: