update-doc-pybind
dangqingqing 8 years ago
parent 39cf2e217d
commit 3ec48480af

@ -55,15 +55,15 @@ class AccuracyOpMaker : public framework::OpProtoAndCheckerMaker {
// TODO(typhoonzero): AddInput("Weight", ...
AddOutput("Accuracy", "The accuracy of current batch");
AddComment(
R"DOC(Accuracy. It will print accuracy rate for classification.
AddComment(R"DOC(
Accuracy. It will print accuracy rate for classification.
The accuracy is:
.. math::
accuracy = \\frac{NumOfCorrectPredicts}{NumOfAllSamples})
Both the input `Inference` and `Label` can carry the LoD (Level of Details)
information, or not. But the output only shares the LoD with input `Inference`.
DOC");
)DOC");
}
};

@ -38,6 +38,7 @@ class DropoutOp : public framework::OperatorWithKernel {
if (ctx.Attr<int>("is_training") == 1) {
ctx.Output<LoDTensor>("Mask")->Resize(dims);
}
ctx.ShareLoD("X", "Out");
}
};

@ -189,7 +189,6 @@ Activation type can be set to `identity` (default), `sigmoid` or `softmax`.
All the inputs can carry the LoD (Level of Details) information,
or not. But the output only shares the LoD with first input (`X[0]`).
)DOC");
)DOC");
}
};

@ -41,6 +41,11 @@ class PadOp : public framework::OperatorWithKernel {
}
ctx.Output<framework::LoDTensor>("Out")->Resize(
framework::make_ddim(out_dims));
if (out_dims[0] == x_dim[0]) {
// Only pass LoD when the first dimension is equal between
// output and input.
ctx.ShareLoD("X", "Out");
}
}
};

@ -51,6 +51,11 @@ class ReshapeOp : public framework::OperatorWithKernel {
[](int a) { return static_cast<int64_t>(a); });
auto out_dims = framework::make_ddim(shape_int64);
ctx.Output<framework::LoDTensor>("Out")->Resize(out_dims);
if (shape[0] == in->dims()[0]) {
// Only pass LoD when the first dimension is equal between
// output and input.
ctx.ShareLoD("X", "Out");
}
}
};

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