repo stringlengths 1 152 ⌀ | file stringlengths 14 221 | code stringlengths 501 25k | file_length int64 501 25k | avg_line_length float64 20 99.5 | max_line_length int64 21 134 | extension_type stringclasses 2
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|---|---|---|---|---|---|---|
null | pytorch-main/caffe2/operators/accuracy_op.h | #ifndef CAFFE2_OPERATORS_ACCURACY_OP_H_
#define CAFFE2_OPERATORS_ACCURACY_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <typename T, class Context>
class AccuracyOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class..... | 652 | 22.321429 | 68 | h |
null | pytorch-main/caffe2/operators/activation_ops_cudnn.h | #ifndef CAFFE2_OPERATORS_ACTIVATION_OPS_CUDNN_H_
#define CAFFE2_OPERATORS_ACTIVATION_OPS_CUDNN_H_
#include "caffe2/core/context_gpu.h"
#include "caffe2/core/cudnn_wrappers.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor.h"
#include "caffe2/core/types.h"
namespace caffe2 {
class CuDNNActivationOpBas... | 4,122 | 28.241135 | 80 | h |
null | pytorch-main/caffe2/operators/affine_channel_op.h | #ifndef CAFFE2_OPERATORS_AFFINE_CHANNEL_OP_H_
#define CAFFE2_OPERATORS_AFFINE_CHANNEL_OP_H_
#include <string>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>
class AffineChannel... | 3,450 | 27.056911 | 77 | h |
null | pytorch-main/caffe2/operators/alias_with_name.h | #ifndef ALIAS_WITH_NAME_OP_H_
#define ALIAS_WITH_NAME_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/operator.h"
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(AliasWithName)
namespace caffe2 {
template <class Context>
class AliasWithNameOp final : public Operator... | 1,234 | 25.276596 | 80 | h |
null | pytorch-main/caffe2/operators/apmeter_op.h | #ifndef CAFFE2_MAP_OP_H_
#define CAFFE2_MAP_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <typename T, class Context>
class APMeterOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit APMeterOp(A... | 1,027 | 22.906977 | 76 | h |
null | pytorch-main/caffe2/operators/arg_ops.h | #ifndef CAFFE2_OPERATORS_ARG_OPS_H_
#define CAFFE2_OPERATORS_ARG_OPS_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/types.h"
#include <c10/util/irange.h>
#include <algorithm>
#include <iterator>
#include <vector>
namespace caffe2 {
template <class Context, class Reducer>... | 2,356 | 22.107843 | 72 | h |
null | pytorch-main/caffe2/operators/assert_op.h | #ifndef CAFFE2_OPERATORS_ASSERT_OP_H_
#define CAFFE2_OPERATORS_ASSERT_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include <c10/util/irange.h>
namespace caffe2 {
template <class Context>
class AssertOp final : public Operator<Context> {
public:
template <class... Args>
explicit Asse... | 1,374 | 24.943396 | 78 | h |
null | pytorch-main/caffe2/operators/async_net_barrier_op.h | #ifndef CAFFE2_OPERATORS_ASYNC_BARRIER_OP_H_
#define CAFFE2_OPERATORS_ASYNC_BARRIER_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <class Context>
class AsyncNetBarrierOp : public Operator<Context> {
public:
USE... | 904 | 28.193548 | 79 | h |
null | pytorch-main/caffe2/operators/batch_box_cox_op.h | #ifndef CAFFE_OPERATORS_BATCH_BOX_COX_OPS_H_
#define CAFFE_OPERATORS_BATCH_BOX_COX_OPS_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(BatchBoxCox)... | 1,015 | 24.4 | 79 | h |
null | pytorch-main/caffe2/operators/batch_bucketize_op.h | // Copyright 2004-present Facebook. All Rights Reserved.
#ifndef CAFFE2_OPERATORS_BATCH_BUCKETIZE_OP_H_
#define CAFFE2_OPERATORS_BATCH_BUCKETIZE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <class Context>
class BatchBucketizeOp ... | 720 | 22.258065 | 57 | h |
null | pytorch-main/caffe2/operators/batch_gather_ops.h | #ifndef CAFFE2_OPERATORS_BATCH_GATHER_OPS_H_
#define CAFFE2_OPERATORS_BATCH_GATHER_OPS_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
// Reuse helper logic from GatherOp since BatchGather is the same with axis=1.
#include "caffe2/operators/gather_op.h"
namespace c... | 5,276 | 30.041176 | 79 | h |
null | pytorch-main/caffe2/operators/batch_matmul_op.h | #ifndef CAFFE2_OPERATORS_BATCH_MATMUL_OP_H_
#define CAFFE2_OPERATORS_BATCH_MATMUL_OP_H_
#include <algorithm>
#include <functional>
#include <numeric>
#include <string>
#include <vector>
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <cla... | 9,602 | 28.457055 | 79 | h |
null | pytorch-main/caffe2/operators/batch_moments_op.h | #ifndef CAFFE2_OPERATORS_BATCH_MOMENTS_OP_H_
#define CAFFE2_OPERATORS_BATCH_MOMENTS_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <typename T, class Context>
class BatchMomentsOp final : public Operator<Context> {
public:
USE_... | 3,364 | 27.277311 | 80 | h |
null | pytorch-main/caffe2/operators/batch_permutation_op.h | #ifndef BATCHPERMUTATION_OP_H_
#define BATCHPERMUTATION_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(BatchPermutation)
namespace caffe2 {
t... | 972 | 24.605263 | 67 | h |
null | pytorch-main/caffe2/operators/batch_sparse_to_dense_op.h | // Copyright 2004-present Facebook. All Rights Reserved.
#ifndef CAFFE2_OPERATORS_BATCH_SPARSE_TO_DENSE_OP_H_
#define CAFFE2_OPERATORS_BATCH_SPARSE_TO_DENSE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>... | 6,155 | 28.454545 | 82 | h |
null | pytorch-main/caffe2/operators/bbox_transform_op.h | // Copyright 2004-present Facebook. All Rights Reserved.
#ifndef BBOX_TRANSFORM_OP_H_
#define BBOX_TRANSFORM_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
C10_DECLARE_EXPORT_CAF... | 2,668 | 35.067568 | 79 | h |
null | pytorch-main/caffe2/operators/bisect_percentile_op.h | #ifndef CAFFE2_OPERATORS_BISECT_PERCENTILE_OP_H_
#define CAFFE2_OPERATORS_BISECT_PERCENTILE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor.h"
#include "caffe2/utils/math.h"
#include "c10/util/irange.h"
namespace caffe2 {
template... | 5,023 | 29.26506 | 79 | h |
null | pytorch-main/caffe2/operators/boolean_mask_ops.h | #ifndef CAFFE2_OPERATORS_BOOLEAN_MASK_OPS_H_
#define CAFFE2_OPERATORS_BOOLEAN_MASK_OPS_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor.h"
#include "caffe2/utils/conversions.h"
namespace caffe2 {
template <class Context>
class BooleanMaskOp final : public Operator<Co... | 2,665 | 27.978261 | 80 | h |
null | pytorch-main/caffe2/operators/box_with_nms_limit_op.h | // Copyright 2004-present Facebook. All Rights Reserved.
#ifndef BOX_WITH_NMS_AND_LIMIT_OP_H_
#define BOX_WITH_NMS_AND_LIMIT_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/operator.h"
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(BoxWithNMSLimit)
namespace caffe2... | 4,969 | 37.828125 | 79 | h |
null | pytorch-main/caffe2/operators/bucketize_op.h | // Copyright 2004-present Facebook. All Rights Reserved.
#ifndef CAFFE2_OPERATORS_BUCKETIZE_OP_H_
#define CAFFE2_OPERATORS_BUCKETIZE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"... | 1,361 | 25.705882 | 78 | h |
null | pytorch-main/caffe2/operators/byte_weight_dequant_op.h | #ifndef CAFFE2_OPERATORS_BYTE_WEIGHT_DEQUANT_OP_H_
#define CAFFE2_OPERATORS_BYTE_WEIGHT_DEQUANT_OP_H_
#include "caffe2/core/operator.h"
#include "caffe2/utils/eigen_utils.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename Context>
class ByteWeightDequantOp : public Operator<Context> {
public:
... | 1,732 | 29.946429 | 71 | h |
null | pytorch-main/caffe2/operators/cast_op.h | #pragma once
#include <c10/util/irange.h>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/types.h"
#include "caffe2/utils/cast.h"
#include "caffe2/utils/conversions.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <class Context>
... | 1,350 | 23.125 | 66 | h |
null | pytorch-main/caffe2/operators/cc_bmm_bg_op.h | #ifndef CAFFE2_FB_OPERATORS_CC_BMM_BG_H_
#define CAFFE2_FB_OPERATORS_CC_BMM_BG_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/types.h"
#include "caffe2/utils/math.h"
#include "c10/util/irange.h"
namespace caffe2 {
using T = float;
using TInd = int;
using Engine = DefaultE... | 3,980 | 26.455172 | 80 | h |
null | pytorch-main/caffe2/operators/ceil_op.h | #ifndef CAFFE2_OPERATORS_CEIL_OP_H_
#define CAFFE2_OPERATORS_CEIL_OP_H_
#include "caffe2/core/common_omp.h"
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include <c10/util/irange.h>
namespace caffe2 {
template <typename T, class Context>
class CeilOp final : pub... | 837 | 22.942857 | 61 | h |
null | pytorch-main/caffe2/operators/channel_backprop_stats_op.h | #ifndef CHANNEL_BACKPROP_STATS_OP_H
#define CHANNEL_BACKPROP_STATS_OP_H
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <class Context>
class ChannelBackpropStatsOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
... | 746 | 20.970588 | 63 | h |
null | pytorch-main/caffe2/operators/channel_shuffle_op.h | #ifndef CAFFE2_OPERATORS_CHANNEL_SHUFFLE_OP_H_
#define CAFFE2_OPERATORS_CHANNEL_SHUFFLE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <typename T, class Context>
class ChannelShuffleOp final : public Operator<Context> {
public:
... | 1,902 | 26.57971 | 77 | h |
null | pytorch-main/caffe2/operators/channel_stats_op.h | #ifndef CAFFE2_OPERATORS_CHANNEL_STATS_OP_H_
#define CAFFE2_OPERATORS_CHANNEL_STATS_OP_H_
#include <string>
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <class Context>
class ChannelStatsOp final : public Operator<Context> {
public:
... | 1,807 | 28.639344 | 80 | h |
null | pytorch-main/caffe2/operators/clip_op.h | #ifndef CAFFE2_OPERATORS_CLIP_OP_H_
#define CAFFE2_OPERATORS_CLIP_OP_H_
#include <limits>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>
class ClipOp final : public Operator<Co... | 1,639 | 24.230769 | 79 | h |
null | pytorch-main/caffe2/operators/collect_and_distribute_fpn_rpn_proposals_op.h | #ifndef CAFFE2_OPERATORS_COLLECT_AND_DISTRIBUTE_FPN_RPN_PROPOSALS_OP_H_
#define CAFFE2_OPERATORS_COLLECT_AND_DISTRIBUTE_FPN_RPN_PROPOSALS_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/eigen_utils.h"
#include "caffe2/util... | 6,875 | 33.552764 | 87 | h |
null | pytorch-main/caffe2/operators/concat_split_op.h | #ifndef CAFFE2_OPERATORS_CONCAT_SPLIT_OP_H_
#define CAFFE2_OPERATORS_CONCAT_SPLIT_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/types.h"
#include "caffe2/utils/math.h"
#include "caffe2/utils/string_utils.h"
#include <c10/util/accumulate.h>
#include <c10/util/irange.h>
... | 12,369 | 29.84788 | 92 | h |
null | pytorch-main/caffe2/operators/conv_op.h | #ifndef CAFFE2_OPERATORS_CONV_OP_H_
#define CAFFE2_OPERATORS_CONV_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/conv_op_shared.h"
#include "caffe2/operators/conv_pool_op_base.h"
C10_DECLARE_bool(caffe2_force_shared_col_buffer);
namespace caffe2 {
template <typen... | 3,143 | 29.823529 | 79 | h |
null | pytorch-main/caffe2/operators/conv_op_cache_cudnn.h | #ifndef CAFFE2_OPERATORS_CONV_OP_CACHE_H_
#define CAFFE2_OPERATORS_CONV_OP_CACHE_H_
#include <functional>
#include <unordered_map>
#include <vector>
#include "caffe2/core/logging.h"
#include "caffe2/core/tensor.h"
namespace caffe2 {
template <typename TAlgorithm>
class AlgorithmsCache {
public:
// Caches the best... | 1,935 | 27.895522 | 78 | h |
null | pytorch-main/caffe2/operators/conv_op_shared.h | #ifndef CAFFE2_OPERATORS_CONV_OP_SHARED_H_
#define CAFFE2_OPERATORS_CONV_OP_SHARED_H_
#include "caffe2/core/context.h"
#include "caffe2/core/tensor.h"
#include "caffe2/core/workspace.h"
namespace caffe2 {
/**
* Creates a mutex and shared buffer in the workspace.
* Not thread-safe, must be called from the construct... | 672 | 24.884615 | 79 | h |
null | pytorch-main/caffe2/operators/conv_transpose_op.h | #ifndef CAFFE2_OPERATORS_CONV_TRANSPOSE_OP_H_
#define CAFFE2_OPERATORS_CONV_TRANSPOSE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/conv_transpose_unpool_op_base.h"
namespace caffe2 {
template <typename T, class Context>
class ConvTransposeOp final : public ConvT... | 1,727 | 28.793103 | 79 | h |
null | pytorch-main/caffe2/operators/conv_transpose_op_impl.h | // conv_transpose_op_impl.h is the templated implementation of the
// conv_transpose_op.h file.
#ifndef CAFFE2_OPERATORS_CONV_TRANSPOSE_OP_IMPL_H_
#define CAFFE2_OPERATORS_CONV_TRANSPOSE_OP_IMPL_H_
#include "caffe2/operators/conv_transpose_op.h"
#include <array>
#include <vector>
#include "caffe2/core/context.h"
#in... | 18,226 | 27.171561 | 79 | h |
null | pytorch-main/caffe2/operators/conv_transpose_op_mobile.h | #ifndef CAFFE2_OPERATORS_CONV_TRANSPOSE_MOBILE_OP_H_
#define CAFFE2_OPERATORS_CONV_TRANSPOSE_MOBILE_OP_H_
#include "caffe2/core/common.h"
#ifdef C10_MOBILE
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/conv_transpose_unpool_op_base.h"
namespace caffe2 {
template <typ... | 1,469 | 29.625 | 79 | h |
null | pytorch-main/caffe2/operators/conv_transpose_op_mobile_impl.h | // conv_transpose_op_impl.h is the templated implementation of the
// conv_transpose_op.h file.
#ifndef CAFFE2_OPERATORS_CONV_TRANSPOSE_MOBILE_OP_IMPL_H_
#define CAFFE2_OPERATORS_CONV_TRANSPOSE_MOBILE_OP_IMPL_H_
#include "caffe2/core/common.h"
#ifdef C10_MOBILE
#include "caffe2/core/logging.h"
#include "caffe2/opera... | 19,632 | 26.967236 | 79 | h |
null | pytorch-main/caffe2/operators/conv_transpose_unpool_op_base.h | #ifndef CAFFE2_OPERATORS_CONV_TRANSPOSE_UNPOOL_OP_BASE_H_
#define CAFFE2_OPERATORS_CONV_TRANSPOSE_UNPOOL_OP_BASE_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/conv_op_shared.h"
#include "caffe2/operators/conv_pool_op_base.h"
#include "... | 10,308 | 31.215625 | 79 | h |
null | pytorch-main/caffe2/operators/copy_op.h | #ifndef CAFFE2_OPERATORS_COPY_OP_H_
#define CAFFE2_OPERATORS_COPY_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/operator.h"
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(CopyGPUToCPU)
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(CopyCPUToGPU)
namespace caffe2 {
template ... | 1,296 | 28.477273 | 79 | h |
null | pytorch-main/caffe2/operators/copy_rows_to_tensor_op.h | // Copyright 2004-present Facebook. All Rights Reserved.
#pragma once
#include <unordered_map>
#include <unordered_set>
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/eigen_utils.h"
namespace caffe2 {
template <class Context>
class CopyRowsToTensorOp : public Operator<Conte... | 2,599 | 29.952381 | 76 | h |
null | pytorch-main/caffe2/operators/cosine_embedding_criterion_op.h | #ifndef CAFFE2_OPERATORS_COSINE_EMBEDDING_CRITERION_OP_H_
#define CAFFE2_OPERATORS_COSINE_EMBEDDING_CRITERION_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <class Context>
class CosineEmbeddingCriterionOp final : public Operator<... | 1,127 | 25.232558 | 75 | h |
null | pytorch-main/caffe2/operators/counter_ops.h | #ifndef CAFFE2_OPERATORS_COUNTER_OPS_H
#define CAFFE2_OPERATORS_COUNTER_OPS_H
#include <atomic>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <typename T>
class TORCH_API Counter {
public:
explicit Counter(T count) : count_(count) {... | 4,596 | 26.860606 | 79 | h |
null | pytorch-main/caffe2/operators/create_scope_op.h | #ifndef CAFFE2_OPERATORS_CREATE_SCOPE_OP_H_
#define CAFFE2_OPERATORS_CREATE_SCOPE_OP_H_
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <vector>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/proto/caffe2_pb.h"
C10_DEC... | 5,232 | 28.234637 | 80 | h |
null | pytorch-main/caffe2/operators/cross_entropy_op.h | #ifndef CAFFE2_OPERATORS_CROSS_ENTROPY_OP_H_
#define CAFFE2_OPERATORS_CROSS_ENTROPY_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>
class LabelCrossEntropyOp final : public... | 4,420 | 26.63125 | 83 | h |
null | pytorch-main/caffe2/operators/ctc_beam_search_decoder_op.h | #ifndef CAFFE2_OPERATORS_CTC_BEAM_SEARCH_OP_H_
#define CAFFE2_OPERATORS_CTC_BEAM_SEARCH_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <class Context>
class CTCBeamSearchDecoderOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template ... | 1,102 | 28.026316 | 78 | h |
null | pytorch-main/caffe2/operators/ctc_greedy_decoder_op.h | #ifndef CAFFE2_OPERATORS_CTC_GREEDY_DECODER_OP_H_
#define CAFFE2_OPERATORS_CTC_GREEDY_DECODER_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <class Context>
class CTCGreedyDecoderOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
templat... | 817 | 24.5625 | 71 | h |
null | pytorch-main/caffe2/operators/dataset_ops.h | #ifndef CAFFE2_OPERATORS_DATASET_OPS_H_
#define CAFFE2_OPERATORS_DATASET_OPS_H_
#include <memory>
#include <mutex>
#include <string>
#include <vector>
#include "caffe2/core/blob.h"
#include "caffe2/core/blob_serialization.h"
#include "caffe2/core/tensor.h"
namespace caffe2 {
namespace dataset_ops {
// used for lengt... | 5,500 | 24.118721 | 80 | h |
null | pytorch-main/caffe2/operators/deform_conv_op.h | #ifndef CAFFE2_OPERATORS_DEFORM_CONV_OP_H_
#define CAFFE2_OPERATORS_DEFORM_CONV_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/conv_op_shared.h"
#include "caffe2/operators/conv_pool_op_base.h"
C10_DECLARE_bool(caffe2_force_shared_col_buffer);
namespace caffe2 {
t... | 3,543 | 30.362832 | 79 | h |
null | pytorch-main/caffe2/operators/deform_conv_op_impl.h | // conv_op_impl.h is the templated implementation of the conv_op.h file.
#ifndef CAFFE2_OPERATORS_DEFORM_CONV_OP_IMPL_H_
#define CAFFE2_OPERATORS_DEFORM_CONV_OP_IMPL_H_
#include "caffe2/core/context.h"
#include "caffe2/core/flags.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/op... | 13,323 | 30.498818 | 83 | h |
null | pytorch-main/caffe2/operators/dense_vector_to_id_list_op.h | #ifndef CAFFE2_OPERATORS_DENSE_VECTOR_TO_ID_LIST_OP_H_
#define CAFFE2_OPERATORS_DENSE_VECTOR_TO_ID_LIST_OP_H_
#include <set>
#include <vector>
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "c10/util/irange.h"
namespace caffe2 {
template <class Context>
class DenseVectorToIdListOp : publ... | 1,841 | 26.492537 | 75 | h |
null | pytorch-main/caffe2/operators/distance_op.h | #ifndef CAFFE2_OPERATORS_DISTANCE_OP_H_
#define CAFFE2_OPERATORS_DISTANCE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
#include "c10/util/irange.h"
namespace caffe2 {
template <typename T, class Context>
class SquaredL2DistanceOp : public Operator<Context> {... | 8,472 | 27.432886 | 80 | h |
null | pytorch-main/caffe2/operators/do_op.h | #ifndef CAFFE2_OPERATORS_DO_OP_H_
#define CAFFE2_OPERATORS_DO_OP_H_
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <vector>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/create_scope_op.h"
#include "caffe2/p... | 7,007 | 36.677419 | 80 | h |
null | pytorch-main/caffe2/operators/dropout_op.h | #ifndef CAFFE2_OPERATORS_DROPOUT_OP_H_
#define CAFFE2_OPERATORS_DROPOUT_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>
class DropoutOp final : public Operator<Context> {
... | 1,450 | 24.910714 | 77 | h |
null | pytorch-main/caffe2/operators/elementwise_add_op.h | #ifndef CAFFE2_OPERATORS_ELEMENTWISE_ADD_OP_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_ADD_OP_H_
#include <algorithm>
#include <functional>
#include <vector>
#include "caffe2/operators/elementwise_ops.h"
#include "caffe2/operators/elementwise_ops_utils.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <cla... | 1,820 | 22.050633 | 65 | h |
null | pytorch-main/caffe2/operators/elementwise_div_op.h | #ifndef CAFFE2_OPERATORS_ELEMENTWISE_DIV_OP_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_DIV_OP_H_
#include <vector>
#include "caffe2/operators/elementwise_ops.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <class Context>
struct DivFunctor {
template <typename TIn, typename TOut>
bool Forward(
... | 1,062 | 20.693878 | 56 | h |
null | pytorch-main/caffe2/operators/elementwise_linear_op.h | #ifndef CAFFE2_OPERATORS_ELEMENTWISE_LINEAR_OP_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_LINEAR_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context, class Engine = DefaultEngine>
class ElementwiseLinearOp final : ... | 1,170 | 26.880952 | 68 | h |
null | pytorch-main/caffe2/operators/elementwise_logical_ops.h | #ifndef CAFFE2_OPERATORS_ELEMENTWISE_LOGICAL_OPS_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_LOGICAL_OPS_H_
#include "caffe2/core/common_omp.h"
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/elementwise_ops.h"
#include <unordered_set>
namesp... | 5,108 | 28.194286 | 80 | h |
null | pytorch-main/caffe2/operators/elementwise_mul_op.h | #ifndef CAFFE2_OPERATORS_ELEMENTWISE_MUL_OP_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_MUL_OP_H_
#include <vector>
#include "caffe2/operators/elementwise_ops.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <class Context>
struct MulFunctor {
template <typename TIn, typename TOut>
bool Forward(
... | 1,062 | 20.693878 | 56 | h |
null | pytorch-main/caffe2/operators/elementwise_op_test.h | #ifndef CAFFE2_OPERATORS_ELEMENTWISE_OP_TEST_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_OP_TEST_H_
#include "caffe2/operators/elementwise_ops.h"
#include <iostream>
#include <string>
#include <vector>
#include <gtest/gtest.h>
template <typename Context, typename T>
void CopyVector(const int N, const T* x, T* y);
temp... | 9,287 | 33.786517 | 80 | h |
null | pytorch-main/caffe2/operators/elementwise_ops.h | #ifndef CAFFE2_OPERATORS_ELEMENTWISE_OPS_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_OPS_H_
#include <iterator>
#include <string>
#include <tuple>
#include <vector>
#include "caffe2/core/common_omp.h"
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/core... | 19,237 | 30.383361 | 81 | h |
null | pytorch-main/caffe2/operators/elementwise_ops_utils.h | #ifndef CAFFE2_OPERATORS_ELEMENTWISE_OPS_UTILS_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_OPS_UTILS_H_
#include <tuple>
#include <vector>
#include "caffe2/core/context.h"
#include "caffe2/core/tensor.h"
namespace caffe2 {
namespace elementwise_ops_utils {
TORCH_API std::tuple<size_t, size_t, size_t>
ComputeLegacyBroad... | 1,008 | 27.027778 | 72 | h |
null | pytorch-main/caffe2/operators/elementwise_sub_op.h | #ifndef CAFFE2_OPERATORS_ELEMENTWISE_SUB_OP_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_SUB_OP_H_
#include <algorithm>
#include <functional>
#include <vector>
#include "caffe2/operators/elementwise_ops.h"
#include "caffe2/operators/elementwise_ops_utils.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <cla... | 1,821 | 22.063291 | 65 | h |
null | pytorch-main/caffe2/operators/elu_op.h | #ifndef CAFFE2_OPERATORS_ELU_OP_H_
#define CAFFE2_OPERATORS_ELU_OP_H_
#include <vector>
#include "caffe2/operators/elementwise_ops.h"
namespace caffe2 {
template <class Context>
struct EluFunctor {
explicit EluFunctor(OperatorBase& op)
: alpha(op.GetSingleArgument<float>("alpha", 1.0f)) {}
template <type... | 875 | 20.365854 | 73 | h |
null | pytorch-main/caffe2/operators/enforce_finite_op.h | #ifndef CAFFE_OPERATORS_ENFORCE_FINITE_OP_H_
#define CAFFE_OPERATORS_ENFORCE_FINITE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
#include "c10/util/irange.h"
namespace caffe2 {
template <class Context>
class EnforceFiniteOp f... | 2,339 | 29.789474 | 96 | h |
null | pytorch-main/caffe2/operators/ensure_clipped_op.h | #pragma once
#include "caffe2/core/operator.h"
#include "caffe2/utils/eigen_utils.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>
class EnsureClippedOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit Ensure... | 1,608 | 26.741379 | 79 | h |
null | pytorch-main/caffe2/operators/ensure_cpu_output_op.h | #ifndef CAFFE2_OPERATORS_ENSURE_CPU_OUTPUT_OP_H_
#define CAFFE2_OPERATORS_ENSURE_CPU_OUTPUT_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <class Context>
class EnsureCPUOutputOp : public Operator<Context> {
public:
USE_OPERATOR_... | 1,465 | 26.660377 | 71 | h |
null | pytorch-main/caffe2/operators/expand_op.h | #ifndef CAFFE2_OPERATORS_EXPAND_OP_H_
#define CAFFE2_OPERATORS_EXPAND_OP_H_
#include <vector>
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/types.h"
#include "caffe2/utils/math.h"
#include "c10/util/irange.h"
namespace caffe2 {
template <typename InputTypes, class Context>... | 3,914 | 30.071429 | 92 | h |
null | pytorch-main/caffe2/operators/expand_squeeze_dims_op.h | #ifndef CAFFE2_OPERATORS_EXPAND_SQUEEZE_DIMS_OP_H_
#define CAFFE2_OPERATORS_EXPAND_SQUEEZE_DIMS_OP_H_
#include <c10/util/irange.h>
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <class Context>
class ExpandDimsOp : public Operator<Context> {
public:
USE_OPERATOR_CON... | 3,430 | 27.122951 | 77 | h |
null | pytorch-main/caffe2/operators/fc_inference.h | #pragma once
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/conversions.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
std::vector<TensorShape> FCShapeInference(
const OperatorDef& def,
const std::vector<TensorShape>& in,
bool pretransposed_weight);
OpSchem... | 775 | 25.758621 | 50 | h |
null | pytorch-main/caffe2/operators/feed_blob_op.h | #ifndef CAFFE2_OPERATORS_FEED_BLOB_OP_H_
#define CAFFE2_OPERATORS_FEED_BLOB_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <class Context>
class FeedBlobOp : public Operator<Context> {
public:
template <class... Args>
explicit FeedBlobOp(Args&&... args)
... | 802 | 21.942857 | 67 | h |
null | pytorch-main/caffe2/operators/filler_op.h | #ifndef CAFFE2_OPERATORS_FILLER_OP_H_
#define CAFFE2_OPERATORS_FILLER_OP_H_
#include <c10/util/irange.h>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
// FillerOp takes in either zero or one input.
//
// If the nu... | 18,475 | 30.582906 | 80 | h |
null | pytorch-main/caffe2/operators/find_duplicate_elements_op.h | #ifndef CAFFE2_OPERATORS_FIND_DUPLICATE_ELEMENTS_OP_H
#define CAFFE2_OPERATORS_FIND_DUPLICATE_ELEMENTS_OP_H
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor.h"
#include "c10/util/irange.h"
#include <unordered_map>
#include <vector>
namespace caffe2 {
template <class Co... | 1,597 | 26.084746 | 79 | h |
null | pytorch-main/caffe2/operators/find_op.h | #ifndef CAFFE2_OPERATORS_FIND_OP_H_
#define CAFFE2_OPERATORS_FIND_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "c10/util/irange.h"
#include <unordered_map>
namespace caffe2 {
template <class Context>
class FindOp final : public Operator<Context> ... | 2,117 | 25.475 | 74 | h |
null | pytorch-main/caffe2/operators/flatten_op.h | #ifndef CAFFE2_OPERATORS_FLATTEN_OP_H_
#define CAFFE2_OPERATORS_FLATTEN_OP_H_
#include "caffe2/core/operator.h"
namespace caffe2 {
template <class Context>
class FlattenOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit FlattenOp(Args&&... args)
: ... | 1,525 | 23.612903 | 73 | h |
null | pytorch-main/caffe2/operators/flexible_top_k.h | // Copyright 2004-present Facebook. All Rights Reserved.
#ifndef CAFFE2_OPERATORS_FLEXIBLE_TOP_K_H_
#define CAFFE2_OPERATORS_FLEXIBLE_TOP_K_H_
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>
class FlexibleTopKO... | 936 | 23.025641 | 57 | h |
null | pytorch-main/caffe2/operators/floor_op.h | #ifndef CAFFE2_OPERATORS_FLOOR_OP_H_
#define CAFFE2_OPERATORS_FLOOR_OP_H_
#include "caffe2/core/common_omp.h"
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "c10/util/irange.h"
namespace caffe2 {
template <typename T, class Context>
class FloorOp final : ... | 825 | 22.6 | 55 | h |
null | pytorch-main/caffe2/operators/free_op.h | #ifndef CAFFE2_OPERATORS_FREE_OP_H_
#define CAFFE2_OPERATORS_FREE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
// FreeOp frees the content of the output blob. We allow it to take in input
// blobs purely for the reason that it can "wait" on the input blobs to be
// prod... | 777 | 24.933333 | 76 | h |
null | pytorch-main/caffe2/operators/fully_connected_op.h | #ifndef CAFFE2_OPERATORS_FULLY_CONNECTED_OP_H_
#define CAFFE2_OPERATORS_FULLY_CONNECTED_OP_H_
#include <c10/util/Optional.h>
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/conversions.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
// This is Caffe's InnerProductOp, wi... | 9,375 | 26.904762 | 80 | h |
null | pytorch-main/caffe2/operators/fused_rowwise_8bit_conversion_ops.h | #ifndef CAFFE2_OPERATORS_FUSED_ROWWISE_8BIT_CONVERSION_OPS_H_
#define CAFFE2_OPERATORS_FUSED_ROWWISE_8BIT_CONVERSION_OPS_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include <c10/util/irange.h>
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/... | 6,504 | 32.880208 | 80 | h |
null | pytorch-main/caffe2/operators/fused_rowwise_nbit_conversion_ops.h | #pragma once
#include <algorithm>
#include <vector>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
// for param_search_greedy
#include "caffe2/operators/fused_rowwise_nbitfake_conversion_ops.h"
#include "caffe2/perfkernels/fu... | 8,580 | 35.67094 | 80 | h |
null | pytorch-main/caffe2/operators/fused_rowwise_nbitfake_conversion_ops.h | #pragma once
#ifdef _OPENMP
#include <omp.h>
#endif
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/reducer_functors.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
namespace internal {
inline bool is_little_endian() {
constexpr s... | 4,346 | 30.05 | 80 | h |
null | pytorch-main/caffe2/operators/fused_rowwise_random_quantization_ops.h | #ifndef CAFFE2_OPERATORS_FUSED_ROWWISE_RAND_CONVERSION_OPS_H_
#define CAFFE2_OPERATORS_FUSED_ROWWISE_RAND_CONVERSION_OPS_H_
#include <chrono>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/reducer_functors.h"
#include "caffe2/perfkernels/... | 2,616 | 26.840426 | 77 | h |
null | pytorch-main/caffe2/operators/gather_fused_8bit_rowwise_op.h | #pragma once
#include "caffe2/core/operator.h"
#include "caffe2/utils/eigen_utils.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <class Context>
class GatherFused8BitRowwiseOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
USE_SIMPLE_CTOR_DTOR(GatherFused8BitRowwiseOp);
b... | 2,156 | 32.184615 | 77 | h |
null | pytorch-main/caffe2/operators/gather_op.h | #ifndef GATHER_OP_H_
#define GATHER_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include <c10/util/irange.h>
namespace caffe2 {
// This maintains index-mapping functions shared by Gather and BatchGather ops.
namespace gather_helper {
// New shape is concatenation:
// [data dims before ... | 7,561 | 33.372727 | 80 | h |
null | pytorch-main/caffe2/operators/gather_ranges_to_dense_op.h | #ifndef CAFFE2_OPERATORS_GATHER_RANGES_TO_DENSE_OPS_H_
#define CAFFE2_OPERATORS_GATHER_RANGES_TO_DENSE_OPS_H_
#include <math.h>
#include "caffe2/core/common_omp.h"
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include <c10/util/irange.h>
#include "caffe2/core/logging.h"
#include "... | 8,423 | 34.1 | 83 | h |
null | pytorch-main/caffe2/operators/gelu_op.h | #ifndef CAFFE2_OPERATORS_GELU_OP_H_
#define CAFFE2_OPERATORS_GELU_OP_H_
#include "caffe2/core/common.h"
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/elementwise_ops.h"
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(Gelu);
namespac... | 1,452 | 22.063492 | 73 | h |
null | pytorch-main/caffe2/operators/generate_proposals_op.h | #ifndef CAFFE2_OPERATORS_GENERATE_PROPOSALS_OP_H_
#define CAFFE2_OPERATORS_GENERATE_PROPOSALS_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/eigen_utils.h"
#include "caffe2/utils/math.h"
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C... | 6,271 | 33.651934 | 80 | h |
null | pytorch-main/caffe2/operators/generate_proposals_op_util_boxes.h | #ifndef CAFFE2_OPERATORS_UTILS_BOXES_H_
#define CAFFE2_OPERATORS_UTILS_BOXES_H_
#include "caffe2/utils/eigen_utils.h"
#include <c10/util/irange.h>
// Bounding box utils for generate_proposals_op
// Reference: facebookresearch/Detectron/detectron/utils/boxes.py
namespace caffe2 {
namespace utils {
// Default value ... | 14,288 | 34.90201 | 80 | h |
null | pytorch-main/caffe2/operators/generate_proposals_op_util_nms_gpu.h | #ifndef CAFFE2_OPERATORS_UTILS_NMS_GPU_H_
#define CAFFE2_OPERATORS_UTILS_NMS_GPU_H_
#include <vector>
#include "caffe2/core/context_gpu.h"
namespace caffe2 {
namespace utils {
// Computes Non-Maximum Suppression on the GPU
// Reject a bounding box if its region has an intersection-overunion (IoU)
// overlap with... | 2,128 | 28.985915 | 80 | h |
null | pytorch-main/caffe2/operators/given_tensor_byte_string_to_uint8_fill_op.h | #pragma once
#include <c10/util/irange.h>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/filler_op.h"
#include "caffe2/utils/cast.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <class Context>
class GivenTensorByteStringTo... | 2,146 | 28.819444 | 78 | h |
null | pytorch-main/caffe2/operators/given_tensor_fill_op.h | #pragma once
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/filler_op.h"
#include "caffe2/utils/cast.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>
class GivenTensorFillOp final : public FillerO... | 3,010 | 31.376344 | 77 | h |
null | pytorch-main/caffe2/operators/glu_op.h | #ifndef CAFFE2_OPERATOR_GLU_OP_H_
#define CAFFE2_OPERATOR_GLU_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <typename T, class Context>
class GluOp final : public Operator<Context> {
public:
template <class... Args>
explicit GluOp(Args&&... args)
: Ope... | 1,467 | 24.754386 | 68 | h |
null | pytorch-main/caffe2/operators/group_norm_op.h | #ifndef CAFFE2_OPERATORS_GROUP_NORM_OP_H_
#define CAFFE2_OPERATORS_GROUP_NORM_OP_H_
#include <array>
#include <string>
#include <vector>
#include "caffe2/core/common.h"
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Co... | 8,967 | 27.290221 | 80 | h |
null | pytorch-main/caffe2/operators/gru_unit_op.h | #ifndef CAFFE2_OPERATORS_GRU_UNIT_OP_H_
#define CAFFE2_OPERATORS_GRU_UNIT_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
#include <c10/util/irange.h>
namespace caffe2 {
namespace detail {
template <typename T>
inline T sigmoid(T x) {
return 1.0f / (1.0f + ex... | 6,687 | 26.636364 | 80 | h |
null | pytorch-main/caffe2/operators/h_softmax_op.h | #ifndef CAFFE2_OPERATORS_H_SOFTMAX_OP_H_
#define CAFFE2_OPERATORS_H_SOFTMAX_OP_H_
#include <c10/util/Optional.h>
#include <c10/util/irange.h>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/proto/hsm.pb.h"
#include "caffe2/utils/math.h"
namespace ca... | 4,983 | 26.688889 | 80 | h |
null | pytorch-main/caffe2/operators/half_float_ops.h | #ifndef CAFFE2_OPERATORS_HALF_FLOAT_OPS_H_
#define CAFFE2_OPERATORS_HALF_FLOAT_OPS_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <class Context>
class FloatToHalfOp : public Operator<Context> {
public:
explicit FloatToHalfOp(const OperatorDef& operator_def, Work... | 2,734 | 26.35 | 77 | h |
null | pytorch-main/caffe2/operators/hard_sigmoid_op.h | #ifndef CAFFE2_OPERATORS_HARD_SIGMOID_H_
#define CAFFE2_OPERATORS_HARD_SIGMOID_H_
#include <vector>
#include "caffe2/operators/elementwise_ops.h"
namespace caffe2 {
template <class Context>
struct HardSigmoidFunctor {
explicit HardSigmoidFunctor(OperatorBase& op)
: alpha(op.GetSingleArgument<float>("alpha",... | 994 | 22.690476 | 73 | h |
null | pytorch-main/caffe2/operators/heatmap_max_keypoint_op.h | // Copyright 2004-present Facebook. All Rights Reserved.
#ifndef HEATMAP_MAX_KEYPOINT_OP_H_
#define HEATMAP_MAX_KEYPOINT_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
C10_DECLAR... | 939 | 25.111111 | 70 | h |
null | pytorch-main/caffe2/operators/histogram_op.h | #pragma once
#include "caffe2/core/operator.h"
#include "c10/util/irange.h"
#include <cmath>
#include <limits>
namespace caffe2 {
template <class Context>
class HistogramOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit HistogramOp(Args&&... args)... | 2,455 | 27.229885 | 76 | h |
null | pytorch-main/caffe2/operators/if_op.h | #ifndef CAFFE2_OPERATORS_IF_OP_H_
#define CAFFE2_OPERATORS_IF_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <class Context>
class IfOp final : public Operator<Context> {
public:
explicit IfOp(const OperatorDef& operator_def, W... | 1,764 | 27.467742 | 74 | h |
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