Merge pull request #7792 from kuke/add_lstmp

Add lstm with recurrent projection layer operator

paddle/operators/lstmp_op.cu

@@ -0,0 +1,24 @@
+/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#include "paddle/operators/lstmp_op.h"
+
+namespace ops = paddle::operators;
+REGISTER_OP_CUDA_KERNEL(
+    lstmp, ops::LSTMPKernel<paddle::platform::CUDADeviceContext, float>,
+    ops::LSTMPKernel<paddle::platform::CUDADeviceContext, double>);
+REGISTER_OP_CUDA_KERNEL(
+    lstmp_grad,
+    ops::LSTMPGradKernel<paddle::platform::CUDADeviceContext, float>,
+    ops::LSTMPGradKernel<paddle::platform::CUDADeviceContext, double>);

python/paddle/v2/fluid/tests/test_lstm_op.py

@@ -42,7 +42,7 @@ def relu(x):
     return np.maximum(x, 0)
 
 
-ACTVATION = {
+ACTIVATION = {
     'identity': identity,
     'sigmoid': sigmoid,
     'tanh': tanh,
@@ -158,8 +158,8 @@ class TestLstmOp(OpTest):
         w_b = b[:, 0:4 * self.D]
         w_c = b[:, 4 * self.D:] if self.use_peepholes else None
         h, c = lstm(x, self.lod, h0, c0, w, w_b, w_c, self.is_reverse,
-                    ACTVATION[self.act_gate], ACTVATION[self.act_cell],
-                    ACTVATION[self.act_cand])
+                    ACTIVATION[self.act_gate], ACTIVATION[self.act_cell],
+                    ACTIVATION[self.act_cand])
 
         self.inputs = {'Input': (x, self.lod), 'Weight': w}