From 812d143ebd8e308b3908d66ced8cb9608c88461f Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Tue, 08 May 2018 16:09:58 +0000
Subject: [PATCH] Merge branch 'master' of github.com:AlexeyAB/darknet
---
src/convolutional_layer.c | 7 +++++--
1 files changed, 5 insertions(+), 2 deletions(-)
diff --git a/src/convolutional_layer.c b/src/convolutional_layer.c
index cd36929..b8065fd 100644
--- a/src/convolutional_layer.c
+++ b/src/convolutional_layer.c
@@ -178,6 +178,8 @@
// batch norm
cudnnSetTensor4dDescriptor(l->normTensorDesc, CUDNN_TENSOR_NCHW, CUDNN_DATA_FLOAT, 1, l->out_c, 1, 1);
cudnnSetTensor4dDescriptor(l->normDstTensorDesc, CUDNN_TENSOR_NCHW, CUDNN_DATA_FLOAT, l->batch, l->out_c, l->out_h, l->out_w);
+
+ cudnnSetTensor4dDescriptor(l->normDstTensorDescF16, CUDNN_TENSOR_NCHW, data_type, l->batch, l->out_c, l->out_h, l->out_w);
#if(CUDNN_MAJOR >= 6)
cudnnSetConvolution2dDescriptor(l->convDesc, l->pad, l->pad, l->stride, l->stride, 1, 1, CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT); // cudnn >= 6.0
#else
@@ -248,7 +250,7 @@
//printf("Tensor Cores - Backward-filter enabled: l->bf_algo = CUDNN_CONVOLUTION_BWD_FILTER_ALGO_WINOGRAD_NONFUSED \n");
if (fw == 2 && bd == 2 && bf == 2) printf("TF ");
- else if (fw >= 1 && bd >= 1 && bf >= 1) printf("TH ");
+ else if (fw == 1 && bd == 1 && bf == 1) printf("TH ");
}
}
#endif
@@ -379,6 +381,7 @@
}
#ifdef CUDNN
cudnnCreateTensorDescriptor(&l.normDstTensorDesc);
+ cudnnCreateTensorDescriptor(&l.normDstTensorDescF16);
cudnnCreateTensorDescriptor(&l.normTensorDesc);
cudnnCreateTensorDescriptor(&l.srcTensorDesc);
cudnnCreateTensorDescriptor(&l.dstTensorDesc);
@@ -488,7 +491,7 @@
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! \n");
+ 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);
cudnn_convolutional_setup(l, cudnn_smallest);
l->workspace_size = get_workspace_size(*l);
}
--
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