From eaf033c0570308dfcd381ed61d274c7f5add7cfc Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Mon, 09 Nov 2015 21:27:02 +0000
Subject: [PATCH] Added tiny yolo model
---
src/softmax_layer_kernels.cu | 4 +---
1 files changed, 1 insertions(+), 3 deletions(-)
diff --git a/src/softmax_layer_kernels.cu b/src/softmax_layer_kernels.cu
index 0529f75..7e13387 100644
--- a/src/softmax_layer_kernels.cu
+++ b/src/softmax_layer_kernels.cu
@@ -4,8 +4,6 @@
#include "blas.h"
}
-#define BLOCK 256
-
__global__ void forward_softmax_layer_kernel(int n, int batch, float *input, float *output)
{
int b = (blockIdx.x + blockIdx.y*gridDim.x) * blockDim.x + threadIdx.x;
@@ -42,7 +40,7 @@
extern "C" void backward_softmax_layer_gpu(const softmax_layer layer, network_state state)
{
- copy_ongpu(layer.batch*layer.inputs, layer.delta_gpu, 1, state.delta, 1);
+ axpy_ongpu(layer.batch*layer.inputs, 1, layer.delta_gpu, 1, state.delta, 1);
}
/* This is if you want softmax w/o log-loss classification. You probably don't.
--
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