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未验证 提交 9a589de8 编写于 作者: C chajchaj 提交者： GitHub
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cherry-pick:change softmax_with_cross_entropy_op's parameter name from... 

cherry-pick:change softmax_with_cross_entropy_op's parameter name from softmax_switch to use_softmax (#32750)

* change parameter name from softmax_switch to use_softmax, test=develop

* cherry-pick:change parameter name from softmax_switch to use_softmax, test=develop
上级 0bb079cd
隐藏空白更改
内联 并排
Showing with 56 addition and 59 deletion
paddle/fluid/operators/softmax_with_cross_entropy_op.cc
浏览文件 @ 9a589de8
......@@ -55,7 +55,7 @@ class SoftmaxWithCrossEntropyOpMaker
"the given labels as soft labels.")
.SetDefault(false);
AddAttr<bool>(
"softmax_switch",
"use_softmax",
"(bool, default: true), A flag to indicate whether to do softmax ")
.SetDefault(true);
AddAttr<bool>(
......@@ -320,7 +320,6 @@ REGISTER_OP_CPU_KERNEL(softmax_with_cross_entropy_grad,
REGISTER_OP_VERSION(softmax_with_cross_entropy)
.AddCheckpoint(
R"ROC(
Add a new attribute [softmax_switch] )ROC",
Add a new attribute [use_softmax] )ROC",
paddle::framework::compatible::OpVersionDesc().NewAttr(
"softmax_switch", "A flag to indicate whether to do softmax",
true));
"use_softmax", "A flag to indicate whether to do softmax", true));
paddle/fluid/operators/softmax_with_cross_entropy_op.cu
浏览文件 @ 9a589de8
......@@ -772,10 +772,10 @@ class SoftmaxWithCrossEntropyCUDAKernel : public framework::OpKernel<T> {
platform::is_gpu_place(context.GetPlace()), true,
platform::errors::Unavailable("softmax_with_cross_entropy operator's "
"CUDA kernel only runs on GPU device."));
const bool softmax_switch = context.Attr<bool>("softmax_switch");
const bool use_softmax = context.Attr<bool>("use_softmax");
// do not with softmax op, and input is softmax
if (!softmax_switch) {
if (!use_softmax) {
const Tensor* softmax = context.Input<Tensor>("Logits");
const Tensor* labels = context.Input<Tensor>("Label");
Tensor* softmax_out = context.Output<Tensor>("Softmax");
......@@ -925,10 +925,10 @@ class SoftmaxWithCrossEntropyGradCUDAKernel : public framework::OpKernel<T> {
int block = 512;
auto stream = context.cuda_device_context().stream();
auto ignore_index = context.Attr<int>("ignore_index");
auto softmax_switch = context.Attr<bool>("softmax_switch");
auto use_softmax = context.Attr<bool>("use_softmax");
// do not with softmax op, and input is softmax
if (!softmax_switch) {
if (!use_softmax) {
if (context.Attr<bool>("soft_label")) {
int grid = (n * d + block - 1) / block;
const T* label_data = labels->data<T>();
......
paddle/fluid/operators/softmax_with_cross_entropy_op.h
浏览文件 @ 9a589de8
......@@ -31,10 +31,10 @@ class SoftmaxWithCrossEntropyKernel : public framework::OpKernel<T> {
PADDLE_ENFORCE_EQ(
platform::is_cpu_place(context.GetPlace()), true,
platform::errors::Unimplemented("This kernel only runs on CPU."));
const bool softmax_switch = context.Attr<bool>("softmax_switch");
const bool use_softmax = context.Attr<bool>("use_softmax");
// do not with softmax op, and input is softmax
if (!softmax_switch) {
if (!use_softmax) {
const Tensor* softmax = context.Input<Tensor>("Logits");
const Tensor* labels = context.Input<Tensor>("Label");
Tensor* softmax_out = context.Output<Tensor>("Softmax");
......@@ -113,9 +113,9 @@ class SoftmaxWithCrossEntropyGradKernel : public framework::OpKernel<T> {
context.Output<Tensor>(framework::GradVarName("Logits"));
const Tensor* softmax = context.Input<Tensor>("Softmax");
const bool softmax_switch = context.Attr<bool>("softmax_switch");
const bool use_softmax = context.Attr<bool>("use_softmax");
if (logit_grad != softmax || !softmax_switch) {
if (logit_grad != softmax || !use_softmax) {
framework::TensorCopy(*softmax, context.GetPlace(),
context.device_context(), logit_grad);
}
......@@ -138,8 +138,8 @@ class SoftmaxWithCrossEntropyGradKernel : public framework::OpKernel<T> {
auto logit_grad_mat = framework::EigenMatrix<T>::From(logit_grad_2d);
auto& place = *context.template device_context<platform::CPUDeviceContext>()
.eigen_device();
if (!softmax_switch) {
// softmax_switch step1
if (!use_softmax) {
// use_softmax step1
if (soft_label) {
auto lbl_mat = framework::EigenMatrix<T>::From(labels_2d);
logit_grad_mat.device(place) =
......@@ -148,7 +148,7 @@ class SoftmaxWithCrossEntropyGradKernel : public framework::OpKernel<T> {
out_grad_mat.broadcast(Eigen::DSizes<int, 2>(1, axis_dim)) *
logit_grad_mat;
}
// softmax_switch step2
// use_softmax step2
else {
const int64_t* label_data = labels->data<int64_t>();
T* logit_grad_data = logit_grad->data<T>();
......@@ -181,7 +181,7 @@ class SoftmaxWithCrossEntropyGradKernel : public framework::OpKernel<T> {
return;
}
// for softmax_switch=False, continue
// for use_softmax=False, continue
if (soft_label) {
// when soft_label = True, ignore_index is not supported
......
python/paddle/fluid/tests/unittests/test_softmax_with_cross_entropy_op.py
浏览文件 @ 9a589de8
......@@ -56,7 +56,7 @@ class TestSoftmaxWithCrossEntropyOp(OpTest):
self.axis = -1
self.ignore_index = -1
self.shape = [41, 37]
self.softmax_switch = True
self.use_softmax = True
def setUp(self):
self.initParams()
......@@ -77,7 +77,7 @@ class TestSoftmaxWithCrossEntropyOp(OpTest):
loss = cross_entropy(softmax, labels, self.soft_label, self.axis,
self.ignore_index)
if self.softmax_switch == False:
if self.use_softmax == False:
self.inputs = {"Logits": softmax, "Label": labels}
else:
self.inputs = {"Logits": logits, "Label": labels}
......@@ -90,7 +90,7 @@ class TestSoftmaxWithCrossEntropyOp(OpTest):
"numeric_stable_mode": self.numeric_stable_mode,
"soft_label": self.soft_label,
"ignore_index": self.ignore_index,
"softmax_switch": self.softmax_switch,
"use_softmax": self.use_softmax,
}
if self.axis != -1:
......@@ -117,7 +117,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_SoftLabel_1D(
self.axis = -1
self.ignore_index = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_1D(
......@@ -130,7 +130,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_1D(
self.axis = -1
self.ignore_index = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
##############################################################################
......@@ -146,7 +146,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_SoftLabel_2D(
self.axis = -1
self.ignore_index = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_SoftLabel_2D_Axis2(
......@@ -159,7 +159,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_SoftLabel_2D_Axis2(
self.axis = 1
self.ignore_index = -1
self.shape = [3, 5, 7, 11]
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_SoftLabel_2D_Axis3(
......@@ -172,7 +172,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_SoftLabel_2D_Axis3(
self.axis = 2
self.ignore_index = -1
self.shape = [3, 5, 7, 11]
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_SoftLabel_2D_Axis4(
......@@ -185,7 +185,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_SoftLabel_2D_Axis4(
self.axis = 3
self.ignore_index = -1
self.shape = [3, 5, 7, 11]
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
##############################################################################
......@@ -207,7 +207,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_2D(
self.axis = -1
self.ignore_index = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_2D_Axis2(
......@@ -220,7 +220,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_2D_Axis2(
self.axis = 1
self.ignore_index = -1
self.shape = [3, 5, 7, 11]
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_2D_Axis3(
......@@ -233,7 +233,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_2D_Axis3(
self.axis = 2
self.ignore_index = -1
self.shape = [3, 5, 7, 11]
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_2D_Axis4(
......@@ -246,7 +246,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_2D_Axis4(
self.axis = 3
self.ignore_index = -1
self.shape = [3, 5, 7, 11]
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
##############################################################################
......@@ -268,7 +268,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_Ignore(
self.axis = -1
self.ignore_index = 2
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_Ignore_Axis(
......@@ -281,7 +281,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_Ignore_Axis(
self.axis = 1
self.ignore_index = 2
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_2D_Ignore(
......@@ -294,7 +294,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_2D_Ignore(
self.axis = -1
self.ignore_index = 2
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_2D_Ignore_Axis3(
......@@ -307,7 +307,7 @@ class TestSoftmaxWithCrossEntropyOp_NotWithSoftmax_HardLabel_2D_Ignore_Axis3(
self.axis = 2
self.ignore_index = 2
self.shape = [3, 5, 7, 11]
self.softmax_switch = False #default is true, means "with softmax"
self.use_softmax = False #default is true, means "with softmax"
##############################################################################
......@@ -324,7 +324,7 @@ class TestSoftmaxWithCrossEntropyOpNoCudnn(TestSoftmaxWithCrossEntropyOp):
self.axis = -1
self.ignore_index = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = True
self.use_softmax = True
@unittest.skipIf(not core.is_compiled_with_cuda(),
......@@ -403,7 +403,7 @@ class TestSoftmaxWithCrossEntropyOp2(TestSoftmaxWithCrossEntropyOp):
self.axis = -1
self.ignore_index = -1
self.shape = [41, 37]
self.softmax_switch = True
self.use_softmax = True
def test_check_output(self):
self.check_output()
......@@ -429,7 +429,7 @@ class TestSoftmaxWithCrossEntropyOp3(TestSoftmaxWithCrossEntropyOp):
self.ignore_index = 5
self.axis = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOp3NoCudnn(TestSoftmaxWithCrossEntropyOp3):
......@@ -441,7 +441,7 @@ class TestSoftmaxWithCrossEntropyOp3NoCudnn(TestSoftmaxWithCrossEntropyOp3):
self.ignore_index = 4
self.axis = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpAxis1(TestSoftmaxWithCrossEntropyOp):
......@@ -458,7 +458,7 @@ class TestSoftmaxWithCrossEntropyOpAxis1(TestSoftmaxWithCrossEntropyOp):
self.axis = 0
self.ignore_index = -1
self.shape = [3, 5, 7, 11]
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpAxis2(TestSoftmaxWithCrossEntropyOp):
......@@ -475,7 +475,7 @@ class TestSoftmaxWithCrossEntropyOpAxis2(TestSoftmaxWithCrossEntropyOp):
self.axis = 1
self.ignore_index = -1
self.shape = [3, 5, 7, 11]
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpAxis3(TestSoftmaxWithCrossEntropyOp):
......@@ -492,7 +492,7 @@ class TestSoftmaxWithCrossEntropyOpAxis3(TestSoftmaxWithCrossEntropyOp):
self.axis = 2
self.ignore_index = -1
self.shape = [3, 5, 7, 11]
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpAxis4(TestSoftmaxWithCrossEntropyOp):
......@@ -509,7 +509,7 @@ class TestSoftmaxWithCrossEntropyOpAxis4(TestSoftmaxWithCrossEntropyOp):
self.axis = 3
self.ignore_index = -1
self.shape = [3, 5, 7, 11]
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpAxisDimEqualOne(
......@@ -527,7 +527,7 @@ class TestSoftmaxWithCrossEntropyOpAxisDimEqualOne(
self.axis = -1
self.ignore_index = -1
self.shape = [3, 5, 7, 1]
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpNoCudnnFp16Axis1(
......@@ -540,7 +540,7 @@ class TestSoftmaxWithCrossEntropyOpNoCudnnFp16Axis1(
self.axis = 0
self.ignore_index = -1
self.dtype = np.float16
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpNoCudnnFp16Axis2(
......@@ -553,7 +553,7 @@ class TestSoftmaxWithCrossEntropyOpNoCudnnFp16Axis2(
self.axis = 1
self.ignore_index = -1
self.dtype = np.float16
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpNoCudnnFp16Axis3(
......@@ -566,7 +566,7 @@ class TestSoftmaxWithCrossEntropyOpNoCudnnFp16Axis3(
self.axis = 2
self.ignore_index = -1
self.dtype = np.float16
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpSoftLabelAxis1(
......@@ -579,7 +579,7 @@ class TestSoftmaxWithCrossEntropyOpSoftLabelAxis1(
self.axis = 0
self.ignore_index = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpSoftLabelAxis2(
......@@ -592,7 +592,7 @@ class TestSoftmaxWithCrossEntropyOpSoftLabelAxis2(
self.axis = 1
self.ignore_index = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpSoftLabelAxis3(
......@@ -605,7 +605,7 @@ class TestSoftmaxWithCrossEntropyOpSoftLabelAxis3(
self.axis = 2
self.ignore_index = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpSoftLabelAxis4(
......@@ -618,7 +618,7 @@ class TestSoftmaxWithCrossEntropyOpSoftLabelAxis4(
self.axis = 3
self.ignore_index = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpIgnoreIndexNoCudnnAxis1(
......@@ -631,7 +631,7 @@ class TestSoftmaxWithCrossEntropyOpIgnoreIndexNoCudnnAxis1(
self.ignore_index = 1
self.axis = 0
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpIgnoreIndexNoCudnnAxis2(
......@@ -644,7 +644,7 @@ class TestSoftmaxWithCrossEntropyOpIgnoreIndexNoCudnnAxis2(
self.ignore_index = 0
self.axis = 1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpIgnoreIndexNoCudnnAxis3(
......@@ -657,7 +657,7 @@ class TestSoftmaxWithCrossEntropyOpIgnoreIndexNoCudnnAxis3(
self.ignore_index = 3
self.axis = 2
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpIgnoreIndexNoCudnnAxis4(
......@@ -670,7 +670,7 @@ class TestSoftmaxWithCrossEntropyOpIgnoreIndexNoCudnnAxis4(
self.ignore_index = 3
self.axis = 3
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpBoundary0(TestSoftmaxWithCrossEntropyOp):
......@@ -688,7 +688,7 @@ class TestSoftmaxWithCrossEntropyOpBoundary0(TestSoftmaxWithCrossEntropyOp):
self.ignore_index = -1
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.logits = np.full(self.shape, -500.0).astype(self.dtype)
self.softmax_switch = True
self.use_softmax = True
class TestSoftmaxWithCrossEntropyOpBoundary1(TestSoftmaxWithCrossEntropyOp):
......@@ -707,7 +707,7 @@ class TestSoftmaxWithCrossEntropyOpBoundary1(TestSoftmaxWithCrossEntropyOp):
self.dtype = np.float32 if core.is_compiled_with_rocm() else np.float64
self.logits = np.full(self.shape, 1000.0).astype(self.dtype)
self.logits[:, :, 0, :] = -1000.0
self.softmax_switch = True
self.use_softmax = True
if __name__ == "__main__":
......
python/paddle/nn/functional/loss.py
浏览文件 @ 9a589de8
......@@ -1371,8 +1371,6 @@ def cross_entropy(input,
"should be '-100', but received %s, which is not allowed." %
ignore_index)
softmax_switch = use_softmax
input_dims = len(list(input.shape))
label_dims = len(list(label.shape))
if input_dims - 1 != label_dims and input_dims != label_dims:
......@@ -1385,7 +1383,7 @@ def cross_entropy(input,
_, out = core.ops.softmax_with_cross_entropy(
input, label, 'soft_label', soft_label, 'ignore_index',
ignore_index, 'numeric_stable_mode', True, 'axis', axis,
'softmax_switch', softmax_switch)
'use_softmax', use_softmax)
if weight is not None:
......@@ -1467,7 +1465,7 @@ def cross_entropy(input,
'ignore_index': ignore_index,
'numeric_stable_mode': True,
'axis': axis,
'softmax_switch': softmax_switch
'use_softmax': use_softmax
}
helper = LayerHelper('softmax_with_cross_entropy', **locals())
softmax = helper.create_variable_for_type_inference(dtype=input.dtype)
......
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