From 76e258520edb50e8bb897ba15aa9467579e70a6a Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Wed, 20 Jun 2018 10:28:25 +0000
Subject: [PATCH] Minor fix
---
src/convolutional_layer.c | 11 ++++++++++-
1 files changed, 10 insertions(+), 1 deletions(-)
diff --git a/src/convolutional_layer.c b/src/convolutional_layer.c
index a349454..90f9551 100644
--- a/src/convolutional_layer.c
+++ b/src/convolutional_layer.c
@@ -465,6 +465,10 @@
l->x_norm = realloc(l->x_norm, l->batch*l->outputs*sizeof(float));
}
+ if (l->xnor) {
+ //l->binary_input = realloc(l->inputs*l->batch, sizeof(float));
+ }
+
#ifdef GPU
if (old_w < w || old_h < h) {
cuda_free(l->delta_gpu);
@@ -480,6 +484,11 @@
l->x_gpu = cuda_make_array(l->output, l->batch*l->outputs);
l->x_norm_gpu = cuda_make_array(l->output, l->batch*l->outputs);
}
+
+ if (l->xnor) {
+ cuda_free(l->binary_input_gpu);
+ l->binary_input_gpu = cuda_make_array(0, l->inputs*l->batch);
+ }
}
#ifdef CUDNN
cudnn_convolutional_setup(l, cudnn_fastest);
@@ -493,7 +502,7 @@
size_t total_byte;
check_error(cudaMemGetInfo(&free_byte, &total_byte));
if (l->workspace_size > free_byte || l->workspace_size >= total_byte / 2) {
- printf(" used slow CUDNN algo without Workspace! Need memory: %d, available: %d\n", l->workspace_size, (free_byte < total_byte/2) ? free_byte : total_byte/2);
+ printf(" used slow CUDNN algo without Workspace! Need memory: %zu, available: %zu\n", l->workspace_size, (free_byte < total_byte/2) ? free_byte : total_byte/2);
cudnn_convolutional_setup(l, cudnn_smallest);
l->workspace_size = get_workspace_size(*l);
}
--
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