Fill constant error message fix (#20075)

* fix the constant error message test=develop

* fix typo test=develop

* fix typo test=develop

* fix code style test=develop

* fix comment and bugs test=develop

* fix the bug test=develop

* fix and add unittest test=develop

* fix the typo test=develop

* add support for the fill_constant op test=develop

* add test for ci coverage test=develop

paddle/fluid/operators/fill_constant_op.cc

@@ -87,4 +87,5 @@ REGISTER_OP_CPU_KERNEL(fill_constant, ops::FillConstantKernel<float>,
                        ops::FillConstantKernel<double>,
                        ops::FillConstantKernel<int64_t>,
                        ops::FillConstantKernel<int>,
+                       ops::FillConstantKernel<bool>,
                        ops::FillConstantKernel<paddle::platform::float16>);

python/paddle/fluid/data_feeder.py

@@ -27,7 +27,19 @@ __all__ = ['DataFeeder']
 
 
 def convert_dtype(dtype):
-    if dtype == core.VarDesc.VarType.FP32:
+    if isinstance(dtype, str):
+        if dtype in [
+                'float32', 'int64', 'float64', 'float16', 'int32', 'uint8',
+                'bool'
+        ]:
+            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'
@@ -40,7 +52,7 @@ def convert_dtype(dtype):
     elif dtype == core.VarDesc.VarType.UINT8:
         return 'uint8'
     else:
-        raise ValueError("dtype must be any of [int32, float32, int64, "
+        raise ValueError("dtype must be any of [bool,int32, float32, int64, "
                          "float64, uint8]")
 
 

python/paddle/fluid/layers/tensor.py

@@ -21,6 +21,7 @@ from ..framework import Variable
 from ..initializer import Constant, force_init_on_cpu
 from ..core import VarDesc
 from .layer_function_generator import templatedoc
+from ..data_feeder import convert_dtype
 import numpy
 
 __all__ = [
@@ -397,8 +398,21 @@ def fill_constant(shape, dtype, value, force_cpu=False, out=None):
     """
 
     helper = LayerHelper("fill_constant", **locals())
+    if convert_dtype(dtype) not in [
+            'bool', 'float16', 'float32', 'float64', 'int32', 'int64'
+    ]:
+        raise TypeError(
+            "The create data type in fill_constant must be one of 'bool', float16, float32,"
+            "float64, int32 or int64, but received %s." % convert_dtype(
+                (dtype)))
     if out is None:
         out = helper.create_variable_for_type_inference(dtype=dtype)
+    else:
+        if not (convert_dtype(dtype) == convert_dtype(out.dtype)):
+            raise TypeError(
+                "The create data type in op must be same with out type"
+                "but received %s and out dtype %s." % (convert_dtype(
+                    (dtype), convert_dtype(out.dtype))))
     helper.append_op(
         type='fill_constant',
         inputs={},

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

@@ -20,6 +20,8 @@ from op_test import OpTest
 
 import paddle.fluid.core as core
 from paddle.fluid.op import Operator
+import paddle.fluid as fluid
+from paddle.fluid import compiler, Program, program_guard
 
 
 class TestFillConstantOp1(OpTest):
@@ -104,5 +106,41 @@ class TestFillConstantOpWithSelectedRows(OpTest):
             self.check_with_place(place)
 
 
+class TestFillConstantOpError(OpTest):
+    def test_errors(self):
+        with program_guard(Program(), Program()):
+            #for ci coverage 
+            x1 = fluid.layers.data(name='x1', shape=[1], dtype="int16")
+            self.assertRaises(
+                ValueError,
+                fluid.layers.fill_constant,
+                shape=[1],
+                value=5,
+                dtype='uint4')
+            self.assertRaises(
+                ValueError,
+                fluid.layers.fill_constant,
+                shape=[1],
+                value=5,
+                dtype='int16',
+                out=x1)
+            # The input dtype of fill_constant must be one of bool, float16, 
+            #float32, float64, int32 or int64
+            x2 = fluid.layers.data(name='x2', shape=[1], dtype="int32")
+            self.assertRaises(
+                TypeError,
+                fluid.layers.fill_constant,
+                shape=[1],
+                value=5,
+                dtype='uint8')
+            self.assertRaises(
+                TypeError,
+                fluid.layers.fill_constant,
+                shape=[1],
+                value=5,
+                dtype='float64',
+                out=x2)
+
+
 if __name__ == "__main__":
     unittest.main()