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November 13, 2020 16:01
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| # This file contains custom benchmark configs, in addition to the ones generated | |
| # in the source code. | |
| # CUDA 9.x + Volta performance regressions in cuDNN from 7.1.4 to 7.3.0, but then fixed in 7.3.1. | |
| convolution_benchmark { | |
| label: "NHWC_128x20x20x56x160" | |
| input { | |
| dimension: [128, 56, 20, 20] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [160, 56, 5, 5] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [128, 160, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| fwd_algo: CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM | |
| } | |
| # CUDA 9.x + Volta performance regressions in cuDNN from 7.1.4 to 7.3.0, but then fixed in 7.3.1. | |
| convolution_benchmark { | |
| label: "NHWC_512x27x27x64x192" | |
| input { | |
| dimension: [512, 64, 27, 27] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [192, 64, 5, 5] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [512, 192, 27, 27] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [2, 2] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_data_algo: CONVOLUTION_BWD_DATA_ALGO_1 | |
| } | |
| # CUDA 9.x + Volta performance regressions in cuDNN 7.3.0 -> 7.3.1. | |
| # See nvbugs/2414937. | |
| convolution_benchmark { | |
| label: "NHWC_128x32x32x128x256" | |
| input { | |
| dimension: [128, 128, 32, 32] | |
| data_type: DATA_HALF format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [256, 128, 5, 1] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [128, 256, 32, 32] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [2, 0] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_filter_algo: CONVOLUTION_BWD_FILTER_ALGO_1 | |
| } | |
| convolution_benchmark { | |
| label: "NHWC_128x32x32x128x1024" | |
| input { | |
| dimension: [128, 128, 32, 32] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [1024, 128, 1, 1] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [128, 1024, 32, 32] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_filter_algo: CONVOLUTION_BWD_FILTER_ALGO_0 | |
| } | |
| convolution_benchmark { | |
| label: "NHWC_128x32x32x1024x1024" | |
| input { | |
| dimension: [128, 1024, 32, 32] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [1024, 1024, 1, 1] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [128, 1024, 32, 32] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_filter_algo: CONVOLUTION_BWD_FILTER_ALGO_0 | |
| } | |
| convolution_benchmark { | |
| label: "NHWC_128x32x32x1024x768" | |
| input { | |
| dimension: [128, 1024, 32, 32] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [768, 1024, 1, 1] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [128, 768, 32, 32] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_filter_algo: CONVOLUTION_BWD_FILTER_ALGO_0 | |
| } | |
| # end of 7.3.0 -> 7.3.1 regressions | |
| convolution_benchmark { | |
| label: "NHWC_BWD_FILTER_128x20x20x88x160" | |
| input { | |
| dimension: [128, 88, 20, 20] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [160, 88, 5, 5] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [128, 160, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_filter_algo: CONVOLUTION_BWD_FILTER_ALGO_1 | |
| } | |
| convolution_benchmark { | |
| label: "NHWC_BWD_FILTER_128x20x20x56x160" | |
| input { | |
| dimension: [128, 56, 20, 20] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [160, 56, 5, 5] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [128, 160, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_filter_algo: CONVOLUTION_BWD_FILTER_ALGO_1 | |
| } | |
| convolution_benchmark { | |
| label: "NHWC_BWD_FILTER_128x20x20x56x160" | |
| input { | |
| dimension: [128, 56, 20, 20] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [160, 56, 5, 5] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [128, 160, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_filter_algo: CONVOLUTION_BWD_FILTER_ALGO_1 | |
| } | |
| # These (NCHW|NHWC)_BWD_DATA_128_[89]_32_32 tests show that NCHW is faster than NHWC on Volta, CUDA 9.0, cuDNN 7.4.x. | |
| convolution_benchmark { | |
| label: "NCHW_BWD_DATA_128_9_32_32_160_ALGO_0" | |
| input { | |
| dimension: [128, 9, 32, 32], | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| filter { | |
| dimension: [160, 9, 2, 2] | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| output { | |
| dimension: [128, 160, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| filter_stride: [2, 2] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_data_algo: CONVOLUTION_BWD_DATA_ALGO_0 | |
| } | |
| convolution_benchmark { | |
| label: "NCHW_BWD_DATA_128_9_32_32_160_ALGO_1" | |
| input { | |
| dimension: [128, 9, 32, 32], | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| filter { | |
| dimension: [160, 9, 2, 2] | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| output { | |
| dimension: [128, 160, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| filter_stride: [2, 2] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_data_algo: CONVOLUTION_BWD_DATA_ALGO_1 | |
| } | |
| convolution_benchmark { | |
| label: "NCHW_BWD_DATA_128_8_32_32_160_ALGO_1" | |
| input { | |
| dimension: [128, 8, 32, 32], | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| filter { | |
| dimension: [160, 8, 2, 2] | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| output { | |
| dimension: [128, 160, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| filter_stride: [2, 2] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_data_algo: CONVOLUTION_BWD_DATA_ALGO_1 | |
| } | |
| convolution_benchmark { | |
| label: "NCHW_BWD_DATA_128_8_32_32_40_ALGO_0" | |
| input { | |
| dimension: [128, 8, 32, 32], | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| filter { | |
| dimension: [40, 8, 2, 2] | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| output { | |
| dimension: [128, 40, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| filter_stride: [2, 2] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_data_algo: CONVOLUTION_BWD_DATA_ALGO_0 | |
| } | |
| convolution_benchmark { | |
| label: "NCHW_BWD_DATA_128_8_32_32_40_ALGO_1" | |
| input { | |
| dimension: [128, 8, 32, 32], | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| filter { | |
| dimension: [40, 8, 2, 2] | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| output { | |
| dimension: [128, 40, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NCHW | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| filter_stride: [2, 2] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_data_algo: CONVOLUTION_BWD_DATA_ALGO_1 | |
| } | |
| convolution_benchmark { | |
| label: "NHWC_BWD_DATA_128_9_32_32_160_ALGO_1" | |
| input { | |
| dimension: [128, 9, 32, 32], | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [160, 9, 2, 2] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [128, 160, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| filter_stride: [2, 2] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_data_algo: CONVOLUTION_BWD_DATA_ALGO_1 | |
| } | |
| convolution_benchmark { | |
| label: "NHWC_BWD_DATA_128_8_32_32_160_ALGO_1" | |
| input { | |
| dimension: [128, 8, 32, 32], | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [160, 8, 2, 2] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [128, 160, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| filter_stride: [2, 2] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_data_algo: CONVOLUTION_BWD_DATA_ALGO_1 | |
| } | |
| convolution_benchmark { | |
| label: "NHWC_BWD_DATA_128_8_32_32_40_ALGO_1" | |
| input { | |
| dimension: [128, 8, 32, 32], | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| filter { | |
| dimension: [40, 8, 2, 2] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| output { | |
| dimension: [128, 40, 16, 16] | |
| data_type: DATA_HALF | |
| format: TENSOR_NHWC | |
| } | |
| convolution { | |
| pad: [0, 0] | |
| filter_stride: [2, 2] | |
| compute_mode: DATA_FLOAT | |
| math_type: TENSOR_OP_MATH | |
| mode: CROSS_CORRELATION | |
| } | |
| bwd_data_algo: CONVOLUTION_BWD_DATA_ALGO_1 | |
| } |
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