forked from mindspore-Ecosystem/mindspore
!1243 random choice with mask
Merge pull request !1243 from wuxuejian/wxj_rcwm
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75f4c598b0
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@ -407,7 +407,11 @@ AbstractBasePtr InferImplDropoutGenMask(const AnalysisEnginePtr &, const Primiti
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}
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// convert to bytes(8 bits) mask, using round up
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int bytes_count = (count + 7) / 8;
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int n128s = count / 128;
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if ((count % 128) != 0) {
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n128s++;
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}
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int bytes_count = n128s * 16;
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std::vector<int> shape_y{bytes_count};
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primitive->set_attr("T", kInt32);
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@ -23,3 +23,4 @@ from .reshape import _reshape_aicpu
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from .flatten import _flatten_aicpu
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from .squeeze import _squeeze_aicpu
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from .expand_dims import _expand_dims_aicpu
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from .random_choice_with_mask import _random_choice_with_mask_aicpu
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@ -0,0 +1,33 @@
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# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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"""RandomChoiceWithMask op"""
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from mindspore.ops.op_info_register import op_info_register, AiCPURegOp, DataType
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random_choice_with_mask_op_info = AiCPURegOp("RandomChoiceWithMask") \
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.fusion_type("OPAQUE") \
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.input(0, "x", "required") \
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.output(0, "y", "required") \
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.output(1, "mask", "required") \
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.attr("count", "int") \
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.attr("seed", "int") \
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.attr("seed2", "int") \
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.dtype_format(DataType.BOOL_NCHW, DataType.I32_NCHW, DataType.BOOL_NCHW) \
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.get_op_info()
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@op_info_register(random_choice_with_mask_op_info)
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def _random_choice_with_mask_aicpu():
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"""RandomChoiceWithMask AiCPU register"""
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return
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