apeforest commented on a change in pull request #15169: Softmax with length
URL: https://github.com/apache/incubator-mxnet/pull/15169#discussion_r303667786
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File path: src/operator/nn/softmax-inl.h
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@@ -464,35 +755,56 @@ void SoftmaxGradCompute(const nnvm::NodeAttrs& attrs,
mxnet::TShape shape = AxisShapeCompact(inputs[0].shape_, &axis, true);
int out_idx = softmax_has_dtype_override(attrs) ? 2 : 1;
+ out_idx = softmax_use_length(attrs) ? 3 : out_idx;
bool safe_acc = dmlc::GetEnv("MXNET_SAFE_ACCUMULATION", false);
MXNET_REAL_ACC_TYPE_SWITCH(inputs[0].type_flag_, OType, AType, {
MSHADOW_REAL_TYPE_SWITCH(outputs[0].type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
- if (safe_acc) {
- if (shape.ndim() == 2) {
- SoftmaxGrad<OP1, OP2, Req, negate, AType>(
- ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
- inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
- shape.get<2>(), axis, static_cast<DType>(temperature));
+ if (!softmax_use_length(attrs)) {
+ if (safe_acc) {
+ if (shape.ndim() == 2) {
+ SoftmaxGrad<OP1, OP2, Req, negate, AType>(
+ ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
+ inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
+ shape.get<2>(), axis, static_cast<DType>(temperature));
+ } else {
+ SoftmaxGrad<OP1, OP2, Req, negate, AType>(
+ ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
+ inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
+ shape.get<3>(), axis, static_cast<DType>(temperature));
+ }
} else {
- SoftmaxGrad<OP1, OP2, Req, negate, AType>(
- ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
- inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
- shape.get<3>(), axis, static_cast<DType>(temperature));
+ if (shape.ndim() == 2) {
+ SoftmaxGrad<OP1, OP2, Req, negate, DType>(
+ ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
+ inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
+ shape.get<2>(), axis, static_cast<DType>(temperature));
+ } else {
+ SoftmaxGrad<OP1, OP2, Req, negate, DType>(
+ ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
+ inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
+ shape.get<3>(), axis, static_cast<DType>(temperature));
+ }
}
} else {
- if (shape.ndim() == 2) {
- SoftmaxGrad<OP1, OP2, Req, negate, DType>(
+ MXNET_INT_TYPE_SWITCH(inputs[2].type_flag_, IType, {
Review comment:
My original comment was meant for checking different int types. "iterate"
may not be an accurate word here. But nonetheless the suggestion follows the
same line. I.e. only use one fixed type instead of various int types.
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