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/*******************************************************************************
* Copyright 2017-2018 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.
*******************************************************************************/
#include "mkldnn.h"
#include "c_types_map.hpp"
#include "primitive_attr.hpp"
#include "type_helpers.hpp"
#include "utils.hpp"
using namespace mkldnn::impl;
using namespace mkldnn::impl::status;
using namespace mkldnn::impl::utils;
namespace mkldnn {
namespace impl {
status_t scales_t::set(dim_t count, int mask, const float *scales) {
cleanup();
count_ = count;
mask_ = mask;
if (count_ == 1) {
scales_ = scales_buf_;
utils::array_set(scales_, scales[0], scales_buf_size);
} else {
scales_ = (float *)impl::malloc(count_ * sizeof(*scales_), 64);
if (scales_ == nullptr)
return status::out_of_memory;
for (dim_t c = 0; c < count_; ++c)
scales_[c] = scales[c];
}
return status::success;
}
}
}
status_t post_ops_t::append_sum(float scale) {
if (len_ == capacity)
return out_of_memory;
entry_[len_].kind = primitive_kind::sum;
entry_[len_].sum.scale = scale;
len_++;
return success;
}
status_t post_ops_t::append_eltwise(float scale, alg_kind_t alg, float alpha,
float beta) {
using namespace mkldnn::impl::alg_kind;
bool known_alg = one_of(alg, eltwise_relu, eltwise_tanh, eltwise_elu,
eltwise_square, eltwise_abs, eltwise_sqrt, eltwise_linear,
eltwise_bounded_relu, eltwise_soft_relu, eltwise_logistic);
if (!known_alg)
return invalid_arguments;
if (len_ == capacity)
return out_of_memory;
entry_[len_].kind = primitive_kind::eltwise;
entry_[len_].eltwise.scale = scale;
entry_[len_].eltwise.alg = alg;
entry_[len_].eltwise.alpha = alpha;
entry_[len_].eltwise.beta = beta;
len_++;
return success;
}
status_t primitive_attr_t::set_scratchpad_mode(
scratchpad_mode_t scratchpad_mode) {
using namespace mkldnn::impl::scratchpad_mode;
const bool ok = one_of(scratchpad_mode, library, user);
if (!ok)
return invalid_arguments;
scratchpad_mode_ = scratchpad_mode;
return success;
}
status_t primitive_attr_t::set_post_ops(const post_ops_t &post_ops) {
this->post_ops_ = post_ops;
return success;
}
/* Public C API */
status_t mkldnn_primitive_attr_create(primitive_attr_t **attr) {
if (attr == nullptr)
return invalid_arguments;
return safe_ptr_assign<mkldnn_primitive_attr>(*attr,
new mkldnn_primitive_attr);
}
status_t mkldnn_primitive_attr_clone(primitive_attr_t **attr,
const primitive_attr_t *existing_attr) {
if (any_null(attr, existing_attr))
return invalid_arguments;
return safe_ptr_assign<mkldnn_primitive_attr>(*attr,
existing_attr->clone());
}
status_t mkldnn_primitive_attr_destroy(primitive_attr_t *attr) {
if (attr)
delete attr;
return success;
}
status_t mkldnn_primitive_attr_get_scratchpad_mode(
const primitive_attr_t *attr, scratchpad_mode_t *scratchpad_mode) {
if (any_null(attr, scratchpad_mode))
return invalid_arguments;
*scratchpad_mode = attr->scratchpad_mode_;
return success;
}
status_t mkldnn_primitive_attr_set_scratchpad_mode(
primitive_attr_t *attr, scratchpad_mode_t scratchpad_mode) {
if (any_null(attr))
return invalid_arguments;
return attr->set_scratchpad_mode(scratchpad_mode);
}
status_t mkldnn_primitive_attr_get_output_scales(const primitive_attr_t *attr,
dim_t *count, int *mask, const float **scales) {
if (any_null(attr, count, mask, scales))
return invalid_arguments;
*count = attr->output_scales_.count_;
*mask = attr->output_scales_.mask_;
*scales = attr->output_scales_.scales_;
return success;
}
status_t mkldnn_primitive_attr_set_output_scales(primitive_attr_t *attr,
dim_t count, int mask, const float *scales) {
bool ok = !any_null(attr, scales) && count > 0 && mask >= 0;
if (!ok)
return invalid_arguments;
return attr->output_scales_.set(count, mask, scales);
}
status_t mkldnn_primitive_attr_get_post_ops(const primitive_attr_t *attr,
const post_ops_t **post_ops) {
if (any_null(attr, post_ops))
return invalid_arguments;
*post_ops = &attr->post_ops_;
return success;
}
status_t mkldnn_primitive_attr_set_post_ops(primitive_attr_t *attr,
const post_ops_t *post_ops) {
if (any_null(attr, post_ops))
return invalid_arguments;
return attr->set_post_ops(*post_ops);
}
status_t mkldnn_post_ops_create(post_ops_t **post_ops) {
if (post_ops == nullptr)
return invalid_arguments;
return safe_ptr_assign<mkldnn_post_ops>(*post_ops, new mkldnn_post_ops);
}
status_t mkldnn_post_ops_destroy(post_ops_t *post_ops) {
if (post_ops)
delete post_ops;
return success;
}
int mkldnn_post_ops_len(const post_ops_t *post_ops) {
if (post_ops)
return post_ops->len_;
return 0;
}
primitive_kind_t mkldnn_post_ops_get_kind(const post_ops_t *post_ops,
int index) {
bool ok = post_ops && 0 <= index && index < post_ops->len_;
if (!ok)
return primitive_kind::undefined;
return post_ops->entry_[index].kind;
}
status_t mkldnn_post_ops_append_sum(post_ops_t *post_ops, float scale) {
if (post_ops == nullptr)
return invalid_arguments;
return post_ops->append_sum(scale);
}
namespace {
bool simple_get_params_check(const post_ops_t *post_ops, int index,
primitive_kind_t kind) {
bool ok = true
&& post_ops != nullptr
&& 0 <= index
&& index < post_ops->len_
&& post_ops->entry_[index].kind == kind;
return ok;
}
}
status_t mkldnn_post_ops_get_params_sum(const post_ops_t *post_ops, int index,
float *scale) {
bool ok = true
&& simple_get_params_check(post_ops, index, primitive_kind::sum)
&& !any_null(scale);
if (!ok)
return invalid_arguments;
*scale = post_ops->entry_[index].sum.scale;
return success;
}
status_t mkldnn_post_ops_append_eltwise(post_ops_t *post_ops, float scale,
alg_kind_t kind, float alpha, float beta) {
if (post_ops == nullptr)
return invalid_arguments;
return post_ops->append_eltwise(scale, kind, alpha, beta);
}
status_t mkldnn_post_ops_get_params_eltwise(const post_ops_t *post_ops,
int index, float *scale, alg_kind_t *alg, float *alpha, float *beta) {
bool ok = true
&& simple_get_params_check(post_ops, index, primitive_kind::eltwise)
&& !any_null(scale, alpha, beta);
if (!ok)
return invalid_arguments;
const auto &e = post_ops->entry_[index].eltwise;
*scale = e.scale;
*alg = e.alg;
*alpha = e.alpha;
*beta = e.beta;
return success;
}
status_t mkldnn_primitive_attr_set_rnn_data_qparams(
primitive_attr_t *attr, const float scale, const float shift) {
if (attr == nullptr)
return invalid_arguments;
return attr->rnn_data_qparams_.set(scale, shift);
}
status_t mkldnn_primitive_attr_set_rnn_weights_qparams(
primitive_attr_t *attr, dim_t count, int mask, const float *scales) {
bool ok = !any_null(attr, scales) && count > 0 && mask >= 0;
if (!ok)
return invalid_arguments;
return attr->rnn_weights_qparams_.set(count, mask, scales);
}
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