未验证 提交 e17ce379 编写于 作者: H Hongyu Liu 提交者: GitHub

Merge pull request #16388 from phlrain/pick_squeeze

Merge pull request #16348 from phlrain/fix_squeeze_check
......@@ -40,7 +40,7 @@ class SqueezeOpInferShape : public framework::InferShapeBase {
"tensor's rank.");
}
auto out_dims = GetOutputShape(axes, x_dims);
auto out_dims = GetOutputShape(axes, x_dims, false);
ctx->SetOutputDim("Out", out_dims);
if (x_dims[0] == out_dims[0]) {
// Only pass LoD when the first dimension of output and Input(X)
......@@ -50,7 +50,8 @@ class SqueezeOpInferShape : public framework::InferShapeBase {
}
static framework::DDim GetOutputShape(const std::vector<int> squeeze_dims,
const framework::DDim &in_dims) {
const framework::DDim &in_dims,
bool is_runtime) {
size_t num_squeeze_dims = squeeze_dims.size();
int cnt_squeezed_dims = 0;
bool should_squeeze[9] = {false};
......@@ -71,9 +72,12 @@ class SqueezeOpInferShape : public framework::InferShapeBase {
// Check current index, the upper limit has beed checked in line 36.
PADDLE_ENFORCE(current >= 0,
"Invalid axis, the negative axis is out of range.");
PADDLE_ENFORCE(in_dims[current] == 1,
"Invalid axis index, the axis that will be squeezed "
"should be equal to 1.");
if (is_runtime) {
PADDLE_ENFORCE(in_dims[current] == 1,
"Invalid axis index, the axis that will be squeezed "
"should be equal to 1.");
}
if (!(should_squeeze[current])) {
++cnt_squeezed_dims;
......@@ -103,7 +107,7 @@ class SqueezeOp : public framework::OperatorBase {
const platform::Place &place) const override {
auto &axes = Attr<std::vector<int>>("axes");
auto x_dims = scope.FindVar(Input("X"))->Get<framework::LoDTensor>().dims();
auto out_dims = SqueezeOpInferShape::GetOutputShape(axes, x_dims);
auto out_dims = SqueezeOpInferShape::GetOutputShape(axes, x_dims, true);
framework::AttributeMap attrs;
attrs["shape"] = framework::vectorize2int(out_dims);
......@@ -223,7 +227,7 @@ class Squeeze2Op : public framework::OperatorBase {
const platform::Place &place) const override {
auto &axes = Attr<std::vector<int>>("axes");
auto x_dims = scope.FindVar(Input("X"))->Get<framework::LoDTensor>().dims();
auto out_dims = Squeeze2OpInferShape::GetOutputShape(axes, x_dims);
auto out_dims = Squeeze2OpInferShape::GetOutputShape(axes, x_dims, true);
framework::AttributeMap attrs;
attrs["shape"] = framework::vectorize2int(out_dims);
......
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