!4299 fix caffe eltwise sum parser bug & conv_bn_fusion eps bug

Merge pull request !4299 from wangzhe/master
This commit is contained in:
mindspore-ci-bot 2020-08-12 17:23:20 +08:00 committed by Gitee
commit d7795494e0
2 changed files with 16 additions and 8 deletions

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@ -14,10 +14,13 @@
* limitations under the License. * limitations under the License.
*/ */
#include <cmath>
#include <memory> #include <memory>
#include "mindspore/lite/tools/converter/parser/caffe/caffe_eltwise_parser.h" #include "mindspore/lite/tools/converter/parser/caffe/caffe_eltwise_parser.h"
#include "utils/log_adapter.h"
const int ELTWISE_MIN_INPUT_SIZE = 2; const int ELTWISE_MIN_INPUT_SIZE = 2;
const float ELTWISE_SUM_COEFF_EPSILON = 1e-5;
namespace mindspore { namespace mindspore {
namespace lite { namespace lite {
@ -25,21 +28,27 @@ STATUS CaffeEltwiseParser::Parse(const caffe::LayerParameter &proto, const caffe
schema::CNodeT *op, std::vector<schema::TensorT *> *weightVec) { schema::CNodeT *op, std::vector<schema::TensorT *> *weightVec) {
std::unique_ptr<schema::EltwiseT> attr(new schema::EltwiseT()); std::unique_ptr<schema::EltwiseT> attr(new schema::EltwiseT());
if (proto.bottom_size() < ELTWISE_MIN_INPUT_SIZE) { if (proto.bottom_size() < ELTWISE_MIN_INPUT_SIZE) {
// MS_LOGE("Eltwise Op '%s' need at least 2 inputs,but input size is %d", proto.name().c_str(), MS_LOG(ERROR) << "Eltwise Op " << proto.name() << " need at least 2 inputs,but input size is "
// proto.bottom_size()); << proto.bottom_size();
return RET_ERROR; return RET_ERROR;
} }
const caffe::EltwiseParameter eltwiseParam = proto.eltwise_param(); const caffe::EltwiseParameter eltwiseParam = proto.eltwise_param();
if (eltwiseParam.coeff_size() != 0 && eltwiseParam.coeff_size() != proto.bottom_size()) { if (eltwiseParam.coeff_size() != 0 && eltwiseParam.coeff_size() != proto.bottom_size()) {
// MS_LOGE("Coeff size(%d) check fail, Eltwise Layer takes one coefficient per bottom blob.", MS_LOG(ERROR) << "Coeff size(" << eltwiseParam.coeff_size()
// eltwiseParam.coeff_size()); << ") check fail, Eltwise Layer takes one coefficient per bottom blob.";
return RET_PARAM_INVALID; return RET_PARAM_INVALID;
} }
if (eltwiseParam.operation() == caffe::EltwiseParameter::PROD && eltwiseParam.coeff_size() != 0) { if (eltwiseParam.operation() == caffe::EltwiseParameter::PROD && eltwiseParam.coeff_size() != 0) {
// MS_LOGE("Eltwise layer only takes coefficients for summation."); MS_LOG(ERROR) << "Eltwise layer only takes coefficients for summation.";
return RET_ERROR;
}
if (eltwiseParam.coeff_size() != 0 && (fabs(eltwiseParam.coeff(0) - 1) > ELTWISE_SUM_COEFF_EPSILON ||
fabs(eltwiseParam.coeff(1) - 1) > ELTWISE_SUM_COEFF_EPSILON)) {
MS_LOG(ERROR) << "Eltwise only support coefficient 1 for summation now.";
return RET_ERROR; return RET_ERROR;
} }
@ -55,7 +64,7 @@ STATUS CaffeEltwiseParser::Parse(const caffe::LayerParameter &proto, const caffe
attr->mode = schema::EltwiseMode_MAXIMUM; attr->mode = schema::EltwiseMode_MAXIMUM;
break; break;
default: default:
// MS_LOGE("Eltwise parse params fail, unsupported opration %d.", eltwiseParam.operation()); MS_LOG(ERROR) << "Eltwise parse params fail, unsupported opration: " << eltwiseParam.operation();
return RET_PARAM_INVALID; return RET_PARAM_INVALID;
} }
} else { } else {

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@ -32,7 +32,6 @@ constexpr size_t kTFBNBiasIndex = 3;
constexpr size_t kTFBNMeanIndex = 4; constexpr size_t kTFBNMeanIndex = 4;
constexpr size_t kTFBNVarIndex = 5; constexpr size_t kTFBNVarIndex = 5;
constexpr const float EPS = 1e-8; constexpr const float EPS = 1e-8;
constexpr const float EPS_DEFAULT_FLOAT = 1e-5;
constexpr const float POW_NUM = 0.5; constexpr const float POW_NUM = 0.5;
bool IsBatchNode(const BaseRef &n) { bool IsBatchNode(const BaseRef &n) {
if (utils::isa<CNodePtr>(n) || utils::isa<ValueNodePtr>(n)) { if (utils::isa<CNodePtr>(n) || utils::isa<ValueNodePtr>(n)) {
@ -133,7 +132,7 @@ const void ConvBatchNormFusion::InitTransParam(const CNodePtr &bn_node, int kern
CheckIfNodeIsParam(bn_mean_node); CheckIfNodeIsParam(bn_mean_node);
CheckIfNodeIsParam(bn_variance_node); CheckIfNodeIsParam(bn_variance_node);
if (eps < EPS) { if (eps < EPS) {
eps = EPS_DEFAULT_FLOAT; eps = EPS;
} }
CalTransale(bn_scale_node, bn_variance_node, trans_scale, eps, kernel_num); CalTransale(bn_scale_node, bn_variance_node, trans_scale, eps, kernel_num);