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| author | Michael McGeagh <michael.mcgeagh@arm.com> | 2020-12-02 12:39:03 +0000 |
|---|---|---|
| committer | patrik.gustavsson <patrik.gustavsson@arm.com> | 2020-12-08 14:58:19 +0000 |
| commit | f3e3ad746de943e312c290d614184c0f6559ac1f (patch) | |
| tree | 44f6eac5a6b1aec4114ad2c2faddced820ea1e17 /ethosu/vela/npu_performance.py | |
| parent | d9c2c4258c50f04ef3a6c3849508d317249e8ebf (diff) | |
| download | ethos-u-vela-f3e3ad746de943e312c290d614184c0f6559ac1f.tar.gz | |
MLBEDSW-2836 Change sets to tuples
Replace conditional checks against sets with tuples.
If not requiring uniqueness, or complex set operations, it is quicker to
use tuples instead.
Signed-off-by: Michael McGeagh <michael.mcgeagh@arm.com>
Change-Id: Ie8732c8d46067244963936c53f0ec81adda50372
Diffstat (limited to 'ethosu/vela/npu_performance.py')
| -rw-r--r-- | ethosu/vela/npu_performance.py | 20 |
1 files changed, 9 insertions, 11 deletions
diff --git a/ethosu/vela/npu_performance.py b/ethosu/vela/npu_performance.py index d28df97d..2d7a1b09 100644 --- a/ethosu/vela/npu_performance.py +++ b/ethosu/vela/npu_performance.py @@ -45,7 +45,7 @@ def rolling_buffer_dims_from_passes(arch, ps1, block_config_ps1, ps2, block_conf ofm_block = Block(block_config_ps2[-3], block_config_ps2[-4], block_config_ps2[-1]) kernel = ps2.primary_op.kernel - if ps2.npu_block_type in set((NpuBlockType.ConvolutionMxN, NpuBlockType.VectorProduct)): + if ps2.npu_block_type in (NpuBlockType.ConvolutionMxN, NpuBlockType.VectorProduct): op = ps2.primary_op ifm_block_depth = arch.calc_ifm_block_depth(op.ifm.shape[-1], op.ifm.dtype.size_in_bits()) else: @@ -499,7 +499,7 @@ def performance_metrics_for_pass(arch, ps, block_config=None, rewrite_list=None, ifm_read_multiple = 1 weight_read_multiple = 0 - if ps.placement in set((PassPlacement.MemoryOnly, PassPlacement.StartupInit)): + if ps.placement in (PassPlacement.MemoryOnly, PassPlacement.StartupInit): return bws, macs, cycles, blocks, ifm_read_multiple, weight_read_multiple # nothing real happening in this pass min_block_size = arch.min_block_sizes[ps.npu_block_type] @@ -537,13 +537,11 @@ def performance_metrics_for_pass(arch, ps, block_config=None, rewrite_list=None, ifm_block_depth, ofm_block, primary_op.kernel, ifm_resampling_mode=ifm_tensor.resampling_mode ) - if npu_block_type in set( - ( - NpuBlockType.ConvolutionMxN, - NpuBlockType.ConvolutionDepthWise, - NpuBlockType.Pooling, - NpuBlockType.ReduceSum, - ) + if npu_block_type in ( + NpuBlockType.ConvolutionMxN, + NpuBlockType.ConvolutionDepthWise, + NpuBlockType.Pooling, + NpuBlockType.ReduceSum, ): # extent the ifm to full dimension ifm_tensor_brick_size = tuple(numeric_util.full_shape(4, list(ifm_tensor.brick_size), 1)) @@ -640,8 +638,8 @@ def performance_metrics_for_pass(arch, ps, block_config=None, rewrite_list=None, n_kernel_xy = kernel_dims[0] * kernel_dims[1] n_input_channels_at_a_time = block_config[2] - if npu_block_type == NpuBlockType.Pooling or block_traversal in set( - (TensorBlockTraversal.PartKernelFirst, TensorBlockTraversal.DepthWise) + if (npu_block_type == NpuBlockType.Pooling) or ( + block_traversal in (TensorBlockTraversal.PartKernelFirst, TensorBlockTraversal.DepthWise) ): n_input_channels_at_a_time = numeric_util.round_up_divide(n_input_channels_at_a_time, 4) n_kernel_xy = max( |