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-rw-r--r--thirdparty/oidn/mkl-dnn/src/cpu/ref_softmax.hpp186
1 files changed, 0 insertions, 186 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/ref_softmax.hpp b/thirdparty/oidn/mkl-dnn/src/cpu/ref_softmax.hpp
deleted file mode 100644
index 5cb74d8007..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/cpu/ref_softmax.hpp
+++ /dev/null
@@ -1,186 +0,0 @@
-/*******************************************************************************
-* Copyright 2016-2018 Intel Corporation
-*
-* 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.
-*******************************************************************************/
-
-#ifndef CPU_REF_SOFTMAX_HPP
-#define CPU_REF_SOFTMAX_HPP
-
-#include <assert.h>
-
-#include "c_types_map.hpp"
-#include "memory_tracking.hpp"
-#include "type_helpers.hpp"
-#include "utils.hpp"
-
-#include "cpu_softmax_pd.hpp"
-#include "cpu_primitive.hpp"
-
-namespace mkldnn {
-namespace impl {
-namespace cpu {
-
-template <impl::data_type_t data_type>
-struct ref_softmax_fwd_t: public cpu_primitive_t {
- struct pd_t: public cpu_softmax_fwd_pd_t {
- using cpu_softmax_fwd_pd_t::cpu_softmax_fwd_pd_t;
-
- DECLARE_COMMON_PD_T("ref:any", ref_softmax_fwd_t);
-
- status_t init() {
- bool ok = true
- && is_fwd()
- && src_md()->data_type == data_type
- && attr()->has_default_values();
- if (!ok) return status::unimplemented;
-
- init_scratchpad();
-
- return status::success;
- }
-
- private:
- void init_scratchpad() {
- const int inner_size = utils::array_product(
- desc()->data_desc.dims + desc()->softmax_axis + 1,
- desc()->data_desc.ndims - desc()->softmax_axis - 1);
-
- if (inner_size > 1) {
- auto scratchpad = scratchpad_registry().registrar();
- scratchpad.book(memory_tracking::names::key_softmax_reduction,
- sizeof(data_t) * 2 * inner_size);
- }
- }
- };
-
- ref_softmax_fwd_t(const pd_t *apd): cpu_primitive_t(apd)
- {
- auto ndims = pd()->desc()->data_desc.ndims;
- auto dims = pd()->desc()->data_desc.dims;
- auto axis = pd()->desc()->softmax_axis;
-
- outer_size_ = utils::array_product(dims, axis);
- channels_ = dims[axis];
- inner_size_ = utils::array_product(dims + axis + 1, ndims - axis - 1);
-
- const memory_desc_wrapper data_d(pd()->src_md());
-
- bool no_axis_blocking = true;
- for (int iblk = 0; iblk < data_d.blocking_desc().inner_nblks; ++iblk)
- if (data_d.blocking_desc().inner_idxs[iblk] == axis)
- no_axis_blocking = false;
-
- use_dense_ = inner_size_ == 1 && data_d.is_dense()
- && no_axis_blocking
- && data_d.blocking_desc().strides[axis] == 1;
- }
-
- typedef typename prec_traits<data_type>::type data_t;
-
- virtual status_t execute(const exec_ctx_t &ctx) const override {
- if (use_dense_)
- execute_forward_dense(ctx);
- else
- execute_forward_generic(ctx);
- return status::success;
- }
-
-private:
- void execute_forward_dense(const exec_ctx_t &ctx) const;
- void execute_forward_generic(const exec_ctx_t &ctx) const;
-
- void _max(int n, const data_t *x, data_t *max_data) const;
- void _sub(int n, data_t alpha, const data_t *x, data_t *y) const;
- void _exp(int n, const data_t *a, data_t *r) const;
- void _sum(int n, const data_t *x, data_t *sum_data) const;
- void _scal(int n, data_t alpha, data_t *x) const;
-
- const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
-
- bool use_dense_;
- int outer_size_, channels_, inner_size_;
-};
-
-template <impl::data_type_t data_type>
-struct ref_softmax_bwd_t: public cpu_primitive_t {
- struct pd_t: public cpu_softmax_bwd_pd_t {
- using cpu_softmax_bwd_pd_t::cpu_softmax_bwd_pd_t;
-
- DECLARE_COMMON_PD_T("ref:any", ref_softmax_bwd_t);
-
- status_t init() {
- bool ok = true
- && !is_fwd()
- && utils::everyone_is(data_type,
- dst_md()->data_type,
- diff_src_md()->data_type)
- && attr()->has_default_values();
- if (!ok) return status::unimplemented;
-
- return status::success;
- }
- };
-
- ref_softmax_bwd_t(const pd_t *apd): cpu_primitive_t(apd) {
- auto dims = pd()->desc()->diff_desc.dims;
- auto axis = pd()->desc()->softmax_axis;
- auto ndims = pd()->desc()->diff_desc.ndims;
-
- outer_size_ = utils::array_product(dims, axis);
- channels_ = dims[axis];
- inner_size_ = utils::array_product(dims + axis + 1, ndims - axis - 1);
-
- const memory_desc_wrapper data_d(pd()->dst_md());
- const memory_desc_wrapper diff_d(pd()->diff_dst_md());
-
- bool no_axis_blocking = true;
- for (int iblk = 0; iblk < diff_d.blocking_desc().inner_nblks; ++iblk)
- if (diff_d.blocking_desc().inner_idxs[iblk] == axis)
- no_axis_blocking = false;
-
- use_dense_ = true
- && inner_size_ == 1
- && diff_d == data_d
- && diff_d.is_dense()
- && no_axis_blocking
- && diff_d.blocking_desc().strides[axis] == 1;
- }
-
- typedef typename prec_traits<data_type>::type data_t;
-
- virtual status_t execute(const exec_ctx_t &ctx) const override {
- if (use_dense_)
- execute_backward_dense(ctx);
- else
- execute_backward_generic(ctx);
- return status::success;
- }
-
-private:
- void execute_backward_dense(const exec_ctx_t &ctx) const;
- void execute_backward_generic(const exec_ctx_t &ctx) const;
- const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
-
- bool use_dense_;
- int outer_size_, channels_, inner_size_;
-};
-
-
-}
-}
-}
-
-#endif
-
-// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s