Support uint8_t for fill_constant_op (#31911)

paddle/fluid/operators/fill_constant_op.cc

@@ -149,6 +149,7 @@ REGISTER_OPERATOR(
 
 REGISTER_OP_CPU_KERNEL(fill_constant, ops::FillConstantKernel<float>,
                        ops::FillConstantKernel<double>,
+                       ops::FillConstantKernel<uint8_t>,
                        ops::FillConstantKernel<int64_t>,
                        ops::FillConstantKernel<int>,
                        ops::FillConstantKernel<bool>,

paddle/fluid/operators/fill_constant_op.cu.cc

@@ -17,6 +17,7 @@ limitations under the License. */
 namespace ops = paddle::operators;
 REGISTER_OP_CUDA_KERNEL(fill_constant, ops::FillConstantKernel<float>,
                         ops::FillConstantKernel<double>,
+                        ops::FillConstantKernel<uint8_t>,
                         ops::FillConstantKernel<int64_t>,
                         ops::FillConstantKernel<int>,
                         ops::FillConstantKernel<bool>,

paddle/fluid/operators/math/math_function.cc

@@ -51,6 +51,7 @@ template struct SetConstant<platform::CPUDeviceContext, platform::complex128>;
 template struct SetConstant<platform::XPUDeviceContext, platform::float16>;
 template struct SetConstant<platform::XPUDeviceContext, float>;
 template struct SetConstant<platform::XPUDeviceContext, double>;
+template struct SetConstant<platform::XPUDeviceContext, uint8_t>;
 template struct SetConstant<platform::XPUDeviceContext, int>;
 template struct SetConstant<platform::XPUDeviceContext, int64_t>;
 template struct SetConstant<platform::XPUDeviceContext, bool>;

paddle/fluid/operators/math/math_function.cu

@@ -35,6 +35,7 @@ using complex128 = paddle::platform::complex128;
 template struct SetConstant<platform::CUDADeviceContext, platform::float16>;
 template struct SetConstant<platform::CUDADeviceContext, float>;
 template struct SetConstant<platform::CUDADeviceContext, double>;
+template struct SetConstant<platform::CUDADeviceContext, uint8_t>;
 template struct SetConstant<platform::CUDADeviceContext, int>;
 template struct SetConstant<platform::CUDADeviceContext, int64_t>;
 template struct SetConstant<platform::CUDADeviceContext, bool>;

python/paddle/fluid/layers/tensor.py

@@ -635,7 +635,7 @@ def fill_constant(shape, dtype, value, force_cpu=False, out=None, name=None):
             If ``shape`` is a list or tuple, the elements of it should be integers or Tensors with shape [1].
             If ``shape`` is an Tensor, it should be an 1-D Tensor with date type int32 or int64.
         dtype(np.dtype|str): Data type of the output Tensor which can
-            be float16, float32, float64, int32, int64.
+            be float16, float32, float64, uint8, int32, int64.
         value(bool|float|int|Tensor): The constant value used to initialize 
             the Tensor to be created. If ``value`` is an Tensor, it should be an 1-D Tensor.
         force_cpu(bool, optional): data should be on CPU if it's true, default value is False.
@@ -673,7 +673,7 @@ def fill_constant(shape, dtype, value, force_cpu=False, out=None, name=None):
     attrs = {'force_cpu': force_cpu}
     dtype = convert_dtype(dtype)
     if not isinstance(value, Variable):
-        if dtype in ['int64', 'int32']:
+        if dtype in ['uint8', 'int64', 'int32']:
             attrs['str_value'] = str(int(value))
             attrs['value'] = int(value)
         else:
@@ -686,7 +686,7 @@ def fill_constant(shape, dtype, value, force_cpu=False, out=None, name=None):
             out = _varbase_creator(dtype=dtype)
 
         if isinstance(value, Variable):
-            if dtype in ['int64', 'int32']:
+            if dtype in ['uint8', 'int64', 'int32']:
                 attrs['str_value'] = str(int(value.numpy().item(0)))
             else:
                 attrs['str_value'] = str(float(value.numpy().item(0)))
@@ -706,8 +706,9 @@ def fill_constant(shape, dtype, value, force_cpu=False, out=None, name=None):
         inputs['ValueTensor'] = value
 
     check_shape(shape)
-    check_dtype(dtype, 'dtype',
-                ['bool', 'float16', 'float32', 'float64', 'int32', 'int64'],
+    check_dtype(
+        dtype, 'dtype',
+        ['bool', 'float16', 'float32', 'float64', 'uint8', 'int32', 'int64'],
         'fill_constant')
     check_type(shape, 'shape', (Variable, list, tuple), 'fill_constant')
 

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

@@ -375,15 +375,9 @@ class TestFillConstantOpError(unittest.TestCase):
                 out=x1)
 
             # The argument dtype of fill_constant_op must be one of bool, float16,
-            #float32, float64, int32 or int64
+            #float32, float64, uint8, 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,

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

@@ -84,10 +84,7 @@ class TestFullOpError(unittest.TestCase):
                 TypeError, paddle.full, shape=[1], fill_value=5, dtype='uint4')
 
             # The argument dtype of full must be one of bool, float16,
-            #float32, float64, int32 or int64
-
-            self.assertRaises(
-                TypeError, paddle.full, shape=[1], fill_value=5, dtype='uint8')
+            #float32, float64, uint8, int32 or int64
 
             # The argument shape's type of full_op  must be list, tuple or Variable.
             def test_shape_type():