fix int8 support for full kernel (#52194)

* fix int8 support for full kernel

* fix ut.

paddle/phi/kernels/gpu/full_kernel.cu

@@ -116,6 +116,7 @@ PD_REGISTER_KERNEL(full,
                    phi::FullKernel,
                    float,
                    double,
+                   int8_t,
                    uint8_t,
                    int16_t,
                    int,

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

@@ -75,12 +75,6 @@ class ApiOnesZerosError(unittest.TestCase):
 
         self.assertRaises(TypeError, test_error3)
 
-        def test_error4():
-            with paddle.static.program_guard(paddle.static.Program()):
-                ones = paddle.ones(shape=[10], dtype="int8")
-
-        self.assertRaises(TypeError, test_error4)
-
 
 if __name__ == "__main__":
     unittest.main()

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

@@ -21,14 +21,6 @@ from paddle import fluid
 from paddle.fluid import Program, program_guard
 
 
-class TestZerosOpError(unittest.TestCase):
-    def test_errors(self):
-        with program_guard(Program(), Program()):
-            shape = [4]
-            dtype = 'int8'
-            self.assertRaises(TypeError, fluid.layers.zeros, shape, dtype)
-
-
 class ApiZerosTest(unittest.TestCase):
     def test_out(self):
         with program_guard(Program()):
@@ -46,11 +38,11 @@ class ApiZerosTest(unittest.TestCase):
             expected_result = np.zeros(10, dtype='int64')
         self.assertEqual((result == expected_result).all(), True)
         with program_guard(Program()):
-            zeros = paddle.zeros(shape=[10], dtype='int64')
+            zeros = paddle.zeros(shape=[10], dtype='int8')
             place = paddle.CPUPlace()
             exe = paddle.static.Executor(place)
             (result,) = exe.run(fetch_list=[zeros])
-            expected_result = np.zeros(10, dtype='int64')
+            expected_result = np.zeros(10, dtype='int8')
         self.assertEqual((result == expected_result).all(), True)
         with program_guard(Program()):
             out_np = np.zeros(shape=1, dtype='float32')
@@ -78,12 +70,6 @@ class ApiZerosError(unittest.TestCase):
 
         self.assertRaises(TypeError, test_error1)
 
-        def test_error2():
-            with paddle.static.program_guard(fluid.Program()):
-                ones = fluid.layers.zeros(shape=[10], dtype='int8')
-
-        self.assertRaises(TypeError, test_error2)
-
     def test_shape_errors(self):
         with fluid.dygraph.guard():
             try:

python/paddle/tensor/creation.py

@@ -881,7 +881,7 @@ 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', 'int16', 'int32', 'int64']:
+            if dtype in ['int8', 'uint8', 'int16', 'int32', 'int64']:
                 attrs['str_value'] = str(int(value))
                 attrs['value'] = int(value)
             else:
@@ -904,6 +904,7 @@ def fill_constant(shape, dtype, value, force_cpu=False, out=None, name=None):
                 'float16',
                 'float32',
                 'float64',
+                'int8',
                 'uint8',
                 'int16',
                 'int32',
@@ -2045,6 +2046,7 @@ def assign(x, output=None):
                     'int32',
                     'int64',
                     'uint8',
+                    'int8',
                     'bool',
                 ],
                 'assign',
@@ -2218,6 +2220,7 @@ def _memcpy(input, place=None, output=None):
                 'int32',
                 'int64',
                 'uint8',
+                'int8',
                 'bool',
             ],
             'memcpy',