# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
try:
    from paddle.version import full_version as __version__
    from paddle.version import commit as __git_commit__
    from paddle.cuda_env import *  # noqa: F403
except ImportError:
    import sys

    sys.stderr.write(
        '''Warning with import paddle: you should not
     import paddle from the source directory; please install paddlepaddle*.whl firstly.'''
    )

from .batch import batch  # noqa: F401

# Do the *DUPLICATED* monkey-patch for the tensor object.
# We need remove the duplicated code here once we fix
# the illogical implement in the monkey-patch methods later.
from .framework import monkey_patch_variable
from .framework import monkey_patch_math_tensor

monkey_patch_variable()
monkey_patch_math_tensor()

from .framework import disable_signal_handler  # noqa: F401
from .framework import get_flags  # noqa: F401
from .framework import set_flags  # noqa: F401

from .framework import disable_static  # noqa: F401
from .framework import enable_static  # noqa: F401
from .framework import in_dynamic_mode  # noqa: F401
from .fluid.dataset import *  # noqa: F401, F403

from .framework.dtype import iinfo  # noqa: F401
from .framework.dtype import finfo  # noqa: F401
from .framework.dtype import dtype  # noqa: F401
from .framework.dtype import uint8  # noqa: F401
from .framework.dtype import int8  # noqa: F401
from .framework.dtype import int16  # noqa: F401
from .framework.dtype import int32  # noqa: F401
from .framework.dtype import int64  # noqa: F401
from .framework.dtype import float16  # noqa: F401
from .framework.dtype import float32  # noqa: F401
from .framework.dtype import float64  # noqa: F401
from .framework.dtype import bfloat16  # noqa: F401
from .framework.dtype import bool  # noqa: F401
from .framework.dtype import complex64  # noqa: F401
from .framework.dtype import complex128  # noqa: F401

Tensor = framework.core.eager.Tensor  # noqa: F401
Tensor.__qualname__ = 'Tensor'  # noqa: F401
import paddle.distributed  # noqa: F401
import paddle.sysconfig  # noqa: F401
import paddle.distribution  # noqa: F401
import paddle.nn  # noqa: F401
import paddle.distributed.fleet  # noqa: F401
import paddle.optimizer  # noqa: F401
import paddle.metric  # noqa: F401
import paddle.regularizer  # noqa: F401
import paddle.incubate  # noqa: F401
import paddle.autograd  # noqa: F401
import paddle.device  # noqa: F401
import paddle.decomposition  # noqa: F401

import paddle.jit  # noqa: F401
import paddle.amp  # noqa: F401
import paddle.dataset  # noqa: F401
import paddle.inference  # noqa: F401
import paddle.io  # noqa: F401
import paddle.onnx  # noqa: F401
import paddle.reader  # noqa: F401
import paddle.static  # noqa: F401
import paddle.vision  # noqa: F401
import paddle.audio  # noqa: F401
import paddle.geometric  # noqa: F401
import paddle.sparse  # noqa: F401
import paddle.quantization  # noqa: F401

from .tensor.attribute import is_complex  # noqa: F401
from .tensor.attribute import is_integer  # noqa: F401
from .tensor.attribute import rank  # noqa: F401
from .tensor.attribute import shape  # noqa: F401
from .tensor.attribute import real  # noqa: F401
from .tensor.attribute import imag  # noqa: F401
from .tensor.attribute import is_floating_point  # noqa: F401
from .tensor.creation import create_parameter  # noqa: F401
from .tensor.creation import to_tensor  # noqa: F401
from .tensor.creation import diag  # noqa: F401
from .tensor.creation import diagflat  # noqa: F401
from .tensor.creation import eye  # noqa: F401
from .tensor.creation import linspace  # noqa: F401
from .tensor.creation import logspace  # noqa: F401
from .tensor.creation import ones  # noqa: F401
from .tensor.creation import ones_like  # noqa: F401
from .tensor.creation import zeros  # noqa: F401
from .tensor.creation import zeros_like  # noqa: F401
from .tensor.creation import arange  # noqa: F401
from .tensor.creation import full  # noqa: F401
from .tensor.creation import full_like  # noqa: F401
from .tensor.creation import triu  # noqa: F401
from .tensor.creation import triu_  # noqa: F401
from .tensor.creation import tril  # noqa: F401
from .tensor.creation import tril_  # noqa: F401
from .tensor.creation import meshgrid  # noqa: F401
from .tensor.creation import empty  # noqa: F401
from .tensor.creation import empty_like  # noqa: F401
from .tensor.creation import assign  # noqa: F401
from .tensor.creation import complex  # noqa: F401
from .tensor.creation import clone  # noqa: F401
from .tensor.creation import tril_indices  # noqa: F401
from .tensor.creation import triu_indices  # noqa: F401
from .tensor.creation import polar  # noqa: F401
from .tensor.linalg import matmul  # noqa: F401
from .tensor.linalg import dot  # noqa: F401
from .tensor.linalg import norm  # noqa: F401
from .tensor.linalg import transpose  # noqa: F401
from .tensor.linalg import dist  # noqa: F401
from .tensor.linalg import t  # noqa: F401
from .tensor.linalg import cdist  # noqa: F401
from .tensor.linalg import cross  # noqa: F401
from .tensor.linalg import cholesky  # noqa: F401
from .tensor.linalg import bmm  # noqa: F401
from .tensor.linalg import histogram  # noqa: F401
from .tensor.linalg import bincount  # noqa: F401
from .tensor.linalg import mv  # noqa: F401
from .tensor.logic import equal  # noqa: F401
from .tensor.logic import equal_  # noqa: F401
from .tensor.linalg import eigvalsh  # noqa: F401
from .tensor.logic import greater_equal  # noqa: F401
from .tensor.logic import greater_equal_  # noqa: F401
from .tensor.logic import greater_than  # noqa: F401
from .tensor.logic import greater_than_  # noqa: F401
from .tensor.logic import is_empty  # noqa: F401
from .tensor.logic import less_equal  # noqa: F401
from .tensor.logic import less_equal_  # noqa: F401
from .tensor.logic import less_than  # noqa: F401
from .tensor.logic import less_than_  # noqa: F401
from .tensor.logic import logical_and  # noqa: F401
from .tensor.logic import logical_and_  # noqa: F401
from .tensor.logic import logical_not  # noqa: F401
from .tensor.logic import logical_not_  # noqa: F401
from .tensor.logic import logical_or  # noqa: F401
from .tensor.logic import logical_or_  # noqa: F401
from .tensor.logic import logical_xor  # noqa: F401
from .tensor.logic import logical_xor_  # noqa: F401
from .tensor.logic import bitwise_and  # noqa: F401
from .tensor.logic import bitwise_and_  # noqa: F401
from .tensor.logic import bitwise_not  # noqa: F401
from .tensor.logic import bitwise_not_  # noqa: F401
from .tensor.logic import bitwise_or  # noqa: F401
from .tensor.logic import bitwise_or_  # noqa: F401
from .tensor.logic import bitwise_xor  # noqa: F401
from .tensor.logic import bitwise_xor_  # noqa: F401
from .tensor.logic import not_equal  # noqa: F401
from .tensor.logic import not_equal_  # noqa: F401
from .tensor.logic import allclose  # noqa: F401
from .tensor.logic import isclose  # noqa: F401
from .tensor.logic import equal_all  # noqa: F401
from .tensor.logic import is_tensor  # noqa: F401
from .tensor.manipulation import cast  # noqa: F401
from .tensor.manipulation import cast_  # noqa: F401
from .tensor.manipulation import concat  # noqa: F401
from .tensor.manipulation import broadcast_tensors  # noqa: F401
from .tensor.manipulation import expand  # noqa: F401
from .tensor.manipulation import broadcast_to  # noqa: F401
from .tensor.manipulation import expand_as  # noqa: F401
from .tensor.manipulation import tile  # noqa: F401
from .tensor.manipulation import flatten  # noqa: F401
from .tensor.manipulation import gather  # noqa: F401
from .tensor.manipulation import gather_nd  # noqa: F401
from .tensor.manipulation import reshape  # noqa: F401
from .tensor.manipulation import reshape_  # noqa: F401
from .tensor.manipulation import flip as reverse  # noqa: F401
from .tensor.manipulation import scatter  # noqa: F401
from .tensor.manipulation import scatter_  # noqa: F401
from .tensor.manipulation import scatter_nd_add  # noqa: F401
from .tensor.manipulation import scatter_nd  # noqa: F401
from .tensor.manipulation import shard_index  # noqa: F401
from .tensor.manipulation import slice  # noqa: F401
from .tensor.manipulation import crop  # noqa: F401
from .tensor.manipulation import split  # noqa: F401
from .tensor.manipulation import vsplit  # noqa: F401
from .tensor.manipulation import squeeze  # noqa: F401
from .tensor.manipulation import squeeze_  # noqa: F401
from .tensor.manipulation import stack  # noqa: F401
from .tensor.manipulation import strided_slice  # noqa: F401
from .tensor.manipulation import unique  # noqa: F401
from .tensor.manipulation import unique_consecutive  # noqa: F401
from .tensor.manipulation import unsqueeze  # noqa: F401
from .tensor.manipulation import unsqueeze_  # noqa: F401
from .tensor.manipulation import unstack  # noqa: F401
from .tensor.manipulation import flip  # noqa: F401
from .tensor.manipulation import rot90  # noqa: F401
from .tensor.manipulation import unbind  # noqa: F401
from .tensor.manipulation import roll  # noqa: F401
from .tensor.manipulation import chunk  # noqa: F401
from .tensor.manipulation import tolist  # noqa: F401
from .tensor.manipulation import take_along_axis  # noqa: F401
from .tensor.manipulation import put_along_axis  # noqa: F401
from .tensor.manipulation import tensordot  # noqa: F401
from .tensor.manipulation import as_complex  # noqa: F401
from .tensor.manipulation import as_real  # noqa: F401
from .tensor.manipulation import moveaxis  # noqa: F401
from .tensor.manipulation import repeat_interleave  # noqa: F401
from .tensor.manipulation import index_add  # noqa: F401
from .tensor.manipulation import index_add_  # noqa: F401
from .tensor.manipulation import index_put  # noqa: F401
from .tensor.manipulation import index_put_  # noqa: F401
from .tensor.manipulation import unflatten  # noqa: F401
from .tensor.manipulation import as_strided  # noqa: F401
from .tensor.manipulation import view  # noqa: F401
from .tensor.manipulation import view_as  # noqa: F401
from .tensor.manipulation import unfold  # noqa: F401
from .tensor.math import abs  # noqa: F401
from .tensor.math import abs_  # noqa: F401
from .tensor.math import acos  # noqa: F401
from .tensor.math import acos_  # noqa: F401
from .tensor.math import asin  # noqa: F401
from .tensor.math import asin_  # noqa: F401
from .tensor.math import atan  # noqa: F401
from .tensor.math import atan_  # noqa: F401
from .tensor.math import atan2  # noqa: F401
from .tensor.math import ceil  # noqa: F401
from .tensor.math import cos  # noqa: F401
from .tensor.math import cos_  # noqa: F401
from .tensor.math import tan  # noqa: F401
from .tensor.math import tan_  # noqa: F401
from .tensor.math import cosh  # noqa: F401
from .tensor.math import cosh_  # noqa: F401
from .tensor.math import cumsum  # noqa: F401
from .tensor.math import cumsum_  # noqa: F401
from .tensor.math import cummax  # noqa: F401
from .tensor.math import cummin  # noqa: F401
from .tensor.math import cumprod  # noqa: F401
from .tensor.math import cumprod_  # noqa: F401
from .tensor.math import logcumsumexp  # noqa: F401
from .tensor.math import logit  # noqa: F401
from .tensor.math import logit_  # noqa: F401
from .tensor.math import exp  # noqa: F401
from .tensor.math import expm1  # noqa: F401
from .tensor.math import expm1_  # noqa: F401
from .tensor.math import floor  # noqa: F401
from .tensor.math import increment  # noqa: F401
from .tensor.math import log  # noqa: F401
from .tensor.math import log_  # noqa: F401
from .tensor.math import log2_  # noqa: F401
from .tensor.math import log2  # noqa: F401
from .tensor.math import log10  # noqa: F401
from .tensor.math import log10_  # noqa: F401
from .tensor.math import multiplex  # noqa: F401
from .tensor.math import pow  # noqa: F401
from .tensor.math import pow_  # noqa: F401
from .tensor.math import reciprocal  # noqa: F401
from .tensor.math import all  # noqa: F401
from .tensor.math import any  # noqa: F401
from .tensor.math import round  # noqa: F401
from .tensor.math import rsqrt  # noqa: F401
from .tensor.math import scale  # noqa: F401
from .tensor.math import sign  # noqa: F401
from .tensor.math import sin  # noqa: F401
from .tensor.math import sin_  # noqa: F401
from .tensor.math import sinh  # noqa: F401
from .tensor.math import sinh_  # noqa: F401
from .tensor.math import sqrt  # noqa: F401
from .tensor.math import square  # noqa: F401
from .tensor.math import square_  # noqa: F401
from .tensor.math import stanh  # noqa: F401
from .tensor.math import sum  # noqa: F401
from .tensor.math import nan_to_num  # noqa: F401
from .tensor.math import nan_to_num_  # noqa: F401
from .tensor.math import nansum  # noqa: F401
from .tensor.math import nanmean  # noqa: F401
from .tensor.math import count_nonzero  # noqa: F401
from .tensor.math import tanh  # noqa: F401
from .tensor.math import tanh_  # noqa: F401
from .tensor.math import add_n  # noqa: F401
from .tensor.math import max  # noqa: F401
from .tensor.math import maximum  # noqa: F401
from .tensor.math import amax  # noqa: F401
from .tensor.math import min  # noqa: F401
from .tensor.math import minimum  # noqa: F401
from .tensor.math import amin  # noqa: F401
from .tensor.math import mm  # noqa: F401
from .tensor.math import divide  # noqa: F401
from .tensor.math import divide_  # noqa: F401
from .tensor.math import floor_divide  # noqa: F401
from .tensor.math import floor_divide_  # noqa: F401
from .tensor.math import remainder  # noqa: F401
from .tensor.math import remainder_  # noqa: F401
from .tensor.math import mod  # noqa: F401
from .tensor.math import mod_  # noqa: F401
from .tensor.math import floor_mod  # noqa: F401
from .tensor.math import floor_mod_  # noqa: F401
from .tensor.math import multiply  # noqa: F401
from .tensor.math import multiply_  # noqa: F401
from .tensor.math import renorm  # noqa: F401
from .tensor.math import renorm_  # noqa: F401
from .tensor.math import add  # noqa: F401
from .tensor.math import subtract  # noqa: F401
from .tensor.math import logsumexp  # noqa: F401
from .tensor.math import logaddexp  # noqa: F401
from .tensor.math import inverse  # noqa: F401
from .tensor.math import log1p  # noqa: F401
from .tensor.math import log1p_  # noqa: F401
from .tensor.math import erf  # noqa: F401
from .tensor.math import erf_  # noqa: F401
from .tensor.math import addmm  # noqa: F401
from .tensor.math import addmm_  # noqa: F401
from .tensor.math import clip  # noqa: F401
from .tensor.math import trace  # noqa: F401
from .tensor.math import diagonal  # noqa: F401
from .tensor.math import kron  # noqa: F401
from .tensor.math import isfinite  # noqa: F401
from .tensor.math import isinf  # noqa: F401
from .tensor.math import isnan  # noqa: F401
from .tensor.math import prod  # noqa: F401
from .tensor.math import broadcast_shape  # noqa: F401
from .tensor.math import conj  # noqa: F401
from .tensor.math import trunc  # noqa: F401
from .tensor.math import trunc_  # noqa: F401
from .tensor.math import digamma  # noqa: F401
from .tensor.math import digamma_  # noqa: F401
from .tensor.math import neg  # noqa: F401
from .tensor.math import neg_  # noqa: F401
from .tensor.math import lgamma  # noqa: F401
from .tensor.math import lgamma_  # noqa: F401
from .tensor.math import acosh  # noqa: F401
from .tensor.math import acosh_  # noqa: F401
from .tensor.math import asinh  # noqa: F401
from .tensor.math import asinh_  # noqa: F401
from .tensor.math import atanh  # noqa: F401
from .tensor.math import atanh_  # noqa: F401
from .tensor.math import lerp  # noqa: F401
from .tensor.math import erfinv  # noqa: F401
from .tensor.math import rad2deg  # noqa: F401
from .tensor.math import deg2rad  # noqa: F401
from .tensor.math import gcd  # noqa: F401
from .tensor.math import gcd_  # noqa: F401
from .tensor.math import lcm  # noqa: F401
from .tensor.math import lcm_  # noqa: F401
from .tensor.math import diff  # noqa: F401
from .tensor.math import angle  # noqa: F401
from .tensor.math import fmax  # noqa: F401
from .tensor.math import fmin  # noqa: F401
from .tensor.math import inner  # noqa: F401
from .tensor.math import outer  # noqa: F401
from .tensor.math import heaviside  # noqa: F401
from .tensor.math import frac  # noqa: F401
from .tensor.math import frac_  # noqa: F401
from .tensor.math import sgn  # noqa: F401
from .tensor.math import take  # noqa: F401
from .tensor.math import frexp  # noqa: F401
from .tensor.math import ldexp  # noqa: F401
from .tensor.math import ldexp_  # noqa: F401
from .tensor.math import trapezoid  # noqa: F401
from .tensor.math import cumulative_trapezoid  # noqa: F401
from .tensor.math import vander  # noqa: F401
from .tensor.math import nextafter  # noqa: F401
from .tensor.math import i0  # noqa: F401
from .tensor.math import i0_  # noqa: F401
from .tensor.math import i0e  # noqa: F401
from .tensor.math import i1  # noqa: F401
from .tensor.math import i1e  # noqa: F401
from .tensor.math import polygamma  # noqa: F401
from .tensor.math import polygamma_  # noqa: F401

from .tensor.random import bernoulli  # noqa: F401
from .tensor.random import poisson  # noqa: F401
from .tensor.random import multinomial  # noqa: F401
from .tensor.random import standard_normal  # noqa: F401
from .tensor.random import normal  # noqa: F401
from .tensor.random import uniform  # noqa: F401
from .tensor.random import randn  # noqa: F401
from .tensor.random import rand  # noqa: F401
from .tensor.random import randint  # noqa: F401
from .tensor.random import randint_like  # noqa: F401
from .tensor.random import randperm  # noqa: F401
from .tensor.search import argmax  # noqa: F401
from .tensor.search import argmin  # noqa: F401
from .tensor.search import argsort  # noqa: F401
from .tensor.search import searchsorted  # noqa: F401
from .tensor.search import bucketize  # noqa: F401
from .tensor.search import masked_select  # noqa: F401
from .tensor.search import topk  # noqa: F401
from .tensor.search import where  # noqa: F401
from .tensor.search import where_  # noqa: F401
from .tensor.search import index_select  # noqa: F401
from .tensor.search import nonzero  # noqa: F401
from .tensor.search import sort  # noqa: F401
from .tensor.search import kthvalue  # noqa: F401
from .tensor.search import mode  # noqa: F401

from .tensor.to_string import set_printoptions  # noqa: F401

from .tensor.einsum import einsum  # noqa: F401

from .framework.random import seed  # noqa: F401
from .framework.random import get_cuda_rng_state  # noqa: F401
from .framework.random import set_cuda_rng_state  # noqa: F401
from .framework.random import get_rng_state  # noqa: F401
from .framework.random import set_rng_state  # noqa: F401
from .framework import ParamAttr  # noqa: F401
from .framework import CPUPlace  # noqa: F401
from .framework import IPUPlace  # noqa: F401
from .framework import CUDAPlace  # noqa: F401
from .framework import CUDAPinnedPlace  # noqa: F401
from .framework import CustomPlace  # noqa: F401
from .framework import XPUPlace  # noqa: F401

from .autograd import grad  # noqa: F401
from .autograd import no_grad  # noqa: F401
from .autograd import enable_grad  # noqa:F401
from .autograd import set_grad_enabled  # noqa: F401
from .autograd import is_grad_enabled  # noqa: F401
from .framework import save  # noqa: F401
from .framework import load  # noqa: F401
from .distributed import DataParallel  # noqa: F401

from .framework import set_default_dtype  # noqa: F401
from .framework import get_default_dtype  # noqa: F401

from .tensor.search import index_sample  # noqa: F401
from .tensor.stat import mean  # noqa: F401
from .tensor.stat import std  # noqa: F401
from .tensor.stat import var  # noqa: F401
from .tensor.stat import numel  # noqa: F401
from .tensor.stat import median  # noqa: F401
from .tensor.stat import nanmedian  # noqa: F401
from .tensor.stat import quantile  # noqa: F401
from .tensor.stat import nanquantile  # noqa: F401
from .device import get_cudnn_version  # noqa: F401
from .device import set_device  # noqa: F401
from .device import get_device  # noqa: F401
from .device import is_compiled_with_xpu  # noqa: F401
from .device import is_compiled_with_ipu  # noqa: F401
from .device import is_compiled_with_cinn  # noqa: F401
from .device import is_compiled_with_cuda  # noqa: F401
from .device import is_compiled_with_rocm  # noqa: F401
from .device import is_compiled_with_custom_device  # noqa: F401

# high-level api
from .hapi import Model  # noqa: F401
from . import callbacks  # noqa: F401
from .hapi import summary  # noqa: F401
from .hapi import flops  # noqa: F401
from . import hub  # noqa: F401
from . import linalg  # noqa: F401
from . import fft  # noqa: F401
from . import signal  # noqa: F401
from . import _ir_ops  # noqa: F401

import paddle.text  # noqa: F401
import paddle.vision  # noqa: F401

from .tensor.random import check_shape  # noqa: F401
from .nn.initializer.lazy_init import LazyGuard  # noqa: F401

# CINN has to set a flag to include a lib
if is_compiled_with_cinn():
    import os

    package_dir = os.path.dirname(os.path.abspath(__file__))
    runtime_include_dir = os.path.join(package_dir, "libs")
    cuh_file = os.path.join(runtime_include_dir, "cinn_cuda_runtime_source.cuh")
    if os.path.exists(cuh_file):
        os.environ.setdefault('runtime_include_dir', runtime_include_dir)

disable_static()

from .new_ir_utils import IrGuard  # noqa: F401

ir_change = IrGuard()
ir_change._switch_to_new_ir()

__all__ = [  # noqa
    'iinfo',
    'finfo',
    'dtype',
    'uint8',
    'int8',
    'int16',
    'int32',
    'int64',
    'float16',
    'float32',
    'float64',
    'bfloat16',
    'bool',
    'complex64',
    'complex128',
    'addmm',
    'addmm_',
    'allclose',
    'isclose',
    't',
    'add',
    'subtract',
    'diag',
    'diagflat',
    'isnan',
    'scatter_nd_add',
    'unstack',
    'get_default_dtype',
    'save',
    'multinomial',
    'get_cuda_rng_state',
    'get_rng_state',
    'rank',
    'empty_like',
    'eye',
    'cumsum',
    'cumsum_',
    'cummax',
    'cummin',
    'cumprod',
    'cumprod_',
    'logaddexp',
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    'polygamma',
    'polygamma_',
]