apeforest commented on a change in pull request #15475: Add transpose_conv, sorting and searching operator benchmarks to Opperf URL: https://github.com/apache/incubator-mxnet/pull/15475#discussion_r303193366
##########
File path: benchmark/opperf/nd_operations/nn_conv_operators.py
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@@ -135,3 +135,50 @@ def run_convolution_operators_benchmarks(ctx=mx.cpu(),
dtype='float32', warmup=2
# Prepare combined results
mx_conv_op_results = merge_map_list(conv1d_benchmark_res +
conv2d_benchmark_res)
return mx_conv_op_results
+
+
+def run_transpose_convolution_operators_benchmarks(ctx=mx.cpu(),
dtype='float32', warmup=10, runs=50):
+ # Conv1DTranspose Benchmarks
+ conv1d_transpose_benchmark_res = []
+ for conv_data in [(32, 3, 256), (32, 3, 64)]:
+ conv1d_transpose_benchmark_res +=
run_performance_test([getattr(MX_OP_MODULE, "Deconvolution")],
+
run_backward=True,
+ dtype=dtype,
+ ctx=ctx,
+
inputs=[{"data": conv_data,
+
"weight": (3, 64, 3),
+
"bias": (64,),
+
"kernel": (3,),
+
"stride": (1,),
+
"dilate": (1,),
+ "pad":
(0,),
+ "adj":
(0,),
+
"num_filter": 64,
+
"no_bias": False,
+
"layout": 'NCW'}
+ ],
+ warmup=warmup,
+ runs=runs)
+ # Conv2DTranspose Benchmarks
+ conv2d_transpose_benchmark_res = []
+ for conv_data in [(32, 3, 256, 256), (32, 3, 64, 64)]:
+ conv2d_transpose_benchmark_res +=
run_performance_test([getattr(MX_OP_MODULE, "Deconvolution")],
+
run_backward=True,
+ dtype=dtype,
+ ctx=ctx,
+
inputs=[{"data": conv_data,
+
"weight": (3, 64, 3, 3),
+
"bias": (64,),
+
"kernel": (3, 3),
+
"stride": (1, 1),
+
"dilate": (1, 1),
+ "pad":
(0, 0),
+
"num_filter": 64,
+
"no_bias": False,
+
"layout": 'NCHW'}
+ ],
+ warmup=warmup,
+ runs=runs)
+ # Prepare combined results
+ mx_transpose_conv_op_results =
merge_map_list(conv1d_transpose_benchmark_res + conv2d_transpose_benchmark_res)
+ return mx_transpose_conv_op_results
Review comment:
nit: add new line to the end of file.
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