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Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into fix_anakin_in_manylinux1

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dataset_flowers_-_change_md5
minqiyang 7 years ago
parent d214dff13c 2ae885e224
commit c128c24d14
5 changed files with 7 additions and 101 deletions
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2
paddle/fluid/inference/tensorrt/CMakeLists.txt
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@ -1,4 +1,4 @@
nv_library(tensorrt_engine SRCS engine.cc DEPS framework_proto)
nv_library(tensorrt_engine SRCS engine.cc DEPS framework_proto device_context)
nv_test(test_tensorrt SRCS test_tensorrt.cc DEPS dynload_cuda device_context dynamic_loader)
nv_test(test_tensorrt_engine SRCS test_engine.cc DEPS dynload_cuda tensorrt_engine)
add_subdirectory(convert)

12
paddle/fluid/operators/squeeze_op.cc
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@ -23,9 +23,9 @@ class SqueezeOpInferShape : public framework::InferShapeBase {
public:
void operator()(framework::InferShapeContext *ctx) const override {
PADDLE_ENFORCE(ctx->HasInput("X"),
"Input(X) of SqueezeOp should not be null.");
"Input(X) of Squeeze operator should not be null.");
PADDLE_ENFORCE(ctx->HasOutput("Out"),
"Output(Out) of SqueezeOp should not be null.");
"Output(Out) of Squeeze operator should not be null.");
const auto &x_dims = ctx->GetInputDim("X");
// Check input tensor dims (<6) Eigen limit.
@ -107,7 +107,6 @@ class SqueezeOp : public framework::OperatorBase {
framework::AttributeMap attrs;
attrs["shape"] = framework::vectorize2int(out_dims);
attrs["inplace"] = Attr<bool>("inplace");
// Invoke Reshape Op
auto reshape_op = framework::OpRegistry::CreateOp(
"reshape", {{"X", {Input("X")}}, {"Shape", {}}},
@ -125,12 +124,6 @@ class SqueezeOpMaker : public framework::OpProtoAndCheckerMaker {
"(std::vector<int>). List of integers,"
" indicating the dimensions to squeeze.")
.SetDefault({});
AddAttr<bool>("inplace",
"(default: false) Squeeze the source tensor's shape without "
"memory copy. When Attr(inplace) is set true, the output "
"tensor shares memory with Input(X), otherwise, a new output "
"tensor is created, and its data are copied from Input(x).")
.SetDefault(false);
AddComment(R"DOC(
Squeeze Operator.
@ -180,7 +173,6 @@ class SqueezeGradOp : public framework::OperatorBase {
auto x_dims = scope.FindVar(Input("X"))->Get<framework::LoDTensor>().dims();
framework::AttributeMap attrs;
attrs["shape"] = framework::vectorize2int(x_dims);
attrs["inplace"] = Attr<bool>("inplace");
auto reshape_op = framework::OpRegistry::CreateOp(
"reshape", {{"X", {dout_name}}, {"Shape", {}}}, {{"Out", {dx_name}}},

13
paddle/fluid/operators/unsqueeze_op.cc
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@ -23,9 +23,9 @@ class UnsqueezeOpInferShape : public framework::InferShapeBase {
public:
void operator()(framework::InferShapeContext *ctx) const override {
PADDLE_ENFORCE(ctx->HasInput("X"),
"Input(X) of UnsqueezeOp should not be null.");
"Input(X) of Unsqueeze operator should not be null.");
PADDLE_ENFORCE(ctx->HasOutput("Out"),
"Output(Out) of UnsqueezeOp should not be null.");
"Output(Out) of Unsqueeze operator should not be null.");
const auto &axes = ctx->Attrs().Get<std::vector<int>>("axes");
const auto &x_dims = ctx->GetInputDim("X");
@ -95,7 +95,6 @@ class UnsqueezeOp : public framework::OperatorBase {
framework::AttributeMap attrs;
attrs["shape"] = framework::vectorize2int(out_dims);
attrs["inplace"] = Attr<bool>("inplace");
// Invoke Reshape op.
auto reshape_op = framework::OpRegistry::CreateOp(
"reshape", {{"X", {Input("X")}}, {"Shape", {}}},
@ -126,13 +125,6 @@ class UnsqueezeOpMaker : public framework::OpProtoAndCheckerMaker {
" within [1, 6] dimensions (Eigen limit).");
}
});
AddAttr<bool>(
"inplace",
"(default: false) Unsqueeze the source tensor's shape without "
"memory copy. When Attr(inplace) is set true, the output "
"tensor shares memory with Input(X), otherwise, a new output "
"tensor is created, and its data are copied from Input(x).")
.SetDefault(false);
AddComment(R"DOC(
Unsqueeze Operator.
@ -168,7 +160,6 @@ class UnsqueezeGradOp : public framework::OperatorBase {
framework::AttributeMap attrs;
attrs["shape"] = framework::vectorize2int(x_dims);
attrs["inplace"] = Attr<bool>("inplace");
auto reshape_op = framework::OpRegistry::CreateOp(
"reshape", {{"X", {dout_name}}, {"Shape", {}}}, {{"Out", {dx_name}}},

46
python/paddle/fluid/tests/unittests/test_squeeze_op.py
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@ -41,7 +41,7 @@ class TestSqueezeOp(OpTest):
self.new_shape = (3, 5)
def init_attrs(self):
self.attrs = {"axes": self.axes, "inplace": False}
self.attrs = {"axes": self.axes}
# Correct: There is mins axis.
@ -68,49 +68,5 @@ class TestSqueezeOp3(TestSqueezeOp):
self.new_shape = (3, 5, 1, 4)
# Correct: Inplace.
class TestSqueezeOpInplace1(TestSqueezeOp):
def init_test_case(self):
self.ori_shape = (1, 3, 1, 5)
self.axes = (0, 2)
self.new_shape = (3, 5)
def init_attrs(self):
self.attrs = {"axes": self.axes, "inplace": True}
# Correct: Inplace. There is mins axis.
class TestSqueezeOpInplace2(TestSqueezeOp):
def inti_test_case(self):
self.ori_shape = (1, 3, 1, 5)
self.axes = (0, -2)
self.new_shape = (3, 5)
def init_attrs(self):
self.attrs = {"axes": self.axes, "inplace": True}
# Correct: Inplace. No axes input.
class TestSqueezeOpInplace3(TestSqueezeOp):
def init_test_case(self):
self.ori_shape = (1, 3, 1, 5)
self.axes = ()
self.new_shape = (3, 5)
def init_attrs(self):
self.attrs = {"axes": self.axes, "inplace": True}
# Correct: Inpalce. Just part of axes be squeezed.
class TestSqueezeOpInplace4(TestSqueezeOp):
def init_test_case(self):
self.ori_shape = (3, 1, 5, 1, 4, 1)
self.axes = (1, -1)
self.new_shape = (3, 5, 1, 4)
def init_attrs(self):
self.attrs = {"axes": self.axes, "inplace": True}
if __name__ == "__main__":
unittest.main()

35
python/paddle/fluid/tests/unittests/test_unsqueeze_op.py
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@ -41,7 +41,7 @@ class TestUnsqueezeOp(OpTest):
self.new_shape = (3, 1, 1, 5)
def init_attrs(self):
self.attrs = {"axes": self.axes, "inplace": False}
self.attrs = {"axes": self.axes}
# Correct: Single input index.
@ -76,38 +76,5 @@ class TestUnsqueezeOp4(TestUnsqueezeOp):
self.new_shape = (3, 1, 1, 2, 5, 1)
# Correct: Inplace.
class TestUnsqueezeOpInplace1(TestUnsqueezeOp):
def init_test_case(self):
self.ori_shape = (3, 5)
self.axes = (0, 2)
self.new_shape = (1, 3, 1, 5)
def init_attrs(self):
self.attrs = {"axes": self.axes, "inplace": True}
# Correct: Inplace. There is mins index.
class TestUnsqueezeOpInplace2(TestUnsqueezeOp):
def init_test_case(self):
self.ori_shape = (3, 5)
self.axes = (0, -2)
self.new_shape = (1, 3, 1, 5)
def init_attrs(self):
self.attrs = {"axes": self.axes, "inplace": True}
# Correct: Inplace. There is duplicated axis.
class TestUnsqueezeOpInplace3(TestUnsqueezeOp):
def init_test_case(self):
self.ori_shape = (3, 2, 5)
self.axes = (0, 3, 3)
self.new_shape = (1, 3, 2, 1, 1, 5)
def init_attrs(self):
self.attrs = {"axes": self.axes, "inplace": True}
if __name__ == "__main__":
unittest.main()

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