@@ -39,7 +39,6 @@ __all__ += [
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" dpnp_ediff1d" ,
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" dpnp_fabs" ,
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" dpnp_fmod" ,
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- " dpnp_gradient" ,
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" dpnp_fmax" ,
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" dpnp_fmin" ,
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" dpnp_modf" ,
@@ -123,36 +122,6 @@ cpdef utils.dpnp_descriptor dpnp_fmod(utils.dpnp_descriptor x1_obj,
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return call_fptr_2in_1out_strides(DPNP_FN_FMOD_EXT, x1_obj, x2_obj, dtype, out, where)
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- cpdef utils.dpnp_descriptor dpnp_gradient(utils.dpnp_descriptor y1, int dx = 1 ):
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-
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- cdef size_t size = y1.size
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-
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- y1_obj = y1.get_array()
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-
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- # create result array with type given by FPTR data
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- cdef shape_type_c result_shape = utils._object_to_tuple(size)
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- cdef utils.dpnp_descriptor result = utils_py.create_output_descriptor_py(result_shape,
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- dpnp.default_float_type(y1_obj.sycl_queue),
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- None ,
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- device = y1_obj.sycl_device,
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- usm_type = y1_obj.usm_type,
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- sycl_queue = y1_obj.sycl_queue)
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-
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- cdef double cur = (y1.get_pyobj()[1 ] - y1.get_pyobj()[0 ]) / dx
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-
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- result.get_pyobj().flat[0 ] = cur
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-
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- cur = (y1.get_pyobj()[- 1 ] - y1.get_pyobj()[- 2 ]) / dx
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-
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- result.get_pyobj().flat[size - 1 ] = cur
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-
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- for i in range (1 , size - 1 ):
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- cur = (y1.get_pyobj()[i + 1 ] - y1.get_pyobj()[i - 1 ]) / (2 * dx)
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- result.get_pyobj().flat[i] = cur
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-
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- return result
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-
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-
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cpdef utils.dpnp_descriptor dpnp_fmax(utils.dpnp_descriptor x1_obj,
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utils.dpnp_descriptor x2_obj,
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object dtype = None ,
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