add input type and dtype check for cast_op (#20070)

* add input type and dtype check for cast_op
test=develop

* fix annotation
test=develop

* support more data type

test=develop

* fix bug for fill_constant's error type

test=develop

* improve converage

test=develop

* improve converage

test=develop

python/paddle/fluid/data_feeder.py

@@ -29,31 +29,32 @@ __all__ = ['DataFeeder']
 def convert_dtype(dtype):
     if isinstance(dtype, str):
         if dtype in [
-                'float32', 'int64', 'float64', 'float16', 'int32', 'uint8',
-                'bool'
+                'bool', 'float16', 'float32', 'float64', 'int8', 'int16',
+                'int32', 'int64', 'uint8'
         ]:
             return dtype
-        else:
-            raise ValueError(
-                "dtype must be any of [bool, int32, float32, int64, "
-                "float64, uint8]")
-    elif dtype == core.VarDesc.VarType.BOOL:
-        return 'bool'
-    elif dtype == core.VarDesc.VarType.FP32:
-        return 'float32'
-    elif dtype == core.VarDesc.VarType.INT64:
-        return 'int64'
-    elif dtype == core.VarDesc.VarType.FP64:
-        return 'float64'
-    elif dtype == core.VarDesc.VarType.FP16:
-        return 'float16'
-    elif dtype == core.VarDesc.VarType.INT32:
-        return 'int32'
-    elif dtype == core.VarDesc.VarType.UINT8:
-        return 'uint8'
     else:
-        raise ValueError("dtype must be any of [bool,int32, float32, int64, "
-                         "float64, uint8]")
+        if dtype == core.VarDesc.VarType.BOOL:
+            return 'bool'
+        elif dtype == core.VarDesc.VarType.FP16:
+            return 'float16'
+        elif dtype == core.VarDesc.VarType.FP32:
+            return 'float32'
+        elif dtype == core.VarDesc.VarType.FP64:
+            return 'float64'
+        elif dtype == core.VarDesc.VarType.INT8:
+            return 'int8'
+        elif dtype == core.VarDesc.VarType.INT16:
+            return 'int16'
+        elif dtype == core.VarDesc.VarType.INT32:
+            return 'int32'
+        elif dtype == core.VarDesc.VarType.INT64:
+            return 'int64'
+        elif dtype == core.VarDesc.VarType.UINT8:
+            return 'uint8'
+    raise ValueError(
+        "dtype must be any of [bool, float16, float32, float64, int8, int16, "
+        "int32, int64, uint8]")
 
 
 class DataToLoDTensorConverter(object):

python/paddle/fluid/layers/tensor.py

@@ -192,6 +192,17 @@ def cast(x, dtype):
             #  [ 0  4]] int32
     """
     helper = LayerHelper('cast', **locals())
+    if not isinstance(x, Variable):
+        raise TypeError(
+            "The type of 'x' in cast must be Variable, but received %s" %
+            (type(x)))
+    if convert_dtype(x.dtype) not in [
+            'bool', 'float16', 'float32', 'float64', 'int32', 'int64', 'uint8'
+    ]:
+        raise TypeError(
+            "The data type of 'x' in cast must be one of [bool, float16, float32, float64, int32, int64, uint8], but received %s."
+            % (convert_dtype(x.dtype)))
+
     out = helper.create_variable_for_type_inference(dtype=dtype)
     helper.append_op(
         type='cast',

python/paddle/fluid/tests/unittests/test_cast_op.py

@@ -18,6 +18,8 @@ import op_test
 import unittest
 import numpy as np
 import paddle.fluid.core as core
+import paddle.fluid as fluid
+from paddle.fluid import compiler, Program, program_guard
 
 
 class TestCastOp1(op_test.OpTest):
@@ -69,5 +71,19 @@ class TestCastOp3(op_test.OpTest):
         self.check_output(atol=1e-3)
 
 
+class TestCastOpError(op_test.OpTest):
+    def test_errors(self):
+        with program_guard(Program(), Program()):
+            # The input type of cast_op must be Variable.
+            x1 = fluid.create_lod_tensor(
+                np.array([[-1]]), [[1]], fluid.CPUPlace())
+            self.assertRaises(TypeError, fluid.layers.cast, x1, 'int32')
+            # The input dtype of cast_op must be bool, float16, float32, float64, int32, int64, uint8.
+            x2 = fluid.layers.data(name='x2', shape=[4], dtype='int8')
+            self.assertRaises(TypeError, fluid.layers.cast, x2, 'int32')
+            x3 = fluid.layers.data(name='x3', shape=[4], dtype='int16')
+            self.assertRaises(TypeError, fluid.layers.cast, x3, 'int32')
+
+
 if __name__ == '__main__':
     unittest.main()

python/paddle/fluid/tests/unittests/test_fill_constant_op.py

@@ -230,7 +230,7 @@ class TestFillConstantOpError(OpTest):
                 value=5,
                 dtype='uint4')
             self.assertRaises(
-                ValueError,
+                TypeError,
                 fluid.layers.fill_constant,
                 shape=[1],
                 value=5,