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dnn-layer-mathbinary-test: add unit test for subtraction
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
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ffa1561608
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tests/dnn/.gitignore
vendored
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tests/dnn/.gitignore
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@ -2,3 +2,4 @@
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/dnn-layer-depth2space-test
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/dnn-layer-depth2space-test
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/dnn-layer-maximum-test
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/dnn-layer-maximum-test
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/dnn-layer-pad-test
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/dnn-layer-pad-test
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/dnn-layer-mathbinary-test
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@ -1,6 +1,7 @@
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DNNTESTPROGS += dnn-layer-pad
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DNNTESTPROGS += dnn-layer-pad
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DNNTESTPROGS += dnn-layer-conv2d
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DNNTESTPROGS += dnn-layer-conv2d
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DNNTESTPROGS += dnn-layer-depth2space
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DNNTESTPROGS += dnn-layer-depth2space
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DNNTESTPROGS += dnn-layer-mathbinary
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DNNTESTPROGS += dnn-layer-maximum
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DNNTESTPROGS += dnn-layer-maximum
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DNNTESTOBJS := $(DNNTESTOBJS:%=$(DNNTESTSDIR)%) $(DNNTESTPROGS:%=$(DNNTESTSDIR)/%-test.o)
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DNNTESTOBJS := $(DNNTESTOBJS:%=$(DNNTESTSDIR)%) $(DNNTESTPROGS:%=$(DNNTESTSDIR)/%-test.o)
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173
tests/dnn/dnn-layer-mathbinary-test.c
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173
tests/dnn/dnn-layer-mathbinary-test.c
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/*
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* Copyright (c) 2020
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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#include <stdio.h>
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#include <string.h>
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#include <math.h>
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#include "libavfilter/dnn/dnn_backend_native_layer_mathbinary.h"
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#define EPSON 0.00001
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static int test_sub_broadcast_input0(void)
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{
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DnnLayerMathBinaryParams params;
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DnnOperand operands[2];
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int32_t input_indexes[1];
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float input[1*1*2*3] = {
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-3, 2.5, 2, -2.1, 7.8, 100
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};
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float *output;
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params.bin_op = DMBO_SUB;
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params.input0_broadcast = 1;
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params.input1_broadcast = 0;
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params.v = 7.28;
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operands[0].data = input;
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operands[0].dims[0] = 1;
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operands[0].dims[1] = 1;
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operands[0].dims[2] = 2;
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operands[0].dims[3] = 3;
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operands[1].data = NULL;
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input_indexes[0] = 0;
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dnn_execute_layer_math_binary(operands, input_indexes, 1, ¶ms);
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output = operands[1].data;
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for (int i = 0; i < sizeof(input) / sizeof(float); i++) {
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float expected_output = params.v - input[i];
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if (fabs(output[i] - expected_output) > EPSON) {
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printf("at index %d, output: %f, expected_output: %f\n", i, output[i], expected_output);
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av_freep(&output);
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return 1;
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}
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}
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av_freep(&output);
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return 0;
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}
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static int test_sub_broadcast_input1(void)
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{
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DnnLayerMathBinaryParams params;
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DnnOperand operands[2];
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int32_t input_indexes[1];
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float input[1*1*2*3] = {
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-3, 2.5, 2, -2.1, 7.8, 100
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};
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float *output;
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params.bin_op = DMBO_SUB;
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params.input0_broadcast = 0;
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params.input1_broadcast = 1;
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params.v = 7.28;
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operands[0].data = input;
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operands[0].dims[0] = 1;
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operands[0].dims[1] = 1;
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operands[0].dims[2] = 2;
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operands[0].dims[3] = 3;
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operands[1].data = NULL;
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input_indexes[0] = 0;
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dnn_execute_layer_math_binary(operands, input_indexes, 1, ¶ms);
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output = operands[1].data;
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for (int i = 0; i < sizeof(input) / sizeof(float); i++) {
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float expected_output = input[i] - params.v;
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if (fabs(output[i] - expected_output) > EPSON) {
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printf("at index %d, output: %f, expected_output: %f\n", i, output[i], expected_output);
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av_freep(&output);
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return 1;
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}
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}
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av_freep(&output);
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return 0;
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}
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static int test_sub_no_broadcast(void)
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{
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DnnLayerMathBinaryParams params;
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DnnOperand operands[3];
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int32_t input_indexes[2];
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float input0[1*1*2*3] = {
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-3, 2.5, 2, -2.1, 7.8, 100
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};
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float input1[1*1*2*3] = {
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-1, 2, 3, -21, 8, 10.0
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};
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float *output;
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params.bin_op = DMBO_SUB;
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params.input0_broadcast = 0;
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params.input1_broadcast = 0;
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operands[0].data = input0;
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operands[0].dims[0] = 1;
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operands[0].dims[1] = 1;
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operands[0].dims[2] = 2;
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operands[0].dims[3] = 3;
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operands[1].data = input1;
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operands[1].dims[0] = 1;
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operands[1].dims[1] = 1;
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operands[1].dims[2] = 2;
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operands[1].dims[3] = 3;
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operands[2].data = NULL;
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input_indexes[0] = 0;
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input_indexes[1] = 1;
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dnn_execute_layer_math_binary(operands, input_indexes, 2, ¶ms);
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output = operands[2].data;
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for (int i = 0; i < sizeof(input0) / sizeof(float); i++) {
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float expected_output = input0[i] - input1[i];
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if (fabs(output[i] - expected_output) > EPSON) {
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printf("at index %d, output: %f, expected_output: %f\n", i, output[i], expected_output);
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av_freep(&output);
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return 1;
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}
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}
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av_freep(&output);
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return 0;
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}
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static int test_sub(void)
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{
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if (test_sub_broadcast_input0())
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return 1;
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if (test_sub_broadcast_input1())
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return 1;
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if (test_sub_no_broadcast())
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return 1;
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return 0;
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}
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int main(int argc, char **argv)
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{
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if (test_sub())
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return 1;
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return 0;
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}
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@ -13,6 +13,11 @@ fate-dnn-layer-depth2space: $(DNNTESTSDIR)/dnn-layer-depth2space-test$(EXESUF)
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fate-dnn-layer-depth2space: CMD = run $(DNNTESTSDIR)/dnn-layer-depth2space-test$(EXESUF)
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fate-dnn-layer-depth2space: CMD = run $(DNNTESTSDIR)/dnn-layer-depth2space-test$(EXESUF)
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fate-dnn-layer-depth2space: CMP = null
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fate-dnn-layer-depth2space: CMP = null
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FATE_DNN += fate-dnn-layer-mathbinary
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fate-dnn-layer-mathbinary: $(DNNTESTSDIR)/dnn-layer-mathbinary-test$(EXESUF)
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fate-dnn-layer-mathbinary: CMD = run $(DNNTESTSDIR)/dnn-layer-mathbinary-test$(EXESUF)
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fate-dnn-layer-mathbinary: CMP = null
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FATE_DNN += fate-dnn-layer-maximum
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FATE_DNN += fate-dnn-layer-maximum
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fate-dnn-layer-maximum: $(DNNTESTSDIR)/dnn-layer-maximum-test$(EXESUF)
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fate-dnn-layer-maximum: $(DNNTESTSDIR)/dnn-layer-maximum-test$(EXESUF)
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fate-dnn-layer-maximum: CMD = run $(DNNTESTSDIR)/dnn-layer-maximum-test$(EXESUF)
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fate-dnn-layer-maximum: CMD = run $(DNNTESTSDIR)/dnn-layer-maximum-test$(EXESUF)
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