diff options
Diffstat (limited to 'ethosu/vela/npu_performance.py')
| -rw-r--r-- | ethosu/vela/npu_performance.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/ethosu/vela/npu_performance.py b/ethosu/vela/npu_performance.py index 32208c9e..eda8e42b 100644 --- a/ethosu/vela/npu_performance.py +++ b/ethosu/vela/npu_performance.py @@ -259,14 +259,14 @@ def performance_metrics_for_pass(arch, ps, block_config=None, rewrite_list=[], f ifm_tensor, _, weight_tensor, ofm_tensor = ps.get_primary_op_ifm_ifm2_weights_ofm() - npu_convolution_ops = set((NpuBlockType.ConvolutionMxN, NpuBlockType.ConvolutionDepthWise)) - if (npu_block_type == NpuBlockType.Pooling and len(ifm_tensor.shape) == 4) or ( - npu_block_type in npu_convolution_ops - ): + if npu_block_type in set((NpuBlockType.ConvolutionMxN, NpuBlockType.ConvolutionDepthWise, NpuBlockType.Pooling)): + # extent the ifm to full dimension + ifm_tensor_brick_size = tuple(numeric_util.full_shape(4, list(ifm_tensor.brick_size), 1)) + ifm_tensor_shape = numeric_util.full_shape(4, ifm_tensor.shape, 1) + ifm_tensor_bandwidth_shape = numeric_util.full_shape(4, ifm_tensor.bandwidth_shape, 1) batch_size = ifm_tensor.shape[0] - ifm_tensor_shape = list(ifm_tensor.shape) - ifm_depth = ifm_tensor.bandwidth_shape[3] + ifm_depth = ifm_tensor_bandwidth_shape[3] # add in padding ifm_tensor_shape[1] += explicit_padding[0] + explicit_padding[2] # height += top and bottom @@ -313,7 +313,7 @@ def performance_metrics_for_pass(arch, ps, block_config=None, rewrite_list=[], f clamped_skirt[2] = min(clamped_skirt[2], sub_kernel_limits[0] - 1 - clamped_skirt[0]) clamped_skirt[3] = min(clamped_skirt[3], sub_kernel_limits[1] - 1 - clamped_skirt[1]) n_blocks, area, block_setup = get_n_blocks_and_area( - ifm_tensor.brick_size, + ifm_tensor_brick_size, ifm_tensor_shape[1:3], skirt, clamped_skirt, |