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[Large Tensor] Add LT support for NN optimizers and 1 activation function #17444

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Feb 10, 2020
Merged

[Large Tensor] Add LT support for NN optimizers and 1 activation function #17444

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a16b42e
fix hard sigmoid
ChaiBapchya Jan 22, 2020
93cc06e
change int i to index_t i for all Kernel Map functions
ChaiBapchya Jan 27, 2020
0918e95
fix lint
ChaiBapchya Jan 30, 2020
887070a
size t indext fix
ChaiBapchya Feb 3, 2020
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77 changes: 40 additions & 37 deletions src/operator/optimizer_op-inl.h
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Original file line number Diff line number Diff line change
Expand Up @@ -225,7 +225,7 @@ struct MultiSGDKernelParam {
template <typename MPDType, bool has_momentum, bool has_mixed_precision>
struct MultiSGDKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, const MultiSGDKernelParam<DType, MPDType>& param,
MSHADOW_XINLINE static void Map(index_t i, const MultiSGDKernelParam<DType, MPDType>& param,
const OpReqType req) {
for (int index = 0; index < param.count; ++index) {
if ((size_t)i < param.sizes[index]) {
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Expand Down Expand Up @@ -381,7 +381,7 @@ inline void MultiSGDMomUpdate(const nnvm::NodeAttrs& attrs,

struct SGDKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data, const DType* weight_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data, const DType* weight_data,
const DType* grad_data, const DType param_clip_gradient,
const DType param_lr, const DType param_wd, const DType param_rescale_grad,
const OpReqType req) {
Expand Down Expand Up @@ -429,9 +429,9 @@ struct SGDDnsRspKernel<req, gpu> {
// IType is row sparse idx type
// i is the ith element in row sparse gradient
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, const index_t row_length, DType* out, const DType* weight,
const IType* grad_idx, const DType *grad_val,
const DType clip_gradient, const DType lr,
MSHADOW_XINLINE static void Map(index_t i, const index_t row_length, DType* out,
const DType* weight, const IType* grad_idx,
const DType *grad_val, const DType clip_gradient, const DType lr,
const DType wd, const DType rescale_grad) {
using nnvm::dim_t;
using namespace mshadow_op;
Expand All @@ -457,9 +457,9 @@ struct SGDDnsRspKernel<req, cpu> {
// IType is row sparse idx type
// i is the ith row in row sparse gradient
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, const index_t row_length, DType* out, const DType* weight,
const IType* grad_idx, const DType *grad_val,
const DType clip_gradient, const DType lr,
MSHADOW_XINLINE static void Map(index_t i, const index_t row_length, DType* out,
const DType* weight, const IType* grad_idx,
const DType *grad_val, const DType clip_gradient, const DType lr,
const DType wd, const DType rescale_grad) {
for (index_t j = 0; j < row_length; j++) {
index_t data_i = grad_idx[i] * row_length + j;
Expand Down Expand Up @@ -600,10 +600,11 @@ struct SGDMomParam : public dmlc::Parameter<SGDMomParam> {

struct SGDMomKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data, DType* mom_data, const DType* weight_data,
const DType* grad_data, const DType param_clip_gradient, const DType param_momentum,
const DType param_lr, const DType param_wd, const DType param_rescale_grad,
const OpReqType req) {
MSHADOW_XINLINE static void Map(index_t i, DType* out_data, DType* mom_data,
const DType* weight_data, const DType* grad_data,
const DType param_clip_gradient, const DType param_momentum,
const DType param_lr, const DType param_wd,
const DType param_rescale_grad, const OpReqType req) {
if (param_clip_gradient >= 0.0f) {
mom_data[i] = param_momentum*mom_data[i]
- param_lr*param_wd*weight_data[i]
Expand Down Expand Up @@ -654,7 +655,7 @@ inline bool MP_InferType(const nnvm::NodeAttrs& attrs,

struct MP_SGDKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data, const DType* weight_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data, const DType* weight_data,
const DType* grad_data, float* weight32, const float param_clip_gradient,
const float param_lr, const float param_wd, const float param_rescale_grad,
const OpReqType req) {
Expand Down Expand Up @@ -698,7 +699,7 @@ inline void MP_SGDUpdate(const nnvm::NodeAttrs& attrs,

struct MP_SGDMomKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data, float* mom_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data, float* mom_data,
const DType* weight_data, const DType* grad_data, float* weight32,
const float param_clip_gradient, const float param_momentum, const float param_lr,
const float param_wd, const float param_rescale_grad, const OpReqType req) {
Expand Down Expand Up @@ -749,7 +750,7 @@ struct SGDMomDnsRspDnsKernel;
template<int req>
struct SGDMomDnsRspDnsKernel<req, cpu> {
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, index_t row_length, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, index_t row_length, DType* out_data,
DType* mom_data, const DType* weight_data, const IType* grad_idx,
const DType* grad_data, const DType clip_gradient, const DType momentum,
const DType lr, const DType wd, const DType rescale_grad) {
Expand All @@ -776,7 +777,7 @@ struct SGDMomDnsRspDnsKernel<req, cpu> {
template<int req>
struct SGDMomDnsRspDnsKernel<req, gpu> {
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, index_t row_length, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, index_t row_length, DType* out_data,
DType* mom_data, const DType* weight_data, const IType* grad_idx,
const DType* grad_data, const DType clip_gradient, const DType momentum,
const DType lr, const DType wd, const DType rescale_grad) {
Expand Down Expand Up @@ -1060,7 +1061,7 @@ struct NAGMomParam : public dmlc::Parameter<NAGMomParam> {

struct NAGMomKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data, DType* mom_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data, DType* mom_data,
const DType* weight_data, const DType* grad_data,
const DType param_clip_gradient, const DType param_momentum,
const DType param_lr, const DType param_wd,
Expand Down Expand Up @@ -1107,7 +1108,7 @@ inline void NAGMomUpdate(const nnvm::NodeAttrs& attrs,

struct MP_NAGMomKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data,
float* mom_data, const DType* weight_data,
const DType* grad_data, float* weight32,
const float param_clip_gradient,
Expand Down Expand Up @@ -1204,7 +1205,7 @@ struct FTMLParam : public dmlc::Parameter<FTMLParam> {

struct FTMLKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out, DType* weight, DType* grad,
MSHADOW_XINLINE static void Map(index_t i, DType* out, DType* weight, DType* grad,
DType* d, DType* v, DType* z, const DType lr, const DType beta1,
const DType beta2, const DType epsilon, const DType t,
const DType wd, const DType rescale_grad, const DType clip_grad,
Expand Down Expand Up @@ -1291,7 +1292,7 @@ struct AdamParam : public dmlc::Parameter<AdamParam> {

struct AdamUpdateKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data,
DType* mean_data, DType* var_data, const DType* weight_data, const DType* grad_data,
const DType clip_gradient, const DType rescale_grad,
const DType beta1, const DType beta2,
Expand Down Expand Up @@ -1350,7 +1351,7 @@ struct AdamDnsRspDnsKernel;
template<int req>
struct AdamDnsRspDnsKernel<req, cpu> {
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, const nnvm::dim_t row_length, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, const nnvm::dim_t row_length, DType* out_data,
DType* mean_data, DType* var_data, const DType* weight_data, const IType* grad_idx,
const DType* grad_data, const DType clip_gradient, const DType beta1, const DType beta2,
const DType lr, const DType wd, const DType epsilon, const DType rescale_grad) {
Expand Down Expand Up @@ -1383,7 +1384,7 @@ struct AdamDnsRspDnsKernel<req, cpu> {
template<int req>
struct AdamDnsRspDnsKernel<req, gpu> {
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, const nnvm::dim_t row_length, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, const nnvm::dim_t row_length, DType* out_data,
DType* mean_data, DType* var_data, const DType* weight_data, const IType* grad_idx,
const DType* grad_data, const DType clip_gradient, const DType beta1, const DType beta2,
const DType lr, const DType wd, const DType epsilon, const DType rescale_grad) {
Expand Down Expand Up @@ -1620,7 +1621,7 @@ struct LambUpdatePhaseTwoParam : public dmlc::Parameter<LambUpdatePhaseTwoParam>

struct LambUpdatePhaseOneKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data,
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DType* mean_data, DType* var_data, const DType* weight_data, const DType* grad_data,
const DType clip_gradient, const DType rescale_grad,
const DType beta1, const DType beta1_t, const DType beta2, const DType beta2_t,
Expand Down Expand Up @@ -1704,7 +1705,7 @@ inline bool LambUpdatePhaseTwoShape(const nnvm::NodeAttrs& attrs,

struct LambUpdatePhaseTwoKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data,
const DType* weight_data, const DType* g,
const DType* r1, const DType* r2,
DType lr, const DType lower_bound,
Expand Down Expand Up @@ -1771,7 +1772,7 @@ inline bool MPLambPhaseOneType(const nnvm::NodeAttrs& attrs,

struct MPLambUpdatePhaseOneKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, float* out_data,
MSHADOW_XINLINE static void Map(index_t i, float* out_data,
float* mean_data, float* var_data, const DType* weight_data,
const DType* grad_data, const float* weight32_data,
const float clip_gradient, const float rescale_grad,
Expand Down Expand Up @@ -1861,7 +1862,7 @@ inline bool MPLambUpdatePhaseTwoShape(const nnvm::NodeAttrs& attrs,

struct MPLambUpdatePhaseTwoKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data,
const DType* weight_data, const float* g,
const float* r1, const float* r2, const float* weight32_data,
float lr, const float lower_bound,
Expand Down Expand Up @@ -1952,7 +1953,7 @@ struct RMSPropAlexParam : public dmlc::Parameter<RMSPropAlexParam> {

struct RMSPropAlexUpdateKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data,
DType* state_n_data, DType* state_g_data, DType* delta_data,
const DType* weight_data, const DType* grad_data,
const DType clip_gradient, const DType rescale_grad,
Expand Down Expand Up @@ -2051,7 +2052,7 @@ struct RMSPropParam : public dmlc::Parameter<RMSPropParam> {

struct RMSPropUpdateKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i,
MSHADOW_XINLINE static void Map(index_t i,
DType* out_data, DType* state_n_data,
const DType* weight_data, const DType* grad_data,
const DType clip_gradient, const DType rescale_grad,
Expand Down Expand Up @@ -2132,7 +2133,7 @@ struct FtrlParam : public dmlc::Parameter<FtrlParam> {

struct FtrlUpdateKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data,
DType* n_data, DType* z_data, const DType* weight_data, const DType* grad_data,
const DType clip_gradient, const DType rescale_grad,
const DType beta, const DType lamda1,
Expand Down Expand Up @@ -2185,7 +2186,7 @@ inline void FtrlUpdate(const nnvm::NodeAttrs& attrs,
template<int req>
struct FtrlDnsRspDnsKernel {
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, const nnvm::dim_t row_length, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, const nnvm::dim_t row_length, DType* out_data,
DType* z_data, DType* n_data, const DType* weight_data, const IType* grad_idx,
const DType* grad_data, const DType clip_gradient, const DType lamda1, const DType beta,
const DType lr, const DType wd, const DType rescale_grad) {
Expand Down Expand Up @@ -2343,7 +2344,7 @@ struct SignSGDParam : public dmlc::Parameter<SignSGDParam> {

struct SignSGDKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data, const DType* weight_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data, const DType* weight_data,
const DType* grad_data, const DType param_clip_gradient,
const DType param_lr, const DType param_wd, const DType param_rescale_grad,
const OpReqType req) {
Expand Down Expand Up @@ -2411,10 +2412,12 @@ struct SignumParam : public dmlc::Parameter<SignumParam> {

struct SignumKernel {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data, DType* mom_data, const DType* weight_data,
const DType* grad_data, const DType param_clip_gradient, const DType param_momentum,
const DType param_lr, const DType param_wd, const DType param_rescale_grad,
const DType param_wd_lh, const OpReqType req) {
MSHADOW_XINLINE static void Map(index_t i, DType* out_data, DType* mom_data,
const DType* weight_data, const DType* grad_data,
const DType param_clip_gradient, const DType param_momentum,
const DType param_lr, const DType param_wd,
const DType param_rescale_grad, const DType param_wd_lh,
const OpReqType req) {
if (param_clip_gradient >= 0.0f) {
mom_data[i] = param_momentum*mom_data[i]
- (1-param_momentum)*param_wd*weight_data[i]
Expand Down Expand Up @@ -2506,7 +2509,7 @@ struct AdagradDnsRspDnsKernel;
template<>
struct AdagradDnsRspDnsKernel<cpu> {
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, index_t row_length, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, index_t row_length, DType* out_data,
DType* state_data, const DType* weight_data, const IType* grad_idx,
const DType* grad_data, const DType clip_gradient, const DType epsilon,
const DType lr, const DType rescale_grad) {
Expand All @@ -2533,7 +2536,7 @@ struct AdagradDnsRspDnsKernel<cpu> {
template<>
struct AdagradDnsRspDnsKernel<gpu> {
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, index_t row_length, DType* out_data,
MSHADOW_XINLINE static void Map(index_t i, index_t row_length, DType* out_data,
DType* state_data, const DType* weight_data, const IType* grad_idx,
const DType* grad_data, const DType clip_gradient, const DType epsilon,
const DType lr, const DType rescale_grad) {
Expand Down
4 changes: 2 additions & 2 deletions src/operator/tensor/elemwise_unary_op.h
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Original file line number Diff line number Diff line change
Expand Up @@ -495,7 +495,7 @@ struct HardSigmoidParam : public dmlc::Parameter<HardSigmoidParam> {
template<int req>
struct hard_sigmoid_forward {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out_data, const DType* in_data,
MSHADOW_XINLINE static void Map(index_t i, DType* out_data, const DType* in_data,
const real_t alpha, const real_t beta) {
DType result = DType(alpha * in_data[i] + beta);
result = (DType(1) < result) ? DType(1) : result;
Expand All @@ -507,7 +507,7 @@ struct hard_sigmoid_forward {
template<int req>
struct hard_sigmoid_backward {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* in_grad, const DType* in_data,
MSHADOW_XINLINE static void Map(index_t i, DType* in_grad, const DType* in_data,
const DType* out_grad, const real_t alpha, const real_t beta) {
DType out_val = DType(alpha) * in_data[i] + DType(beta);
DType grad = (out_val > DType(0) && out_val < DType(1)) ?
Expand Down