From c52fa4742866125e35e88d0653dac99473e5fffb Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Mon, 16 Apr 2018 10:09:10 +0000
Subject: [PATCH] Loss-graph store automatically (iterations == max_batches) at the end of training

---
 Makefile |    8 +++++---
 1 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/Makefile b/Makefile
index f664a72..8428fb6 100644
--- a/Makefile
+++ b/Makefile
@@ -44,10 +44,12 @@
 OPTS=-Ofast
 LDFLAGS= -lm -pthread 
 COMMON= 
-CFLAGS=-Wall -Wfatal-errors
+CFLAGS=-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas
 
 ifeq ($(DEBUG), 1) 
-OPTS=-O0 -g
+OPTS= -O0 -g
+else
+CFLAGS+= -ffp-contract=fast -mavx
 endif
 
 CFLAGS+=$(OPTS)
@@ -85,7 +87,7 @@
 endif
 endif
 
-OBJ=http_stream.o gemm.o utils.o cuda.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o parser.o option_list.o darknet.o detection_layer.o captcha.o route_layer.o writing.o box.o nightmare.o normalization_layer.o avgpool_layer.o coco.o dice.o yolo.o detector.o layer.o compare.o classifier.o local_layer.o swag.o shortcut_layer.o activation_layer.o rnn_layer.o gru_layer.o rnn.o rnn_vid.o crnn_layer.o demo.o tag.o cifar.o go.o batchnorm_layer.o art.o region_layer.o reorg_layer.o reorg_old_layer.o super.o voxel.o tree.o
+OBJ=http_stream.o gemm.o utils.o cuda.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o parser.o option_list.o darknet.o detection_layer.o captcha.o route_layer.o writing.o box.o nightmare.o normalization_layer.o avgpool_layer.o coco.o dice.o yolo.o detector.o layer.o compare.o classifier.o local_layer.o swag.o shortcut_layer.o activation_layer.o rnn_layer.o gru_layer.o rnn.o rnn_vid.o crnn_layer.o demo.o tag.o cifar.o go.o batchnorm_layer.o art.o region_layer.o reorg_layer.o reorg_old_layer.o super.o voxel.o tree.o yolo_layer.o upsample_layer.o
 ifeq ($(GPU), 1) 
 LDFLAGS+= -lstdc++ 
 OBJ+=convolutional_kernels.o activation_kernels.o im2col_kernels.o col2im_kernels.o blas_kernels.o crop_layer_kernels.o dropout_layer_kernels.o maxpool_layer_kernels.o network_kernels.o avgpool_layer_kernels.o

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