docstr: Test inplace predict with different device and data types.
  
  The sklearn interface uses inplace predict by default and gbtree fallbacks to
  DMatrix whenever device doesn't match. This test checks that XGBoost can handle
  different combinations of device and input data type.
docstr_tok: ["Test","inplace","predict","with","different","device","and","data","types",".","The","sklearn","interface","uses","inplace","predict","by","default","and","gbtree","fallbacks","to","DMatrix","whenever","device","does","n't","match",".","This","test","checks","that","XGBoost","can","handle","different","combinations","of","device","and","input","data","type","."]
code: def test_inplace_predict_device_type(self, device: str) -> None:
      """Test inplace predict with different device and data types.
  
      The sklearn interface uses inplace predict by default and gbtree fallbacks to
      DMatrix whenever device doesn't match. This test checks that XGBoost can handle
      different combinations of device and input data type.
  
      """
      import cudf
      import cupy as cp
      import pandas as pd
      from scipy.sparse import csr_matrix
  
      reg = xgb.XGBRegressor(tree_method="hist", device=device)
      n_samples = 4096
      n_features = 13
      X, y, w = tm.make_regression(n_samples, n_features, use_cupy=True)
      X[X == 0.0] = 1.0
  
      reg.fit(X, y, sample_weight=w)
      predt_0 = reg.predict(X)
  
      X = cp.asnumpy(X)
      predt_1 = reg.predict(X)
  
      df = pd.DataFrame(X)
      predt_2 = reg.predict(df)
  
      df = cudf.DataFrame(X)
      predt_3 = reg.predict(df)
  
      X_csr = csr_matrix(X)
      predt_4 = reg.predict(X_csr)
  
      np.testing.assert_allclose(predt_0, predt_1)
      np.testing.assert_allclose(predt_0, predt_2)
      np.testing.assert_allclose(predt_0, predt_3)
      np.testing.assert_allclose(predt_0, predt_4)
  
imports: import sys
  from copy import copy
  import numpy
  import pytest
  from hypothesis import assume, given, settings, strategies
  import xgboost
  from xgboost import testing
  from xgboost.compat import PANDAS_INSTALLED
  from test_predict import run_predict_leaf
  from test_predict import run_threaded_predict
label_desc: Use image node_id 4 for calling the TestGPUPredict obj's underlying member method code with example usage: obj.test_inplace_predict_device_type(device) without return types