[API Compatibility] nll_loss/bernoulli_/weight_norm/resize_/imag/Flatten/kl_div/GRU/Softmax/L1Loss/avg_pool2d/LogSoftmax/hann_window/det/pinverse/addcdiv_/real/inv/ParameterList/scatter_reduce_/xavier_uniform/ge_/sign_/pinv/take/resize_as_/huber_loss/float/set_default_tensor_type/fmod/pack_padded_sequence/pad_packed_sequence/ctc_loss/nan_to_num/fmod_/fill_diagonal_/assert_allclose/absolute/randint_like Edit By AI Agent

paddle/fluid/pir/dialect/operator/interface/infer_symbolic_shape/same_operands_result.cc

@@ -163,6 +163,7 @@ OP_SAME_OPERANDS_AND_RESULT(Selu_)
 OP_SAME_OPERANDS_AND_RESULT(ShadowFeed)
 OP_SAME_OPERANDS_AND_RESULT(ShareData_)
 OP_SAME_OPERANDS_AND_RESULT(Sign)
+OP_SAME_OPERANDS_AND_RESULT(Sign_)
 OP_SAME_OPERANDS_AND_RESULT(Sin)
 OP_SAME_OPERANDS_AND_RESULT(Sin_)
 OP_SAME_OPERANDS_AND_RESULT(Sinh)

paddle/fluid/pir/dialect/operator/interface/infer_symbolic_shape/same_operands_result.h

@@ -154,6 +154,7 @@ OP_DECLARE_INFER_SYMBOLIC_SHAPE(Select)
 OP_DECLARE_INFER_SYMBOLIC_SHAPE(ShadowFeed)
 OP_DECLARE_INFER_SYMBOLIC_SHAPE(ShareData_)
 OP_DECLARE_INFER_SYMBOLIC_SHAPE(Sign)
+OP_DECLARE_INFER_SYMBOLIC_SHAPE(Sign_)
 OP_DECLARE_INFER_SYMBOLIC_SHAPE(Silu)
 OP_DECLARE_INFER_SYMBOLIC_SHAPE(Silu_)
 OP_DECLARE_INFER_SYMBOLIC_SHAPE(Sin)

paddle/phi/ops/yaml/ops.yaml

@@ -5136,6 +5136,7 @@
     spmd_rule : ElementwiseUnaryInferSpmd
   kernel :
     func : sign
+  inplace: (x -> out)
   backward : sign_grad
   interfaces : paddle::dialect::InferSymbolicShapeInterface
   traits: pir::UnaryElementWiseTrait

paddle/phi/ops/yaml/python_api_info.yaml

@@ -1,10 +1,10 @@
 - op : abs
-  name : [paddle.abs, paddle.Tensor.abs]
+  name : [paddle.abs, paddle.Tensor.abs, paddle.absolute, paddle.Tensor.absolute]
   args_alias :
     use_default_mapping : True
 
 - op : abs_
-  name : [paddle.abs_, paddle.Tensor.abs_]
+  name : [paddle.abs_, paddle.Tensor.abs_, paddle.absolute_, paddle.Tensor.absolute_]
   args_alias :
     use_default_mapping : True
 
@@ -470,7 +470,7 @@
 - op : inverse
   name : [paddle.inverse, paddle.Tensor.inverse, paddle.linalg.inv]
   args_alias:
-    use_default_mapping : True
+    x : [input, A]
 
 - op : lgamma
   name : [paddle.lgamma, paddle.Tensor.lgamma]
@@ -580,6 +580,11 @@
   args_alias :
     use_default_mapping : True
 
+- op : imag
+  name : [paddle.imag, paddle.Tensor.imag]
+  args_alias :
+    use_default_mapping : True
+
 - op : pixel_shuffle
   name : [paddle.nn.functional.pixel_shuffle]
   args_alias :
@@ -598,7 +603,7 @@
     use_default_mapping : True
 
 - op : remainder_
-  name : [paddle.remainder_, paddle.Tensor.remainder_, paddle.mod_, paddle.Tensor.mod_, paddle.floor_mod_, paddle.Tensor.floor_mod_]
+  name : [paddle.remainder_, paddle.Tensor.remainder_, paddle.mod_, paddle.Tensor.mod_, paddle.floor_mod_, paddle.Tensor.floor_mod_, paddle.fmod_, paddle.Tensor.fmod_]
   args_alias :
     use_default_mapping : True
   pre_process :
@@ -647,6 +652,11 @@
   args_alias :
     use_default_mapping : True
 
+- op : sign_
+  name : [paddle.sign_, paddle.Tensor.sign_]
+  args_alias :
+    use_default_mapping : True
+
 - op : sin
   name : [paddle.sin, paddle.Tensor.sin]
   args_alias :

python/paddle/__init__.py

@@ -343,6 +343,7 @@ def new_init(self, *args, **kwargs):
     load,
     save,
     set_default_dtype,
+    set_default_tensor_type,
 )
 from .framework.random import (
     Generator,
@@ -435,6 +436,7 @@ def new_init(self, *args, **kwargs):
     cdist,
     cholesky,
     cross,
+    det,
     diagonal,
     dist,
     dot,
@@ -447,6 +449,7 @@ def new_init(self, *args, **kwargs):
     mv,
     norm,
     permute,
+    pinv,
     t,
     t_,
     transpose,
@@ -532,10 +535,12 @@ def new_init(self, *args, **kwargs):
     moveaxis,
     narrow,
     put_along_axis,
+    put_along_axis_,
     ravel,
     repeat_interleave,
     reshape,
     reshape_,
+    resize_as_,
     roll,
     rot90,
     row_stack,
@@ -546,6 +551,7 @@ def new_init(self, *args, **kwargs):
     scatter_nd,
     scatter_nd_add,
     scatter_reduce,
+    scatter_reduce_,
     select_scatter,
     shard_index,
     slice,
@@ -584,6 +590,8 @@ def new_init(self, *args, **kwargs):
     acosh_,
     add,
     add_n,
+    addcdiv,
+    addcdiv_,
     addmm,
     addmm_,
     addmv,
@@ -737,6 +745,7 @@ def new_init(self, *args, **kwargs):
     scale,
     sgn,
     sign,
+    sign_,
     signbit,
     sin,
     sin_,
@@ -1063,11 +1072,13 @@ def __dir__(self):
 movedim = moveaxis
 mod = remainder
 floor_mod = remainder
+fmod = remainder
 fix = trunc
 fix_ = trunc_
 mvlgamma = multigammaln
 mvlgamma_ = multigammaln_
 negative_ = neg_
+pinverse = pinv
 
 __all__ = [
     'block_diag',
@@ -1100,6 +1111,8 @@ def __dir__(self):
     'complex128',
     'pstring',
     'raw',
+    'addcdiv',
+    'addcdiv_',
     'addmm',
     'addmm_',
     'addmv',
@@ -1115,6 +1128,7 @@ def __dir__(self):
     'add',
     'subtract',
     'subtract_',
+    'det',
     'diag',
     'diagflat',
     'diag_embed',
@@ -1300,6 +1314,8 @@ def __dir__(self):
     'inference_mode',
     'mod',
     'mod_',
+    'fmod',
+    'fmod_',
     'abs',
     'abs_',
     'tril',
@@ -1312,6 +1328,7 @@ def __dir__(self):
     'index_select',
     'CPUPlace',
     'matmul',
+    'pinverse',
     'seed',
     'acos',
     'acos_',
@@ -1437,6 +1454,7 @@ def __dir__(self):
     'enable_static',
     'scatter_nd',
     'set_default_dtype',
+    'set_default_tensor_type',
     'disable_signal_handler',
     'expand_as',
     'stack',
@@ -1451,6 +1469,7 @@ def __dir__(self):
     'logspace',
     'reshape',
     'reshape_',
+    'resize_as_',
     'atleast_1d',
     'atleast_2d',
     'atleast_3d',
@@ -1512,7 +1531,9 @@ def __dir__(self):
     'take_along_axis',
     'take_along_dim',
     'scatter_reduce',
+    'scatter_reduce_',
     'put_along_axis',
+    'put_along_axis_',
     'scatter_add',
     'select_scatter',
     'multigammaln',

python/paddle/_paddle_docs.py

@@ -3966,6 +3966,60 @@ def angle(
 """,
 )
 
+add_doc_and_signature(
+    "imag",
+    r"""
+    Returns a new tensor containing imaginary values of input tensor.
+
+    Args:
+        x (Tensor): the input tensor, its data type could be complex64 or complex128.
+        name (str|None, optional): The default value is None. Normally there is no need for
+            user to set this property. For more information, please refer to :ref:`api_guide_Name` .
+
+    Keyword args:
+        out(Tensor, optional): The output tensor.
+
+    Returns:
+        Tensor: a tensor containing imaginary values of the input tensor.
+
+    Examples:
+        .. code-block:: pycon
+
+            >>> import paddle
+
+            >>> x = paddle.to_tensor(
+            ...     [
+            ...         [1 + 6j, 2 + 5j, 3 + 4j],
+            ...         [4 + 3j, 5 + 2j, 6 + 1j],
+            ...     ]
+            ... )
+            >>> print(x)
+            Tensor(shape=[2, 3], dtype=complex64, place=Place(cpu), stop_gradient=True,
+            [[(1.00000000+6.00000000j), (2.00000000+5.00000000j), (3.00000000+4.00000000j)],
+             [(4.00000000+3.00000000j), (5.00000000+2.00000000j), (6.00000000+1.00000000j)]])
+
+            >>> imag_res = paddle.imag(x)
+            >>> print(imag_res)
+            Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
+            [[6., 5., 4.],
+             [3., 2., 1.]])
+
+            >>> imag_t = x.imag()
+            >>> print(imag_t)
+            Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
+            [[6., 5., 4.],
+             [3., 2., 1.]])
+""",
+    """
+def imag(
+    x: Tensor,
+    name: str | None = None,
+    *,
+    out: Tensor | None = None,
+) -> Tensor
+""",
+)
+
 add_doc_and_signature(
     "real",
     r"""

python/paddle/compat/nn/__init__.py

@@ -744,7 +744,7 @@ def forward(self, input: Tensor) -> Tensor:
         return functional.softmax(input, self._dim)
 
     def extra_repr(self) -> str:
-        return f"dim={self.dim}"
+        return f"dim={self._dim}"
 
 
 class SmoothL1Loss(nn.Layer):

python/paddle/framework/__init__.py

@@ -80,7 +80,11 @@
 # isort: on
 from ..base.param_attr import ParamAttr  # noqa: F401
 from . import random  # noqa: F401
-from .framework import get_default_dtype, set_default_dtype  # noqa: F401
+from .framework import (  # noqa: F401
+    get_default_dtype,
+    set_default_dtype,
+    set_default_tensor_type,
+)
 from .io import load, save  # noqa: F401
 from .io_utils import (  # noqa: F401
     _clone_var_in_block_,

python/paddle/framework/framework.py

@@ -77,6 +77,53 @@ def set_default_dtype(d: DTypeLike) -> None:
     LayerHelperBase.set_default_dtype(d)
 
 
+def set_default_tensor_type(t: DTypeLike | str, /) -> None:
+    """
+    Set the default tensor type.
+
+    .. warning::
+        This API is deprecated. Please use ``paddle.set_default_dtype`` instead.
+
+    Args:
+        t (dtype or str): The default tensor type. It can be a dtype like
+            ``paddle.float32`` or a string like ``"paddle.float32"`` or
+            ``"paddle.FloatTensor"``. Only float dtypes are supported.
+
+    Returns:
+        None.
+
+    Examples:
+        .. code-block:: pycon
+
+            >>> import paddle
+            >>> paddle.set_default_tensor_type("paddle.FloatTensor")
+            >>> paddle.set_default_tensor_type(paddle.FloatTensor)
+    """
+    if isinstance(t, type):
+        t = t.__name__
+
+    if isinstance(t, str):
+        t = t.replace('torch.', '').replace('paddle.', '').replace('cuda.', '')
+        dtype_map = {
+            "FloatTensor": "float32",
+            "DoubleTensor": "float64",
+            "HalfTensor": "float16",
+            "BFloat16Tensor": "bfloat16",
+        }
+        if t in dtype_map:
+            t = dtype_map[t]
+        else:
+            raise TypeError(
+                f"set_default_tensor_type only supports DtypeTensor, but received {t}"
+            )
+    else:
+        raise TypeError(
+            f"set_default_tensor_type only supports DtypeTensor or str, but received {t}"
+        )
+
+    set_default_dtype(t)
+
+
 def get_default_dtype() -> _DTypeLiteral:
     """
     Get the current default dtype. The default dtype is initially float32.

python/paddle/nn/functional/__init__.py

@@ -179,6 +179,7 @@
 conv_transpose1d = conv1d_transpose
 conv_transpose2d = conv2d_transpose
 conv_transpose3d = conv3d_transpose
+huber_loss = smooth_l1_loss
 multilabel_margin_loss = multi_label_margin_loss
 multilabel_soft_margin_loss = multi_label_soft_margin_loss
 __all__ = [
@@ -324,4 +325,5 @@
     "flash_attention_v3_varlen",
     'flash_attn_varlen_qkvpacked',
     'group_norm',
+    'huber_loss',
 ]

python/paddle/nn/functional/loss.py

@@ -21,7 +21,10 @@
 from paddle import _C_ops, base, in_dynamic_mode
 from paddle.static.nn.control_flow import Assert
 from paddle.utils import deprecated
-from paddle.utils.decorator_utils import legacy_reduction_decorator
+from paddle.utils.decorator_utils import (
+    ParamAliasDecorator,
+    legacy_reduction_decorator,
+)
 
 from ...base.data_feeder import check_type, check_variable_and_dtype
 from ...base.framework import (
@@ -2063,6 +2066,12 @@ def mse_loss(
         )
 
 
+@ParamAliasDecorator(
+    alias_mapping={
+        'labels': ['targets'],
+        'label_lengths': ['target_lengths'],
+    }
+)
 def ctc_loss(
     log_probs: Tensor,
     labels: Tensor,