zheng-da commented on a change in pull request #8302: Refactor operators & MKLDNN URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r155850103
########## File path: python/mxnet/ndarray/mkldnn.py ########## @@ -0,0 +1,113 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you 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. + +# coding: utf-8 +# pylint: disable=wildcard-import, unused-wildcard-import, too-many-lines + +"""MKLDNN NDArray API of MXNet.""" + +from __future__ import absolute_import +from __future__ import division +try: + from __builtin__ import slice as py_slice + from __builtin__ import sum as py_sum +except ImportError: + from builtins import slice as py_slice + from builtins import sum as py_sum + +import ctypes +import warnings + +__all__ = ["_ndarray_cls", "MKLNDArray"] + +import numpy as np +from ..base import _LIB, numeric_types +from ..base import c_array, mx_real_t, integer_types +from ..base import mx_uint, NDArrayHandle, check_call +from ..context import Context +from . import _internal +from . import op +from ._internal import _set_ndarray_class +from .ndarray import NDArray, _storage_type, _DTYPE_NP_TO_MX, _DTYPE_MX_TO_NP +from .ndarray import _STORAGE_TYPE_STR_TO_ID, _STORAGE_TYPE_MKLDNN +from .ndarray import _STORAGE_TYPE_UNDEFINED, _STORAGE_TYPE_DEFAULT +from .ndarray import zeros as _zeros_ndarray +from .ndarray import array as _array + +class MKLNDArray(NDArray): + """The base class of an NDArray stored in a MKLDNN storage format. + """ + + def __repr__(self): + """Returns a string representation of the sparse array.""" + shape_info = 'x'.join(['%d' % x for x in self.shape]) + # The data content is not displayed since the array usually has big shape + return '\n<%s %s @%s>' % (self.__class__.__name__, + shape_info, self.context) + + # TODO + def _at(self, idx): + raise NotSupportedForMKLNDArray(self._at, '[idx]', idx) + + def _slice(self, start, stop): + return op.slice(self, begin=start, end=stop) + + # TODO + def astype(self, dtype): + """Returns a copy of the array after casting to a specified type. + Parameters + ---------- + dtype : numpy.dtype or str + The type of the returned array. + Examples + -------- + >>> x = mx.nd.sparse.zeros('row_sparse', (2,3), dtype='float32') + >>> y = x.astype('int32') + >>> y.dtype + <type 'numpy.int32'> + """ + res = zeros(shape=self.shape, ctx=self.context, + dtype=dtype, stype=self.stype) + self.copyto(res) + return res + + # TODO + def copyto(self, other): + """Copies the value of this array to another array. + + Parameters + ---------- + other : NDArray or CSRNDArray or RowSparseNDArray or Context + The destination array or context. + + Returns + ------- + NDArray or CSRNDArray or RowSparseNDArray Review comment: conversion between mkldnn and sparse array doesn't work. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
