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!4213 resize_nearest and bbox 

Merge pull request !4213 from fangzehua/resize_near
This commit is contained in:
mindspore-ci-bot 2020-08-11 15:14:46 +08:00 committed by Gitee
parent 50bf46d4a6 abdd44dcf3
commit f92735d14a
5 changed files with 10 additions and 59 deletions
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4
mindspore/ops/_op_impl/tbe/__init__.py
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@ -177,8 +177,8 @@ from .lamb_update_with_lr import _lamb_update_with_lr_tbe
from .rsqrt import _rsqrt_tbe
from .sigmoid import _sigmoid_tbe
from .sigmoid_grad import _sigmoid_grad_tbe
from .resize_nearest_neighbor_d import _resize_nearest_neighbor_d_tbe
from .resize_nearest_neighbor_grad_d import _resize_nearest_neighbor_grad_d_tbe
from .resize_nearest_neighbor import _resize_nearest_neighbor_tbe
from .resize_nearest_neighbor_grad import _resize_nearest_neighbor_grad_tbe
from .pad_d import _pad_d_tbe
from .arg_max_with_value import _arg_max_with_value_tbe
from .arg_min_with_value import _arg_min_with_value_tbe

10
mindspore/ops/_op_impl/tbe/resize_nearest_neighbor.py
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@ -27,20 +27,12 @@ resize_nearest_neighbor_op_info = TBERegOp("ResizeNearestNeighbor") \
.attr("align_corners", "optional", "bool", "all") \
.input(0, "images", False, "required", "all") \
.output(0, "y", True, "required", "all") \
.dtype_format(DataType.I8_Default, DataType.I8_Default) \
.dtype_format(DataType.I8_5HD, DataType.I8_5HD) \
.dtype_format(DataType.U8_Default, DataType.U8_Default) \
.dtype_format(DataType.U8_5HD, DataType.U8_5HD) \
.dtype_format(DataType.I32_Default, DataType.I32_Default) \
.dtype_format(DataType.I32_5HD, DataType.I32_5HD) \
.dtype_format(DataType.F16_Default, DataType.F16_Default) \
.dtype_format(DataType.F16_5HD, DataType.F16_5HD) \
.dtype_format(DataType.F32_Default, DataType.F32_Default) \
.dtype_format(DataType.F32_5HD, DataType.F32_5HD) \
.get_op_info()
@op_info_register(resize_nearest_neighbor_op_info)
def _resize_nearest_neighbor_d_tbe():
def _resize_nearest_neighbor_tbe():
"""ResizeNearestNeighbor TBE register"""
return

41
mindspore/ops/_op_impl/tbe/resize_nearest_neighbor_d.py
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@ -1,41 +0,0 @@
# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed 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.
# ============================================================================
"""ResizeNearestNeighbor op"""
from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
resize_nearest_neighbor_d_op_info = TBERegOp("ResizeNearestNeighbor") \
.fusion_type("OPAQUE") \
.async_flag(False) \
.binfile_name("resize_nearest_neighbor_d.so") \
.compute_cost(10) \
.kernel_name("resize_nearest_neighbor_d") \
.partial_flag(True) \
.attr("size", "required", "listInt", "all") \
.attr("align_corners", "optional", "bool", "all") \
.input(0, "images", False, "required", "all") \
.output(0, "y", True, "required", "all") \
.dtype_format(DataType.I8_5HD, DataType.I8_5HD) \
.dtype_format(DataType.U8_5HD, DataType.U8_5HD) \
.dtype_format(DataType.I32_5HD, DataType.I32_5HD) \
.dtype_format(DataType.F16_5HD, DataType.F16_5HD) \
.dtype_format(DataType.F32_5HD, DataType.F32_5HD) \
.get_op_info()
@op_info_register(resize_nearest_neighbor_d_op_info)
def _resize_nearest_neighbor_d_tbe():
"""ResizeNearestNeighbor TBE register"""
return

6
mindspore/ops/_op_impl/tbe/resize_nearest_neighbor_grad_d.py → mindspore/ops/_op_impl/tbe/resize_nearest_neighbor_grad.py
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@ -16,7 +16,7 @@
"""ResizeNearestNeighborgrad op"""
from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
resize_nearest_neighbor_grad_d_op_info = TBERegOp("ResizeNearestNeighborGrad") \
resize_nearest_neighbor_grad_op_info = TBERegOp("ResizeNearestNeighborGrad") \
.fusion_type("OPAQUE") \
.async_flag(False) \
.binfile_name("resize_nearest_neighbor_grad_d.so") \
@ -31,7 +31,7 @@ resize_nearest_neighbor_grad_d_op_info = TBERegOp("ResizeNearestNeighborGrad") \
.get_op_info()
@op_info_register(resize_nearest_neighbor_grad_d_op_info)
def _resize_nearest_neighbor_grad_d_tbe():
@op_info_register(resize_nearest_neighbor_grad_op_info)
def _resize_nearest_neighbor_grad_tbe():
"""ResizeNearestNeighborGrad TBE register"""
return

8
mindspore/ops/operations/other_ops.py
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@ -75,8 +75,8 @@ class BoundingBoxEncode(PrimitiveWithInfer):
stds (tuple): Stds for encoding bounding boxes calculation. Default: (1.0, 1.0, 1.0, 1.0).
Inputs:
- **anchor_box** (Tensor) - Anchor boxes.
- **groundtruth_box** (Tensor) - Ground truth boxes.
- **anchor_box** (Tensor) - Anchor boxes. The shape of anchor_box must be (n, 4).
- **groundtruth_box** (Tensor) - Ground truth boxes. Which has the same shape with anchor_box.
Outputs:
Tensor, encoded bounding boxes.
@ -128,8 +128,8 @@ class BoundingBoxDecode(PrimitiveWithInfer):
wh_ratio_clip (float): The limit of width and height ratio for decoding box calculation. Default: 0.016.
Inputs:
- **anchor_box** (Tensor) - Anchor boxes.
- **deltas** (Tensor) - Delta of boxes.
- **anchor_box** (Tensor) - Anchor boxes. The shape of anchor_box must be (n, 4).
- **deltas** (Tensor) - Delta of boxes. Which has the same shape with anchor_box.
Outputs:
Tensor, decoded boxes.