delete size api (#48397)

python/paddle/fluid/layers/nn.py

@@ -116,7 +116,6 @@ __all__ = [
     'sum',
     'slice',
     'shape',
-    'size',
     'clip',
     'clip_by_norm',
     'mean',
@@ -6912,53 +6911,6 @@ def shape(input):
     return out
 
 
-@deprecated(since="2.0.0", update_to="paddle.numel")
-def size(input):
-    """
-    **Size Layer**
-
-    Returns the number of elements for a tensor, which is a int64 Tensor with shape [1].
-
-    Args:
-        input (Tensor): The input Tensor, it's data type can be bool, float16, float32, float64, int32, int64.
-
-    Returns:
-        Tensor: The number of elements for the input Tensor.
-
-    Raises:
-        TypeError: ``input`` must be a Tensor and the data type of ``input`` must be one of bool, float16, float32, float64, int32, int64.
-
-    Examples:
-        .. code-block:: python
-
-            import paddle
-            import paddle.fluid.layers as layers
-            paddle.enable_static()
-
-            input = layers.data(
-                name="input", shape=[3, 100], dtype="float32", append_batch_size=False)
-            rank = layers.size(input) # 300
-    """
-
-    if in_dygraph_mode():
-        return _C_ops.numel(input)
-
-    if _in_legacy_dygraph():
-        return _legacy_C_ops.size(input)
-
-    check_variable_and_dtype(
-        input,
-        'input',
-        ['bool', 'float16', 'float32', 'float64', 'int32', 'int64'],
-        "size",
-    )
-    helper = LayerHelper('size', **locals())
-    out = helper.create_variable_for_type_inference(dtype='int64')
-    helper.append_op(type='size', inputs={'Input': input}, outputs={'Out': out})
-
-    return out
-
-
 def _elementwise_op(helper):
     op_type = helper.layer_type
     x = helper.kwargs.get('x', None)

python/paddle/fluid/tests/unittests/mlu/test_size_op_mlu.py

@@ -71,8 +71,8 @@ class TestSizeAPI(unittest.TestCase):
             x_2 = paddle.fluid.data(shape=shape2, dtype='int32', name='x_2')
             input_1 = np.random.random(shape1).astype("int32")
             input_2 = np.random.random(shape2).astype("int32")
-            out_1 = paddle.fluid.layers.size(x_1)
-            out_2 = paddle.fluid.layers.size(x_2)
+            out_1 = paddle.numel(x_1)
+            out_2 = paddle.numel(x_2)
             exe = paddle.static.Executor(place=paddle.MLUPlace(0))
             res_1, res_2 = exe.run(
                 feed={
@@ -94,8 +94,8 @@ class TestSizeAPI(unittest.TestCase):
         input_2 = np.random.random([1, 4, 5]).astype("int32")
         x_1 = paddle.to_tensor(input_1)
         x_2 = paddle.to_tensor(input_2)
-        out_1 = paddle.fluid.layers.size(x_1)
-        out_2 = paddle.fluid.layers.size(x_2)
+        out_1 = paddle.numel(x_1)
+        out_2 = paddle.numel(x_2)
         assert np.array_equal(out_1.numpy().item(0), np.size(input_1))
         assert np.array_equal(out_2.numpy().item(0), np.size(input_2))
         paddle.enable_static()
@@ -108,7 +108,7 @@ class TestSizeAPI(unittest.TestCase):
             def test_x_type():
                 shape = [1, 4, 5]
                 input_1 = np.random.random(shape).astype("int32")
-                out_1 = paddle.fluid.layers.size(input_1)
+                out_1 = paddle.numel(input_1)
 
             self.assertRaises(TypeError, test_x_type)
 

python/paddle/fluid/tests/unittests/npu/test_size_op_npu.py

@@ -100,8 +100,8 @@ class TestSizeAPI(unittest.TestCase):
             x_2 = paddle.fluid.data(shape=shape2, dtype='int32', name='x_2')
             input_1 = np.random.random(shape1).astype("int32")
             input_2 = np.random.random(shape2).astype("int32")
-            out_1 = paddle.fluid.layers.size(x_1)
-            out_2 = paddle.fluid.layers.size(x_2)
+            out_1 = paddle.numel(x_1)
+            out_2 = paddle.numel(x_2)
             exe = paddle.static.Executor(place=self.place)
             res_1, res_2 = exe.run(
                 feed={
@@ -123,8 +123,8 @@ class TestSizeAPI(unittest.TestCase):
         input_2 = np.random.random([1, 4, 5]).astype("int32")
         x_1 = paddle.to_tensor(input_1)
         x_2 = paddle.to_tensor(input_2)
-        out_1 = paddle.fluid.layers.size(x_1)
-        out_2 = paddle.fluid.layers.size(x_2)
+        out_1 = paddle.numel(x_1)
+        out_2 = paddle.numel(x_2)
         assert np.array_equal(out_1.numpy().item(0), np.size(input_1))
         assert np.array_equal(out_2.numpy().item(0), np.size(input_2))
         paddle.enable_static()
@@ -137,7 +137,7 @@ class TestSizeAPI(unittest.TestCase):
             def test_x_type():
                 shape = [1, 4, 5]
                 input_1 = np.random.random(shape).astype("int32")
-                out_1 = paddle.fluid.layers.size(input_1)
+                out_1 = paddle.numel(input_1)
 
             self.assertRaises(TypeError, test_x_type)
 

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

@@ -17,6 +17,7 @@ import numpy as np
 import paddle
 import paddle.fluid as fluid
 from op_test import OpTest
+import paddle
 
 
 class TestSizeOp(OpTest):
@@ -66,8 +67,8 @@ class TestSizeAPI(unittest.TestCase):
             x_2 = paddle.fluid.data(shape=shape2, dtype='int32', name='x_2')
             input_1 = np.random.random(shape1).astype("int32")
             input_2 = np.random.random(shape2).astype("int32")
-            out_1 = paddle.fluid.layers.size(x_1)
-            out_2 = paddle.fluid.layers.size(x_2)
+            out_1 = paddle.numel(x_1)
+            out_2 = paddle.numel(x_2)
             exe = paddle.static.Executor(place=paddle.CPUPlace())
             res_1, res_2 = exe.run(
                 feed={
@@ -90,8 +91,8 @@ class TestSizeAPI(unittest.TestCase):
         input_2 = np.random.random([1, 4, 5]).astype("int32")
         x_1 = paddle.to_tensor(input_1)
         x_2 = paddle.to_tensor(input_2)
-        out_1 = paddle.fluid.layers.size(x_1)
-        out_2 = paddle.fluid.layers.size(x_2)
+        out_1 = paddle.numel(x_1)
+        out_2 = paddle.numel(x_2)
         assert np.array_equal(out_1.numpy().item(0), np.size(input_1))
         assert np.array_equal(out_2.numpy().item(0), np.size(input_2))
         paddle.enable_static()
@@ -104,7 +105,7 @@ class TestSizeAPI(unittest.TestCase):
             def test_x_type():
                 shape = [1, 4, 5]
                 input_1 = np.random.random(shape).astype("int32")
-                out_1 = paddle.fluid.layers.size(input_1)
+                out_1 = paddle.numel(input_1)
 
             self.assertRaises(TypeError, test_x_type)