From c884653de1fe562b13f07df86a4d92ada9bd66ce Mon Sep 17 00:00:00 2001 From: liuxiao Date: Thu, 14 May 2020 19:20:05 +0800 Subject: [PATCH] add tbe op info of BNInfer and BNInferGrad for VM --- mindspore/ccsrc/kernel/tbe/tbe_adapter.cc | 2 + mindspore/ops/_op_impl/tbe/__init__.py | 2 + mindspore/ops/_op_impl/tbe/bn_infer.py | 43 +++++++++++++++++++++ mindspore/ops/_op_impl/tbe/bn_infer_grad.py | 39 +++++++++++++++++++ 4 files changed, 86 insertions(+) create mode 100644 mindspore/ops/_op_impl/tbe/bn_infer.py create mode 100644 mindspore/ops/_op_impl/tbe/bn_infer_grad.py diff --git a/mindspore/ccsrc/kernel/tbe/tbe_adapter.cc b/mindspore/ccsrc/kernel/tbe/tbe_adapter.cc index 61effb5388..283d626323 100644 --- a/mindspore/ccsrc/kernel/tbe/tbe_adapter.cc +++ b/mindspore/ccsrc/kernel/tbe/tbe_adapter.cc @@ -56,6 +56,8 @@ static std::map tbe_func_adapter_map = { {"b_n_training_update", "bn_training_update"}, {"b_n_training_reduce_grad", "bn_training_reduce_grad"}, {"b_n_training_update_grad", "bn_training_update_grad"}, + {"b_n_infer", "bn_infer"}, + {"b_n_infer_grad", "bn_infer_grad"}, {"n_pu_clear_float_status", "n_p_u_clear_float_status"}, {"n_pu_get_float_status", "n_p_u_get_float_status"}, {"n_pu_alloc_float_status", "n_p_u_alloc_float_status"}, diff --git a/mindspore/ops/_op_impl/tbe/__init__.py b/mindspore/ops/_op_impl/tbe/__init__.py index c18a0a28c3..bce2f96eee 100644 --- a/mindspore/ops/_op_impl/tbe/__init__.py +++ b/mindspore/ops/_op_impl/tbe/__init__.py @@ -71,6 +71,8 @@ from .bn_training_reduce import _bn_training_reduce_tbe from .bn_training_reduce_grad import _bn_training_reduce_grad_tbe from .bn_training_update import _bn_training_update_tbe from .bn_training_update_grad import _bn_training_update_grad_tbe +from .bn_infer import _bn_infer_tbe +from .bn_infer_grad import _bn_infer_grad_tbe from .reciprocal import _reciprocal_tbe from .strided_slice_d import _strided_slice_d_tbe from .strided_slice_grad_d import _strided_slice_grad_d_tbe diff --git a/mindspore/ops/_op_impl/tbe/bn_infer.py b/mindspore/ops/_op_impl/tbe/bn_infer.py new file mode 100644 index 0000000000..db380ab25d --- /dev/null +++ b/mindspore/ops/_op_impl/tbe/bn_infer.py @@ -0,0 +1,43 @@ +# 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. +# ============================================================================ + +"""BNInfer op""" +from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType + +bn_infer_op_info = TBERegOp("BNInfer") \ + .fusion_type("OPAQUE") \ + .async_flag(False) \ + .binfile_name("bn_infer.so") \ + .compute_cost(10) \ + .kernel_name("bn_infer") \ + .partial_flag(True) \ + .attr("epsilon", "required", "float", "all") \ + .input(0, "x", False, "required", "all", reshape_type="NC") \ + .input(1, "scale", False, "required", "all") \ + .input(2, "offset", False, "required", "all") \ + .input(3, "mean", False, "required", "all") \ + .input(4, "variance", False, "required", "all") \ + .output(0, "y", False, "required", "all", reshape_type="NC") \ + .dtype_format(DataType.F16_5HD, DataType.F32_5HD, DataType.F32_5HD, DataType.F32_5HD, + DataType.F32_5HD, DataType.F16_5HD) \ + .dtype_format(DataType.F32_5HD, DataType.F32_5HD, DataType.F32_5HD, DataType.F32_5HD, + DataType.F32_5HD, DataType.F32_5HD) \ + .get_op_info() + + +@op_info_register(bn_infer_op_info) +def _bn_infer_tbe(): + """BNInfer TBE register""" + return diff --git a/mindspore/ops/_op_impl/tbe/bn_infer_grad.py b/mindspore/ops/_op_impl/tbe/bn_infer_grad.py new file mode 100644 index 0000000000..7fc89fe05a --- /dev/null +++ b/mindspore/ops/_op_impl/tbe/bn_infer_grad.py @@ -0,0 +1,39 @@ +# 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. +# ============================================================================ + +"""BNInferGrad op""" +from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType + +bn_infer_grad_op_info = TBERegOp("BNInferGrad") \ + .fusion_type("OPAQUE") \ + .async_flag(False) \ + .binfile_name("bn_infer_grad.so") \ + .compute_cost(10) \ + .kernel_name("bn_infer_grad") \ + .partial_flag(True) \ + .attr("epsilon", "optional", "float", "all") \ + .input(0, "grads", False, "required", "all", reshape_type="NC") \ + .input(1, "scale", False, "required", "all") \ + .input(2, "batch_variance", False, "required", "all") \ + .output(0, "x_backprop", False, "required", "all", reshape_type="NC") \ + .dtype_format(DataType.F16_5HD, DataType.F32_5HD, DataType.F32_5HD, DataType.F16_5HD) \ + .dtype_format(DataType.F32_5HD, DataType.F32_5HD, DataType.F32_5HD, DataType.F32_5HD) \ + .get_op_info() + + +@op_info_register(bn_infer_grad_op_info) +def _bn_infer_grad_tbe(): + """BNInferGrad TBE register""" + return