add api spec change

test=develop

paddle/fluid/API.spec

@@ -121,6 +121,7 @@ paddle.fluid.layers.sequence_reshape ArgSpec(args=['input', 'new_dim'], varargs=
 paddle.fluid.layers.transpose ArgSpec(args=['x', 'perm', 'name'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.im2sequence ArgSpec(args=['input', 'filter_size', 'stride', 'padding', 'input_image_size', 'out_stride', 'name'], varargs=None, keywords=None, defaults=(1, 1, 0, None, 1, None))
 paddle.fluid.layers.nce ArgSpec(args=['input', 'label', 'num_total_classes', 'sample_weight', 'param_attr', 'bias_attr', 'num_neg_samples', 'name', 'sampler', 'custom_dist', 'seed', 'is_sparse'], varargs=None, keywords=None, defaults=(None, None, None, None, None, 'uniform', None, 0, False))
+paddle.fluid.layers.sampled_softmax_with_cross_entropy ArgSpec(args=['logits', 'label', 'num_samples', 'num_true', 'remove_accidental_hits', 'use_custom_samples', 'custom_samples', 'custom_probabilities', 'seed'], varargs=None, keywords=None, defaults=(1, True, False, None, None, 0))
 paddle.fluid.layers.hsigmoid ArgSpec(args=['input', 'label', 'num_classes', 'param_attr', 'bias_attr', 'name', 'path_table', 'path_code', 'is_custom', 'is_sparse'], varargs=None, keywords=None, defaults=(None, None, None, None, None, False, False))
 paddle.fluid.layers.beam_search ArgSpec(args=['pre_ids', 'pre_scores', 'ids', 'scores', 'beam_size', 'end_id', 'level', 'is_accumulated', 'name', 'return_parent_idx'], varargs=None, keywords=None, defaults=(0, True, None, False))
 paddle.fluid.layers.row_conv ArgSpec(args=['input', 'future_context_size', 'param_attr', 'act'], varargs=None, keywords=None, defaults=(None, None))

paddle/fluid/operators/sample_logits_op.cu

@@ -113,10 +113,9 @@ class SampleLogitsCUDAKernel : public framework::OpKernel<T> {
     if (!FLAGS_debug_print) {
       return;
     }
-    VLOG(1) << "qxz print " << name;
-    VLOG(1) << name << "size = " << t.numel();
+    VLOG(1) << name << " size = " << t.numel();
     size_t size = t.numel();
-    type* d = t.data<type>();
+    const type* d = t.data<type>();
 #ifdef PADDLE_WITH_CUDA
     std::vector<type> vec;
     platform::DeviceContextPool::Instance().Get(t.place())->Wait();
@@ -126,7 +125,7 @@ class SampleLogitsCUDAKernel : public framework::OpKernel<T> {
       d = vec.data();
     }
 #endif
-    VLOG(1) << name << " data_ptr = " << static_cast<void*>(d);
+    VLOG(1) << name << " data_ptr = " << static_cast<const void*>(d);
     std::string out;
     for (size_t i = 0; i < size; i++) {
       out += std::to_string(d[i]);