clang format

src/targets/cpu/lowering.cpp

@@ -578,7 +578,7 @@ struct cpu_logsoftmax
     argument compute(context&, const shape& output_shape, std::vector<argument> args) const
     {
         argument result{output_shape};
-        auto batch_lens = output_shape.lens();
+        auto batch_lens     = output_shape.lens();
         batch_lens[op.axis] = 1;
         shape batch_shape{shape::int32_type, batch_lens};
 

src/targets/gpu/device/logsoftmax.cpp

@@ -17,10 +17,10 @@ argument logsoftmax(hipStream_t stream,
                     int axis)
 {
 
-    auto lens              = output_shape.lens();
+    auto lens         = output_shape.lens();
     auto num_in_batch = lens[axis];
-    auto batch_lens = lens;
-    batch_lens[axis] = 1;
+    auto batch_lens   = lens;
+    batch_lens[axis]  = 1;
     migraphx::shape batch_shape{output_shape.type(), batch_lens};
 
     visit_all(args.back(), args.front())([&](auto output, auto input) {
@@ -33,21 +33,21 @@ argument logsoftmax(hipStream_t stream,
             // each thread is for one item in the batch
             gs_launch(stream, batch_shape.elements())([=](auto i) {
                 auto batch_idx = desc_batch.multi(i);
-                auto data_idx = batch_idx;
+                auto data_idx  = batch_idx;
 
                 // get max
                 auto batch_max = input_ptr[desc_data.linear(batch_idx)];
                 for(std::size_t j = 1; j < num_in_batch; ++j)
                 {
                     data_idx[axis] = j;
-                    size_t idx = desc_data.linear(data_idx);
-                    batch_max = std::max(to_hip_type(batch_max), to_hip_type(input_ptr[idx]));
+                    size_t idx     = desc_data.linear(data_idx);
+                    batch_max      = std::max(to_hip_type(batch_max), to_hip_type(input_ptr[idx]));
                 }
 
                 for(std::size_t j = 0; j < num_in_batch; ++j)
                 {
-                    data_idx[axis] = j;
-                    size_t idx = desc_data.linear(data_idx);
+                    data_idx[axis]  = j;
+                    size_t idx      = desc_data.linear(data_idx);
                     output_ptr[idx] = input_ptr[idx] - batch_max;
                 }
 
@@ -55,7 +55,7 @@ argument logsoftmax(hipStream_t stream,
                 for(std::size_t j = 1; j < num_in_batch; ++j)
                 {
                     data_idx[axis] = j;
-                    size_t idx = desc_data.linear(data_idx);
+                    size_t idx     = desc_data.linear(data_idx);
                     batch_sum += ::exp(to_hip_type(output_ptr[idx]));
                 }
                 batch_sum = ::log(to_hip_type(batch_sum));
@@ -63,7 +63,7 @@ argument logsoftmax(hipStream_t stream,
                 for(std::size_t j = 0; j < num_in_batch; ++j)
                 {
                     data_idx[axis] = j;
-                    size_t idx = desc_data.linear(data_idx);
+                    size_t idx     = desc_data.linear(data_idx);
                     output_ptr[idx] -= batch_sum;
                 }
             });

test/cpu_ops_test.cpp

@@ -1002,14 +1002,12 @@ TEST_CASE(logsoftmax_test_axis_0)
         -0.99628491, 1.04314606,  -1.22943315, 0.76930403,  0.31106618};
 
     std::vector<float> s = {
-        -0.135261, -2.843968, -0.659995, -0.488413, -1.051857, -2.812936,
-        -0.250956, -0.353985, -1.155980, -0.603651, -0.211969, -0.175371,
-        -1.336552, -3.885010, -1.871544, -0.837083, -0.887745, -0.433338,
-        -1.158864, -4.911197, -1.147972, -0.666711, -0.996874, -0.981418,
-        -0.851145, -0.853988, -0.858112, -2.067420, -0.059956, -0.727436,
-        -0.950881, -0.429689, -0.061906, -1.505332, -1.210277, -0.377970,
-        -0.791448, -1.655428, -1.827253, -0.304828, -0.020762, -0.167101,
-        -0.567346, -0.530319, -1.045094, -0.376648, -0.007391, -0.381670,
+        -0.135261, -2.843968, -0.659995, -0.488413, -1.051857, -2.812936, -0.250956, -0.353985,
+        -1.155980, -0.603651, -0.211969, -0.175371, -1.336552, -3.885010, -1.871544, -0.837083,
+        -0.887745, -0.433338, -1.158864, -4.911197, -1.147972, -0.666711, -0.996874, -0.981418,
+        -0.851145, -0.853988, -0.858112, -2.067420, -0.059956, -0.727436, -0.950881, -0.429689,
+        -0.061906, -1.505332, -1.210277, -0.377970, -0.791448, -1.655428, -1.827253, -0.304828,
+        -0.020762, -0.167101, -0.567346, -0.530319, -1.045094, -0.376648, -0.007391, -0.381670,
         -0.720302, -0.460499, -0.469651, -0.556740, -0.554628, -0.551582};
 
     migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 3, 3}};
@@ -1037,14 +1035,12 @@ TEST_CASE(logsoftmax_test_axis_1)
         -0.99628491, 1.04314606,  -1.22943315, 0.76930403,  0.31106618};
 
     std::vector<float> s = {
-        -0.550468, -2.132973, -1.549746, -0.650533, -1.051529, -2.248570,
-        -0.141017, -2.028357, -1.947730, -1.511324, -0.166597, -0.379726,
-        -1.965689, -1.172109, -1.475721, -2.700831, -1.537011, -0.658754,
-        -1.596017, -3.353137, -2.266743, -1.084197, -1.076214, -0.406712,
-        -2.743019, -0.425526, -1.079083, -2.139486, -1.270584, -1.024088,
-        -1.154231, -3.201762, -0.888957, -0.532855, -3.103583, -1.221339,
-        -1.355980, -3.531678, -1.438510, -0.975194, -0.080261, -1.162697,
-        -1.568557, -1.398519, -1.322129, -0.470660, -0.370953, -0.907343,
+        -0.550468, -2.132973, -1.549746, -0.650533, -1.051529, -2.248570, -0.141017, -2.028357,
+        -1.947730, -1.511324, -0.166597, -0.379726, -1.965689, -1.172109, -1.475721, -2.700831,
+        -1.537011, -0.658754, -1.596017, -3.353137, -2.266743, -1.084197, -1.076214, -0.406712,
+        -2.743019, -0.425526, -1.079083, -2.139486, -1.270584, -1.024088, -1.154231, -3.201762,
+        -0.888957, -0.532855, -3.103583, -1.221339, -1.355980, -3.531678, -1.438510, -0.975194,
+        -0.080261, -1.162697, -1.568557, -1.398519, -1.322129, -0.470660, -0.370953, -0.907343,
         -1.179017, -3.312239, -1.286363, -1.586076, -0.345100, -0.824173};
 
     migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 3, 3}};
@@ -1072,14 +1068,12 @@ TEST_CASE(logsoftmax_test_axis_2)
         -0.99628491, 1.04314606,  -1.22943315, 0.76930403,  0.31106618};
 
     std::vector<float> s = {
-        -0.495957, -1.031212, -0.245531, -2.013726, -1.339125, -2.465619,
-        -1.356652, -0.964037, -2.019250, -0.214522, -0.289569, -0.234392,
-        -2.086591, -2.684439, -2.851651, -2.674176, -1.697424, -1.889155,
-        -0.401029, -3.064586, -1.173030, -1.306912, -2.177020, -0.834262,
-        -2.818177, -0.174415, -1.361105, -1.024571, -0.106766, -1.167645,
-        -1.072650, -2.576522, -0.569261, -1.207483, -3.679894, -2.095913,
-        -0.504264, -3.039291, -1.290559, -1.156812, -0.126453, -0.551493,
-        -2.506384, -2.646261, -1.905195, -0.206994, -0.191369, -0.959754,
+        -0.495957, -1.031212, -0.245531, -2.013726, -1.339125, -2.465619, -1.356652, -0.964037,
+        -2.019250, -0.214522, -0.289569, -0.234392, -2.086591, -2.684439, -2.851651, -2.674176,
+        -1.697424, -1.889155, -0.401029, -3.064586, -1.173030, -1.306912, -2.177020, -0.834262,
+        -2.818177, -0.174415, -1.361105, -1.024571, -0.106766, -1.167645, -1.072650, -2.576522,
+        -0.569261, -1.207483, -3.679894, -2.095913, -0.504264, -3.039291, -1.290559, -1.156812,
+        -0.126453, -0.551493, -2.506384, -2.646261, -1.905195, -0.206994, -0.191369, -0.959754,
         -1.948685, -3.671233, -0.875521, -3.111952, -1.905644, -1.6076011};
 
     migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 3, 3}};
@@ -1107,14 +1101,12 @@ TEST_CASE(logsoftmax_test_axis_3)
         -0.99628491, 1.04314606,  -1.22943315, 0.76930403,  0.31106618};
 
     std::vector<float> s = {
-        -0.336904, -3.475825, -1.366154, -0.279366, -2.208430, -2.010934,
-        -0.225511, -2.436562, -2.167785, -1.572415, -1.784104, -0.470789,
-        -1.067459, -1.801948, -0.711023, -2.307197, -1.467087, -0.400681,
-        -0.426983, -3.740518, -1.127681, -1.078919, -2.599005, -0.534965,
-        -2.561400, -0.567617, -1.033025, -2.097713, -0.520463, -1.262245,
-        -1.763230, -2.607658, -0.281299, -0.814243, -2.627210, -0.724131,
-        -0.655704, -2.123055, -1.018163, -2.480634, -0.382599, -1.451479,
-        -1.843102, -0.915303, -0.818078, -1.316929, -0.508875, -2.033541,
+        -0.336904, -3.475825, -1.366154, -0.279366, -2.208430, -2.010934, -0.225511, -2.436562,
+        -2.167785, -1.572415, -1.784104, -0.470789, -1.067459, -1.801948, -0.711023, -2.307197,
+        -1.467087, -0.400681, -0.426983, -3.740518, -1.127681, -1.078919, -2.599005, -0.534965,
+        -2.561400, -0.567617, -1.033025, -2.097713, -0.520463, -1.262245, -1.763230, -2.607658,
+        -0.281299, -0.814243, -2.627210, -0.724131, -0.655704, -2.123055, -1.018163, -2.480634,
+        -0.382599, -1.451479, -1.843102, -0.915303, -0.818078, -1.316929, -0.508875, -2.033541,
         -1.487672, -2.417791, -0.378360, -2.568531, -0.569794, -1.028032};
 
     migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 3, 3}};