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fix
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ChaiBapchya committed Mar 23, 2020
1 parent a5d55de commit e37c1cb
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Showing 2 changed files with 4 additions and 5 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -97,7 +97,7 @@ def run_rearrange_operators_benchmarks(ctx=mx.cpu(), dtype='float32', profiler='
mx_rearrange_ops = get_all_rearrange_operators()

# Run benchmarks
mx_rearrange_op_results = run_op_benchmarks(mx_rearrange_ops, dtype, ctx, profiler, warmup, runs)
mx_rearrange_op_results = run_op_benchmarks(mx_rearrange_ops, dtype, ctx, profiler, int64_tensor, warmup, runs)
return mx_rearrange_op_results


Expand Down Expand Up @@ -129,7 +129,7 @@ def run_shape_operators_benchmarks(ctx=mx.cpu(), dtype='float32', profiler='nati
mx_shape_ops = get_all_shape_operators()

# Run benchmarks
mx_shape_op_results = run_op_benchmarks(mx_shape_ops, dtype, ctx, profiler, warmup, runs)
mx_shape_op_results = run_op_benchmarks(mx_shape_ops, dtype, ctx, profiler, int64_tensor, warmup, runs)
return mx_shape_op_results


Expand Down Expand Up @@ -161,7 +161,7 @@ def run_expanding_operators_benchmarks(ctx=mx.cpu(), dtype='float32', profiler='
mx_expanding_ops = get_all_expanding_operators()

# Run benchmarks
mx_expanding_op_results = run_op_benchmarks(mx_expanding_ops, dtype, ctx, profiler, warmup, runs)
mx_expanding_op_results = run_op_benchmarks(mx_expanding_ops, dtype, ctx, profiler, int64_tensor, warmup, runs)
return mx_expanding_op_results


Expand Down Expand Up @@ -193,7 +193,7 @@ def run_rounding_operators_benchmarks(ctx=mx.cpu(), dtype='float32', profiler='n
mx_rounding_ops = get_all_rounding_operators()

# Run benchmarks
mx_rounding_op_results = run_op_benchmarks(mx_rounding_ops, dtype, ctx, profiler, warmup, runs)
mx_rounding_op_results = run_op_benchmarks(mx_rounding_ops, dtype, ctx, profiler, int64_tensor, warmup, runs)
return mx_rounding_op_results


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1 change: 0 additions & 1 deletion benchmark/opperf/rules/default_params.py
Original file line number Diff line number Diff line change
Expand Up @@ -603,7 +603,6 @@
"p": DEFAULT_P,
"k_nd": DEFAULT_K_ND_LARGE_TENSOR,
"p_nd": DEFAULT_P_ND_LARGE_TENSOR,
"axis_shape": DEFAULT_AXIS_SHAPE,
"axis": DEFAULT_AXIS,
"weight" : DEFAULT_WEIGHT_LARGE_TENSOR,
"weight32" : DEFAULT_WEIGHT_LARGE_TENSOR,
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