From 11c72b1132feca7c1252ea01d02da4cb497e723f Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Thu, 11 Jun 2015 22:38:58 +0000
Subject: [PATCH] testing on one image
---
src/convolutional_kernels.cu | 12 ++++++------
1 files changed, 6 insertions(+), 6 deletions(-)
diff --git a/src/convolutional_kernels.cu b/src/convolutional_kernels.cu
index 5b49091..d260a95 100644
--- a/src/convolutional_kernels.cu
+++ b/src/convolutional_kernels.cu
@@ -11,22 +11,22 @@
__global__ void bias_output_kernel(float *output, float *biases, int n, int size)
{
int offset = blockIdx.x * blockDim.x + threadIdx.x;
- int filter = blockIdx.y % n;
- int batch = blockIdx.y / n;
+ int filter = blockIdx.y;
+ int batch = blockIdx.z;
if(offset < size) output[(batch*n+filter)*size + offset] = biases[filter];
}
void bias_output_gpu(float *output, float *biases, int batch, int n, int size)
{
- dim3 dimGrid((size-1)/BLOCK + 1, n*batch, 1);
+ dim3 dimGrid((size-1)/BLOCK + 1, n, batch);
dim3 dimBlock(BLOCK, 1, 1);
bias_output_kernel<<<dimGrid, dimBlock>>>(output, biases, n, size);
check_error(cudaPeekAtLastError());
}
-__global__ void backward_bias_kernel(float *bias_updates, float *delta, int batch, int n, int size, float scale)
+__global__ void backward_bias_kernel(float *bias_updates, float *delta, int batch, int n, int size)
{
__shared__ float part[BLOCK];
int i,b;
@@ -42,13 +42,13 @@
part[p] = sum;
__syncthreads();
if(p == 0){
- for(i = 0; i < BLOCK; ++i) bias_updates[filter] += scale * part[i];
+ for(i = 0; i < BLOCK; ++i) bias_updates[filter] += part[i];
}
}
void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size)
{
- backward_bias_kernel<<<n, BLOCK>>>(bias_updates, delta, batch, n, size, 1);
+ backward_bias_kernel<<<n, BLOCK>>>(bias_updates, delta, batch, n, size);
check_error(cudaPeekAtLastError());
}
--
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