Upgrade waveflow api to 1.8.2

README.md

@@ -40,7 +40,7 @@ sudo apt-get install libsndfile1
 
 ### Install PaddlePaddle
 
-See [install](https://www.paddlepaddle.org.cn/install/quick) for more details. This repo requires PaddlePaddle **1.8.0** or above.
+See [install](https://www.paddlepaddle.org.cn/install/quick) for more details. This repo requires PaddlePaddle **1.8.2** or above.
 
 ### Install Parakeet
 

parakeet/models/waveflow/waveflow_modules.py

@@ -79,7 +79,7 @@ class Conditioner(dg.Layer):
                 stride=(1, s),
                 param_attr=param_attr,
                 bias_attr=bias_attr,
-                dtype="float32")
+                dtype=dtype)
             self.upsample_conv2d.append(conv_trans2d)
 
         for i, layer in enumerate(self.upsample_conv2d):
@@ -88,12 +88,7 @@ class Conditioner(dg.Layer):
     def forward(self, x):
         x = fluid.layers.unsqueeze(x, 1)
         for layer in self.upsample_conv2d:
-            in_dtype = x.dtype
-            if in_dtype == fluid.core.VarDesc.VarType.FP16:
-                x = fluid.layers.cast(x, "float32")
             x = layer(x)
-            if in_dtype == fluid.core.VarDesc.VarType.FP16:
-                x = fluid.layers.cast(x, "float16")
             x = fluid.layers.leaky_relu(x, alpha=0.4)
 
         return fluid.layers.squeeze(x, [1])
@@ -101,12 +96,7 @@ class Conditioner(dg.Layer):
     def infer(self, x):
         x = fluid.layers.unsqueeze(x, 1)
         for layer in self.upsample_conv2d:
-            in_dtype = x.dtype
-            if in_dtype == fluid.core.VarDesc.VarType.FP16:
-                x = fluid.layers.cast(x, "float32")
             x = layer(x)
-            if in_dtype == fluid.core.VarDesc.VarType.FP16:
-                x = fluid.layers.cast(x, "float16")
             # Trim conv artifacts.
             time_cutoff = layer._filter_size[1] - layer._stride[1]
             x = fluid.layers.leaky_relu(x[:, :, :, :-time_cutoff], alpha=0.4)

setup.py

@@ -55,7 +55,7 @@ setup_info = dict(
         'inflect',
         'librosa',
         'unidecode',
-        'numba==0.48.0',
+        'numba==0.47.0',
         'tqdm==4.19.8',
         'matplotlib',
         'tensorboardX',