Support int16_t in fill_constant_op (#35619)

paddle/fluid/operators/fill_constant_op.cc

@@ -149,8 +149,8 @@ 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>,
+    ops::FillConstantKernel<int16_t>, ops::FillConstantKernel<int>,
+    ops::FillConstantKernel<int64_t>, ops::FillConstantKernel<bool>,
     ops::FillConstantKernel<paddle::platform::float16>,
     ops::FillConstantKernel<paddle::platform::bfloat16>,
     ops::FillConstantKernel<paddle::platform::complex<float>>,

paddle/fluid/operators/fill_constant_op.cu.cc

@@ -18,8 +18,8 @@ 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>,
+    ops::FillConstantKernel<int16_t>, ops::FillConstantKernel<int>,
+    ops::FillConstantKernel<int64_t>, ops::FillConstantKernel<bool>,
     ops::FillConstantKernel<paddle::platform::float16>,
     ops::FillConstantKernel<paddle::platform::complex<float>>,
     ops::FillConstantKernel<paddle::platform::complex<double>>);

paddle/fluid/operators/math/math_function.cc

@@ -41,6 +41,7 @@ template struct SetConstant<platform::CPUDeviceContext, platform::float16>;
 template struct SetConstant<platform::CPUDeviceContext, platform::bfloat16>;
 template struct SetConstant<platform::CPUDeviceContext, float>;
 template struct SetConstant<platform::CPUDeviceContext, double>;
+template struct SetConstant<platform::CPUDeviceContext, int16_t>;
 template struct SetConstant<platform::CPUDeviceContext, int>;
 template struct SetConstant<platform::CPUDeviceContext, int64_t>;
 template struct SetConstant<platform::CPUDeviceContext, bool>;
@@ -56,6 +57,7 @@ template struct SetConstant<platform::XPUDeviceContext, platform::bfloat16>;
 template struct SetConstant<platform::XPUDeviceContext, float>;
 template struct SetConstant<platform::XPUDeviceContext, double>;
 template struct SetConstant<platform::XPUDeviceContext, uint8_t>;
+template struct SetConstant<platform::XPUDeviceContext, int16_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 @@ 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, int16_t>;
 template struct SetConstant<platform::CUDADeviceContext, int64_t>;
 template struct SetConstant<platform::CUDADeviceContext, bool>;
 template struct SetConstant<platform::CUDADeviceContext,

python/paddle/fluid/layers/tensor.py

@@ -674,7 +674,7 @@ 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, uint8, int32, int64.
+            be float16, float32, float64, uint8, int16, 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.
@@ -712,7 +712,7 @@ 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 ['uint8', 'int64', 'int32']:
+        if dtype in ['uint8', 'int16', 'int32', 'int64']:
             attrs['str_value'] = str(int(value))
             attrs['value'] = int(value)
         else:
@@ -725,7 +725,7 @@ 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 ['uint8', 'int64', 'int32']:
+            if dtype in ['uint8', 'int16', 'int32', 'int64']:
                 attrs['str_value'] = str(int(value.numpy().item(0)))
             else:
                 attrs['str_value'] = str(float(value.numpy().item(0)))
@@ -745,10 +745,10 @@ 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', 'uint8', 'int32', 'int64'],
-        'fill_constant')
+    check_dtype(dtype, 'dtype', [
+        'bool', 'float16', 'float32', 'float64', 'uint8', 'int16', 'int32',
+        'int64'
+    ], 'fill_constant')
     check_type(shape, 'shape', (Variable, list, tuple), 'fill_constant')
 
     if out is not None:

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

@@ -358,13 +358,6 @@ class TestFillConstantOpError(unittest.TestCase):
                 shape=[1],
                 value=5,
                 dtype='uint4')
-            self.assertRaises(
-                TypeError,
-                fluid.layers.fill_constant,
-                shape=[1],
-                value=5,
-                dtype='int16',
-                out=x1)
 
             self.assertRaises(
                 TypeError,
@@ -375,7 +368,7 @@ class TestFillConstantOpError(unittest.TestCase):
                 out=x1)
 
             # The argument dtype of fill_constant_op must be one of bool, float16,
-            #float32, float64, uint8, int32 or int64
+            #float32, float64, uint8, int16, int32 or int64
             x2 = fluid.layers.data(name='x2', shape=[1], dtype="int32")
 
             self.assertRaises(

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

@@ -84,7 +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, uint8, int32 or int64
+            #float32, float64, uint8, int16, int32 or int64
 
             # The argument shape's type of full_op  must be list, tuple or Variable.
             def test_shape_type():