fix globalPooling type (int => bool)

tonyyang-svail-feed-op-desgin
chengduoZH 8 years ago
parent 30a586df0c
commit 4b06d8db91

@ -35,7 +35,7 @@ class PoolOp : public framework::OperatorWithKernel {
auto in_x = ctx.Input<Tensor>("X");
auto out = ctx.Output<Tensor>("Out");
int global_pooling = Attr<int>("globalPooling");
bool global_pooling = Attr<bool>("globalPooling");
std::string pooling_type = Attr<std::string>("poolingType");
std::vector<int> ksize = Attr<std::vector<int>>("ksize");
std::vector<int> strides = Attr<std::vector<int>>("strides");
@ -45,6 +45,15 @@ class PoolOp : public framework::OperatorWithKernel {
"pooling_type should be 'max' or 'avg'");
PADDLE_ENFORCE(in_x->dims().size() == 4 || in_x->dims().size() == 5,
"Pooling intput should be 4-D or 5-D");
if (global_pooling) {
ksize.resize(static_cast<size_t>(in_x->dims().size()) - 2);
for (size_t i = 0; i < ksize.size(); ++i)
ksize[i] = static_cast<int>(in_x->dims()[i + 2]);
}
PADDLE_ENFORCE(in_x->dims().size() == static_cast<size_t>(ksize.size() + 2),
"Input size and Pooling size should be consistent.");
PADDLE_ENFORCE(ksize.size() == 2 || ksize.size() == 3,
"Pooling size should be 2 elements. or 3 elements.");
PADDLE_ENFORCE_EQ(ksize.size(), strides.size(),
@ -52,12 +61,6 @@ class PoolOp : public framework::OperatorWithKernel {
PADDLE_ENFORCE_EQ(ksize.size(), paddings.size(),
"paddings size and pooling size should be the same.");
if (global_pooling == 1) {
ksize.resize(static_cast<size_t>(in_x->dims().size()) - 2);
for (size_t i = 0; i < ksize.size(); ++i)
ksize[i] = static_cast<int>(in_x->dims()[i + 2]);
}
std::vector<int64_t> output_shape({in_x->dims()[0], in_x->dims()[1]});
for (size_t i = 0; i < ksize.size(); ++i) {
output_shape.push_back(OutputSizePool(in_x->dims()[i + 2], ksize[i],
@ -103,15 +106,16 @@ class Pool2dOpMaker : public framework::OpProtoAndCheckerMaker {
"poolingType of pooling operator."
"str constant equal to 'max' or 'avg'");
AddAttr<std::vector<int>>(
"ksize", "pooling size(height, width) of pooling operator.")
.AddCustomChecker(GreaterThanChecker_pool({0, 0}));
AddAttr<int>(
"ksize",
"Pooling size(depth, height, width) of pooling operator."
"If globalPooling = true, ksize is ignored and need not be specified.");
AddAttr<bool>(
"globalPooling",
"whether to use the globalPooling."
"int constant equal to 0 or 1"
"default 0"
"If globalPooling = 1, ksize is ignored and need not be specified.")
.SetDefault(0);
"int constant equal to false or true"
"default false"
"If globalPooling = true, ksize is ignored and need not be specified.")
.SetDefault(false);
AddAttr<std::vector<int>>("strides",
"strides(height, width) of pooling operator."
"default {1,1}")
@ -177,15 +181,16 @@ class Pool3dOpMaker : public framework::OpProtoAndCheckerMaker {
"poolingType of pooling operator."
"str constant equal to 'max' or 'avg'");
AddAttr<std::vector<int>>(
"ksize", "pooling size(depth, height, width) of pooling operator.")
.AddCustomChecker(GreaterThanChecker_pool({0, 0, 0}));
AddAttr<int>(
"ksize",
"pooling size(depth, height, width) of pooling operator."
"If globalPooling = true, ksize is ignored and need not be specified.");
AddAttr<bool>(
"globalPooling",
"whether to use the globalPooling."
"int constant equal to 0 or 1"
"default 0"
"If globalPooling = 1, ksize is ignored and need not be specified.")
.SetDefault(0);
"int constant equal to false or true"
"default false"
"If globalPooling = true, ksize is ignored and need not be specified.")
.SetDefault(false);
AddAttr<std::vector<int>>(
"strides",
"strides(depth, height, width) of pooling operator."

@ -31,12 +31,12 @@ class PoolKernel : public framework::OpKernel {
const Tensor* in_x = context.Input<Tensor>("X");
Tensor* out = context.Output<Tensor>("Out");
int global_pooling = context.Attr<int>("globalPooling");
bool global_pooling = context.Attr<bool>("globalPooling");
std::string pooling_type = context.Attr<std::string>("poolingType");
std::vector<int> ksize = context.Attr<std::vector<int>>("ksize");
std::vector<int> strides = context.Attr<std::vector<int>>("strides");
std::vector<int> paddings = context.Attr<std::vector<int>>("paddings");
if (global_pooling == 1) {
if (global_pooling) {
for (size_t i = 0; i < ksize.size(); ++i) {
ksize[i] = static_cast<int>(in_x->dims()[i + 2]);
}
@ -92,13 +92,13 @@ class PoolGradKernel : public framework::OpKernel {
context.Input<Tensor>(framework::GradVarName("Out"));
Tensor* in_x_grad = context.Output<Tensor>(framework::GradVarName("X"));
int global_pooling = context.Attr<int>("globalPooling");
bool global_pooling = context.Attr<bool>("globalPooling");
std::string pooling_type = context.Attr<std::string>("poolingType");
std::vector<int> ksize = context.Attr<std::vector<int>>("ksize");
std::vector<int> strides = context.Attr<std::vector<int>>("strides");
std::vector<int> paddings = context.Attr<std::vector<int>>("paddings");
if (global_pooling == 1) {
if (global_pooling) {
for (size_t i = 0; i < ksize.size(); ++i)
ksize[i] = static_cast<int>(in_x->dims()[i + 2]);
}

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