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-rw-r--r--src/core/NEON/kernels/NECol2ImKernel.cpp1
-rw-r--r--src/core/NEON/kernels/NEIm2ColKernel.cpp2
2 files changed, 2 insertions, 1 deletions
diff --git a/src/core/NEON/kernels/NECol2ImKernel.cpp b/src/core/NEON/kernels/NECol2ImKernel.cpp
index b9c7a9ac3b..bb8e758b78 100644
--- a/src/core/NEON/kernels/NECol2ImKernel.cpp
+++ b/src/core/NEON/kernels/NECol2ImKernel.cpp
@@ -44,6 +44,7 @@ TensorShape get_output_shape(const ITensorInfo *input, const Size2D &convolved_d
output_shape.set(0, convolved_dims.width);
output_shape.set(1, convolved_dims.height);
output_shape.set(2, input->tensor_shape()[0]);
+ output_shape.set(3, input->tensor_shape()[3]); // For NEON the batch size is on the fourth dimension of the input tensor
return output_shape;
}
diff --git a/src/core/NEON/kernels/NEIm2ColKernel.cpp b/src/core/NEON/kernels/NEIm2ColKernel.cpp
index 16525ac22e..61010711a6 100644
--- a/src/core/NEON/kernels/NEIm2ColKernel.cpp
+++ b/src/core/NEON/kernels/NEIm2ColKernel.cpp
@@ -60,7 +60,7 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, c
}
else if(!is_fully_connected) /* Called by ConvolutionLayer */
{
- expected_output_shape = misc::shape_calculator::compute_im2col_conv_shape(input, kernel_dims, conv_info, has_bias, dilation);
+ expected_output_shape = misc::shape_calculator::compute_im2col_conv_shape(input, kernel_dims, conv_info, has_bias, dilation, false);
}
else /* Called by FullyConnectedLayer */
{