add fp64 support in sequence_pool, test=develop (#25662)

add fp64 support in sequence_pool, test=develop

paddle/fluid/operators/sequence_ops/sequence_pool_op.cc

@@ -180,7 +180,10 @@ REGISTER_OPERATOR(sequence_pool_grad, ops::SequencePoolGradOp,
                   ops::SequencePoolGradOpNoNeedBufferVarsInferer);
 REGISTER_OP_CPU_KERNEL(
     sequence_pool,
-    ops::SequencePoolKernel<paddle::platform::CPUDeviceContext, float>);
+    ops::SequencePoolKernel<paddle::platform::CPUDeviceContext, float>,
+    ops::SequencePoolKernel<paddle::platform::CPUDeviceContext, double>);
+
 REGISTER_OP_CPU_KERNEL(
     sequence_pool_grad,
-    ops::SequencePoolGradKernel<paddle::platform::CPUDeviceContext, float>);
+    ops::SequencePoolGradKernel<paddle::platform::CPUDeviceContext, float>,
+    ops::SequencePoolGradKernel<paddle::platform::CPUDeviceContext, double>);

python/paddle/fluid/layers/sequence_lod.py

@@ -346,7 +346,8 @@ def sequence_pool(input, pool_type, is_test=False, pad_value=0.0):
     """
     assert not in_dygraph_mode(), (
         "sequence layer is not supported in dygraph mode yet.")
-    check_variable_and_dtype(input, 'input', ['float32'], 'sequence_pool')
+    check_variable_and_dtype(input, 'input', ['float32', 'float64'],
+                             'sequence_pool')
     helper = LayerHelper('sequence_pool', **locals())
     dtype = helper.input_dtype()
     pool_out = helper.create_variable_for_type_inference(dtype)