dnn-layer-mathbinary-test: add unit test for subtraction

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>

4 files changed, 180 insertions, 0 deletions

diff --git a/tests/dnn/.gitignore b/tests/dnn/.gitignore
index 5eedaaa56d..d78c5c1aec 100644
--- a/tests/dnn/.gitignore
+++ b/tests/dnn/.gitignore
@@ -2,3 +2,4 @@
 /dnn-layer-depth2space-test
 /dnn-layer-maximum-test
 /dnn-layer-pad-test
+/dnn-layer-mathbinary-test
diff --git a/tests/dnn/Makefile b/tests/dnn/Makefile
index e1bfe3fc91..1f96710821 100644
--- a/tests/dnn/Makefile
+++ b/tests/dnn/Makefile
@@ -1,6 +1,7 @@
 DNNTESTPROGS += dnn-layer-pad
 DNNTESTPROGS += dnn-layer-conv2d
 DNNTESTPROGS += dnn-layer-depth2space
+DNNTESTPROGS += dnn-layer-mathbinary
 DNNTESTPROGS += dnn-layer-maximum
 
 DNNTESTOBJS  := $(DNNTESTOBJS:%=$(DNNTESTSDIR)%) $(DNNTESTPROGS:%=$(DNNTESTSDIR)/%-test.o)
diff --git a/tests/dnn/dnn-layer-mathbinary-test.c b/tests/dnn/dnn-layer-mathbinary-test.c
new file mode 100644
index 0000000000..1243784b07
--- /dev/null
+++ b/tests/dnn/dnn-layer-mathbinary-test.c
@@ -0,0 +1,173 @@
+/*
+ * Copyright (c) 2020
+ *
+ * This file is part of FFmpeg.
+ *
+ * FFmpeg is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Lesser General Public
+ * License as published by the Free Software Foundation; either
+ * version 2.1 of the License, or (at your option) any later version.
+ *
+ * FFmpeg is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+ * Lesser General Public License for more details.
+ *
+ * You should have received a copy of the GNU Lesser General Public
+ * License along with FFmpeg; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+#include <stdio.h>
+#include <string.h>
+#include <math.h>
+#include "libavfilter/dnn/dnn_backend_native_layer_mathbinary.h"
+
+#define EPSON 0.00001
+
+static int test_sub_broadcast_input0(void)
+{
+    DnnLayerMathBinaryParams params;
+    DnnOperand operands[2];
+    int32_t input_indexes[1];
+    float input[1*1*2*3] = {
+        -3, 2.5, 2, -2.1, 7.8, 100
+    };
+    float *output;
+
+    params.bin_op = DMBO_SUB;
+    params.input0_broadcast = 1;
+    params.input1_broadcast = 0;
+    params.v = 7.28;
+
+    operands[0].data = input;
+    operands[0].dims[0] = 1;
+    operands[0].dims[1] = 1;
+    operands[0].dims[2] = 2;
+    operands[0].dims[3] = 3;
+    operands[1].data = NULL;
+
+    input_indexes[0] = 0;
+    dnn_execute_layer_math_binary(operands, input_indexes, 1, &params);
+
+    output = operands[1].data;
+    for (int i = 0; i < sizeof(input) / sizeof(float); i++) {
+        float expected_output = params.v - input[i];
+        if (fabs(output[i] - expected_output) > EPSON) {
+            printf("at index %d, output: %f, expected_output: %f\n", i, output[i], expected_output);
+            av_freep(&output);
+            return 1;
+        }
+    }
+
+    av_freep(&output);
+    return 0;
+}
+
+static int test_sub_broadcast_input1(void)
+{
+    DnnLayerMathBinaryParams params;
+    DnnOperand operands[2];
+    int32_t input_indexes[1];
+    float input[1*1*2*3] = {
+        -3, 2.5, 2, -2.1, 7.8, 100
+    };
+    float *output;
+
+    params.bin_op = DMBO_SUB;
+    params.input0_broadcast = 0;
+    params.input1_broadcast = 1;
+    params.v = 7.28;
+
+    operands[0].data = input;
+    operands[0].dims[0] = 1;
+    operands[0].dims[1] = 1;
+    operands[0].dims[2] = 2;
+    operands[0].dims[3] = 3;
+    operands[1].data = NULL;
+
+    input_indexes[0] = 0;
+    dnn_execute_layer_math_binary(operands, input_indexes, 1, &params);
+
+    output = operands[1].data;
+    for (int i = 0; i < sizeof(input) / sizeof(float); i++) {
+        float expected_output = input[i] - params.v;
+        if (fabs(output[i] - expected_output) > EPSON) {
+            printf("at index %d, output: %f, expected_output: %f\n", i, output[i], expected_output);
+            av_freep(&output);
+            return 1;
+        }
+    }
+
+    av_freep(&output);
+    return 0;
+}
+
+static int test_sub_no_broadcast(void)
+{
+    DnnLayerMathBinaryParams params;
+    DnnOperand operands[3];
+    int32_t input_indexes[2];
+    float input0[1*1*2*3] = {
+        -3, 2.5, 2, -2.1, 7.8, 100
+    };
+    float input1[1*1*2*3] = {
+        -1, 2, 3, -21, 8, 10.0
+    };
+    float *output;
+
+    params.bin_op = DMBO_SUB;
+    params.input0_broadcast = 0;
+    params.input1_broadcast = 0;
+
+    operands[0].data = input0;
+    operands[0].dims[0] = 1;
+    operands[0].dims[1] = 1;
+    operands[0].dims[2] = 2;
+    operands[0].dims[3] = 3;
+    operands[1].data = input1;
+    operands[1].dims[0] = 1;
+    operands[1].dims[1] = 1;
+    operands[1].dims[2] = 2;
+    operands[1].dims[3] = 3;
+    operands[2].data = NULL;
+
+    input_indexes[0] = 0;
+    input_indexes[1] = 1;
+    dnn_execute_layer_math_binary(operands, input_indexes, 2, &params);
+
+    output = operands[2].data;
+    for (int i = 0; i < sizeof(input0) / sizeof(float); i++) {
+        float expected_output = input0[i] - input1[i];
+        if (fabs(output[i] - expected_output) > EPSON) {
+            printf("at index %d, output: %f, expected_output: %f\n", i, output[i], expected_output);
+            av_freep(&output);
+            return 1;
+        }
+    }
+
+    av_freep(&output);
+    return 0;
+}
+
+static int test_sub(void)
+{
+    if (test_sub_broadcast_input0())
+        return 1;
+
+    if (test_sub_broadcast_input1())
+        return 1;
+
+    if (test_sub_no_broadcast())
+        return 1;
+
+    return 0;
+}
+
+int main(int argc, char **argv)
+{
+    if (test_sub())
+        return 1;
+
+    return 0;
+}
diff --git a/tests/fate/dnn.mak b/tests/fate/dnn.mak
index ec60b07600..5a8e6296a6 100644
--- a/tests/fate/dnn.mak
+++ b/tests/fate/dnn.mak
@@ -13,6 +13,11 @@ fate-dnn-layer-depth2space: $(DNNTESTSDIR)/dnn-layer-depth2space-test$(EXESUF)
 fate-dnn-layer-depth2space: CMD = run $(DNNTESTSDIR)/dnn-layer-depth2space-test$(EXESUF)
 fate-dnn-layer-depth2space: CMP = null
 
+FATE_DNN += fate-dnn-layer-mathbinary
+fate-dnn-layer-mathbinary: $(DNNTESTSDIR)/dnn-layer-mathbinary-test$(EXESUF)
+fate-dnn-layer-mathbinary: CMD = run $(DNNTESTSDIR)/dnn-layer-mathbinary-test$(EXESUF)
+fate-dnn-layer-mathbinary: CMP = null
+
 FATE_DNN += fate-dnn-layer-maximum
 fate-dnn-layer-maximum: $(DNNTESTSDIR)/dnn-layer-maximum-test$(EXESUF)
 fate-dnn-layer-maximum: CMD = run $(DNNTESTSDIR)/dnn-layer-maximum-test$(EXESUF)