Merge branch 'master' into gold/2021

Author: Alexander-Makaryev

conda-recipe/meta.yaml

@@ -8,8 +8,7 @@ requirements:
     host:
       - python
       - setuptools
-      - numpy >=1.15                    # [win or osx or py>=38]
-      - numpy 1.17                      # [linux and py==37]
+      - numpy 1.19.5
       - cython
       - cmake 3.19
       - dpctl >=0.10

dpnp/backend/kernels/dpnp_krnl_common.cpp

@@ -567,9 +567,9 @@ void dpnp_matmul_c(void* result_out,
     }
 
     cl::sycl::event event;
-    DPNPC_ptr_adapter<_DataType> input1_ptr(input1_in, size_m * size_k, true);
-    DPNPC_ptr_adapter<_DataType> input2_ptr(input2_in, size_k * size_n, true);
-    DPNPC_ptr_adapter<_DataType> result_ptr(result_out, size_m * size_n, true, true);
+    DPNPC_ptr_adapter<_DataType> input1_ptr(input1_in, size_m * size_k);
+    DPNPC_ptr_adapter<_DataType> input2_ptr(input2_in, size_k * size_n);
+    DPNPC_ptr_adapter<_DataType> result_ptr(result_out, size_m * size_n, false, true);
     _DataType* array_1 = input1_ptr.get_ptr();
     _DataType* array_2 = input2_ptr.get_ptr();
     _DataType* result = result_ptr.get_ptr();

dpnp/dpnp_array.py

@@ -414,7 +414,19 @@ def conjugate(self):
  # 'copy',
  # 'ctypes',
  # 'cumprod',
- # 'cumsum',
+
+    def cumsum(self, axis=None, dtype=None, out=None):
+        """
+        Return the cumulative sum of the elements along the given axis.
+
+        See Also
+        --------
+        :obj:`dpnp.cumsum`
+
+        """
+
+        return dpnp.cumsum(self, axis=axis, dtype=dtype, out=out)
+
  # 'data',
 
     def diagonal(input, offset=0, axis1=0, axis2=1):
@@ -586,7 +598,19 @@ def ndim(self):
  # 'newbyteorder',
  # 'nonzero',
  # 'partition',
- # 'prod',
+
+    def prod(self, axis=None, dtype=None, out=None, keepdims=False, initial=None, where=True):
+        """
+        Returns the prod along a given axis.
+
+        .. seealso::
+           :obj:`dpnp.prod` for full documentation,
+           :meth:`dpnp.dparray.sum`
+
+        """
+
+        return dpnp.prod(self, axis, dtype, out, keepdims, initial, where)
+
  # 'ptp',
  # 'put',
  # 'ravel',
@@ -722,7 +746,17 @@ def sum(self, axis=None, dtype=None, out=None, keepdims=False, initial=0, where=
         return dpnp.sum(self, axis, dtype, out, keepdims, initial, where)
 
  # 'swapaxes',
- # 'take',
+
+    def take(self, indices, axis=None, out=None, mode='raise'):
+        """
+        Take elements from an array.
+
+        For full documentation refer to :obj:`numpy.take`.
+
+        """
+
+        return dpnp.take(self, indices, axis, out, mode)
+
  # 'tobytes',
  # 'tofile',
  # 'tolist',

dpnp/dpnp_iface.py

@@ -211,7 +211,9 @@ def get_dpnp_descriptor(ext_obj, copy_when_strides=True):
     # then this behavior can be disabled with setting "copy_when_strides"
     if copy_when_strides and getattr(ext_obj, "strides", None) is not None:
         # TODO: replace this workaround when usm_ndarray will provide such functionality
-        ext_obj = array(ext_obj)
+        shape_offsets = tuple(numpy.prod(ext_obj.shape[i+1:], dtype=numpy.int64) for i in range(ext_obj.ndim))
+        if ext_obj.strides != shape_offsets:
+            ext_obj = array(ext_obj)
 
     dpnp_desc = dpnp_descriptor(ext_obj)
     if dpnp_desc.is_valid:

dpnp/random/dpnp_iface_random.py

@@ -1302,7 +1302,7 @@ def shuffle(x1):
 
     """
 
-    x1_desc = dpnp.get_dpnp_descriptor(x1)
+    x1_desc = dpnp.get_dpnp_descriptor(x1, copy_when_strides=False)
     if x1_desc:
         if not dpnp.is_type_supported(x1_desc.dtype):
             pass

tests/skipped_tests.tbl

@@ -546,9 +546,6 @@ tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_diago
 tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_diagonal_negative3
 tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_diagonal_negative4
 tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_diagonal_negative5
-tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_take_by_array
-tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_take_by_scalar
-tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_take_no_axis
 tests/third_party/cupy/indexing_tests/test_insert.py::TestDiagIndicesFromRaises_param_4_{shape=(-1,)}::test_non_equal_dims
 tests/third_party/cupy/indexing_tests/test_insert.py::TestFillDiagonal_param_0_{shape=(3, 3), val=1, wrap=True}::test_columnar_slice
 tests/third_party/cupy/indexing_tests/test_insert.py::TestFillDiagonal_param_11_{shape=(2, 2, 2), val=0, wrap=False}::test_1darray
@@ -893,9 +890,6 @@ tests/third_party/cupy/math_tests/test_rounding.py::TestRoundExtreme_param_6_{de
 tests/third_party/cupy/math_tests/test_rounding.py::TestRounding::test_fix
 tests/third_party/cupy/math_tests/test_rounding.py::TestRounding::test_rint
 tests/third_party/cupy/math_tests/test_rounding.py::TestRounding::test_rint_negative
-tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_prod_all
-tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_prod_axis
-tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_prod_dtype
 tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_sum_all
 tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_sum_all2
 tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_sum_all_keepdims
@@ -919,9 +913,6 @@ tests/third_party/cupy/math_tests/test_sumprod.py::TestCumprod::test_ndarray_cum
 tests/third_party/cupy/math_tests/test_sumprod.py::TestDiff::test_diff_1dim
 tests/third_party/cupy/math_tests/test_sumprod.py::TestDiff::test_diff_1dim_with_n
 tests/third_party/cupy/math_tests/test_sumprod.py::TestDiff::test_diff_2dim_without_axis
-tests/third_party/cupy/math_tests/test_sumprod.py::TestCumsum_param_0_{axis=0}::test_ndarray_cumsum_axis
-tests/third_party/cupy/math_tests/test_sumprod.py::TestCumsum_param_1_{axis=1}::test_ndarray_cumsum_axis
-tests/third_party/cupy/math_tests/test_sumprod.py::TestCumsum_param_2_{axis=2}::test_ndarray_cumsum_axis
 tests/third_party/cupy/math_tests/test_sumprod.py::TestCumprod::test_cumprod_arraylike
 tests/third_party/cupy/math_tests/test_sumprod.py::TestCumprod::test_cumprod_huge_array
 tests/third_party/cupy/math_tests/test_sumprod.py::TestCumprod::test_cumprod_numpy_array

tests/skipped_tests_gpu.tbl

@@ -1,3 +1,6 @@
+tests/test_random.py::TestPermutationsTestShuffle::test_shuffle1[lambda x: dpnp.asarray([[i, i] for i in x])]
+tests/third_party/cupy/indexing_tests/test_indexing.py::TestChoose::test_choose
+
 tests/test_arraymanipulation.py::TestConcatenate::test_concatenate
 tests/test_histograms.py::TestHistogram::test_density
 tests/test_indexing.py::test_take_along_axis
@@ -709,9 +712,6 @@ tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_diago
 tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_diagonal_negative3
 tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_diagonal_negative4
 tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_diagonal_negative5
-tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_take_by_array
-tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_take_by_scalar
-tests/third_party/cupy/indexing_tests/test_indexing.py::TestIndexing::test_take_no_axis
 tests/third_party/cupy/indexing_tests/test_insert.py::TestDiagIndicesFromRaises_param_4_{shape=(-1,)}::test_non_equal_dims
 tests/third_party/cupy/indexing_tests/test_insert.py::TestFillDiagonal_param_0_{shape=(3, 3), val=1, wrap=True}::test_columnar_slice
 tests/third_party/cupy/indexing_tests/test_insert.py::TestFillDiagonal_param_11_{shape=(2, 2, 2), val=0, wrap=False}::test_1darray
@@ -1068,9 +1068,6 @@ tests/third_party/cupy/math_tests/test_rounding.py::TestRoundExtreme_param_6_{de
 tests/third_party/cupy/math_tests/test_rounding.py::TestRounding::test_fix
 tests/third_party/cupy/math_tests/test_rounding.py::TestRounding::test_rint
 tests/third_party/cupy/math_tests/test_rounding.py::TestRounding::test_rint_negative
-tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_prod_all
-tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_prod_axis
-tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_prod_dtype
 tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_sum_all_transposed
 tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_sum_all_transposed2
 tests/third_party/cupy/math_tests/test_sumprod.py::TestSumprod::test_sum_axes
@@ -1091,9 +1088,6 @@ tests/third_party/cupy/math_tests/test_sumprod.py::TestCumprod::test_ndarray_cum
 tests/third_party/cupy/math_tests/test_sumprod.py::TestDiff::test_diff_1dim
 tests/third_party/cupy/math_tests/test_sumprod.py::TestDiff::test_diff_1dim_with_n
 tests/third_party/cupy/math_tests/test_sumprod.py::TestDiff::test_diff_2dim_without_axis
-tests/third_party/cupy/math_tests/test_sumprod.py::TestCumsum_param_0_{axis=0}::test_ndarray_cumsum_axis
-tests/third_party/cupy/math_tests/test_sumprod.py::TestCumsum_param_1_{axis=1}::test_ndarray_cumsum_axis
-tests/third_party/cupy/math_tests/test_sumprod.py::TestCumsum_param_2_{axis=2}::test_ndarray_cumsum_axis
 tests/third_party/cupy/math_tests/test_sumprod.py::TestCumprod::test_cumprod_arraylike
 tests/third_party/cupy/math_tests/test_sumprod.py::TestCumprod::test_cumprod_huge_array
 tests/third_party/cupy/math_tests/test_sumprod.py::TestCumprod::test_cumprod_numpy_array