update some FPGA v2 files after rerun clang-format5.0, test=mobile

mobile/src/fpga/V2/bias_scale.cpp

@@ -13,8 +13,8 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "fpga/V2/bias_scale.h"
-#include <memory.h>
 #include <math.h>
+#include <memory.h>
 #include "fpga/common/fpga_common.h"
 
 namespace paddle_mobile {
@@ -56,13 +56,14 @@ void align_element(float **data_in, int num_per_div_before_alignment, int num) {
   *data_in = ptr_aligned;
 }
 
-void fixed_scale_bias_new(void*data_in, int data_len) {
-    int* data_tmp = static_cast<int*>(data_in);
-    for (int idx = 0; idx < data_len/2; ++idx) {
-        float tmp = (static_cast<float*>(data_in))[idx];
-        data_tmp[idx] = static_cast<int>(round(tmp*pow(2.0, 23.0)));
-        tmp = (static_cast<float*>(data_in))[idx+data_len/2];
-        data_tmp[idx+data_len/2] = static_cast<int>(round(tmp*pow(2.0, 30.0)));
+void fixed_scale_bias_new(void *data_in, int data_len) {
+  int *data_tmp = static_cast<int *>(data_in);
+  for (int idx = 0; idx < data_len / 2; ++idx) {
+    float tmp = (static_cast<float *>(data_in))[idx];
+    data_tmp[idx] = static_cast<int>(round(tmp * pow(2.0, 23.0)));
+    tmp = (static_cast<float *>(data_in))[idx + data_len / 2];
+    data_tmp[idx + data_len / 2] =
+        static_cast<int>(round(tmp * pow(2.0, 30.0)));
   }
   return;
 }

mobile/src/fpga/V2/image.cpp

@@ -94,8 +94,7 @@ void concat_images(int8_t **images_in, float **scales_in, void *image_out,
       for (i = 0; i < image_num; i++) {
         align_each_in_area_cw =
             align_to_x(channel_num[i] * width, IMAGE_ALIGNMENT);
-        memcpy(
-            (int8_t *)image_out + tmp_channel +  // NOLINT
+        memcpy((int8_t *)image_out + tmp_channel +  // NOLINT
                    k * align_each_out_area_cw_differ,
                images_in[i] + j * channel_num[i] + k * align_each_in_area_cw,
                channel_num[i] * sizeof(int8_t));

mobile/src/fpga/V2/pe.cpp

@@ -369,45 +369,49 @@ int ComputeFpgaPool(const struct PoolingArgs &args) {
   uint64_t cmd = 0;
   uint64_t image_physical_address = 0;
   uint64_t output_physical_address = 0;
-uint64_t bypass_interrupt = reg_readq(REG_INTERRUPT);
+  uint64_t bypass_interrupt = reg_readq(REG_INTERRUPT);
   image_physical_address = vaddr_to_paddr(args.image.address);
   output_physical_address = vaddr_to_paddr(args.output.address);
   uint64_t C_paral_64 = align_to_x((uint64_t)args.image.channels, 64);
   uint64_t C_align_32 = align_to_x((uint64_t)args.image.channels, 32);
   uint64_t output_height = (uint64_t)(
       (args.image.height + args.image.pad_height * 2 - args.kernel.height) /
-          args.kernel.stride_h + 1);
+          args.kernel.stride_h +
+      1);
   uint64_t output_width = (uint64_t)(
       (args.image.width + args.image.pad_width * 2 - args.kernel.width) /
-           args.kernel.stride_w + 1);
+          args.kernel.stride_w +
+      1);
 
   uint64_t image_amount_per_row =
       align_to_x((uint64_t)args.image.width * (uint64_t)args.image.channels,
                  IMAGE_ALIGNMENT);
-  uint64_t image_one_pad_per_row = (uint64_t)args.image.width *
-          (uint64_t)args.image.channels +(uint64_t)args.image.pad_width *
-          (uint64_t)args.image.channels;
+  uint64_t image_one_pad_per_row =
+      (uint64_t)args.image.width * (uint64_t)args.image.channels +
+      (uint64_t)args.image.pad_width * (uint64_t)args.image.channels;
 
-  uint64_t result_amount_align_32 = align_to_x((uint64_t)output_width *
-          (uint64_t)args.image.channels, 32);
+  uint64_t result_amount_align_32 =
+      align_to_x((uint64_t)output_width * (uint64_t)args.image.channels, 32);
   uint64_t result_addr_row =
       (result_amount_align_32 << 32) | output_physical_address;
   uint64_t row_padding_down =
       (uint64_t)args.image.height + (uint64_t)args.image.pad_height;
-  uint64_t kernel_width_sub1 =
-          (uint64_t)args.kernel.width - 1;
+  uint64_t kernel_width_sub1 = (uint64_t)args.kernel.width - 1;
   uint64_t kernel_padding_step = row_padding_down |
                                  ((uint64_t)args.image.pad_height << 16) |
                                  ((uint64_t)args.kernel.stride_h << 24) |
-          ((uint64_t)kernel_width_sub1<<32) |
+                                 ((uint64_t)kernel_width_sub1 << 32) |
                                  ((uint64_t)args.kernel.height << 40) |
-          ((uint64_t)(args.kernel.height-1) << 48);
-  uint64_t image_calcu_height = (uint64_t)args.kernel.height +
+                                 ((uint64_t)(args.kernel.height - 1) << 48);
+  uint64_t image_calcu_height =
+      (uint64_t)args.kernel.height +
       (output_height - 1) * (uint64_t)args.kernel.stride_h;
   uint64_t result_size_calcu_height = (output_height - 1) |
-          ((output_width - 1) << 16) | (image_calcu_height << 32);
-  uint64_t col_padding_down = ((uint64_t)args.image.width +
-          (uint64_t)args.image.pad_width) * (uint64_t)args.image.channels;
+                                      ((output_width - 1) << 16) |
+                                      (image_calcu_height << 32);
+  uint64_t col_padding_down =
+      ((uint64_t)args.image.width + (uint64_t)args.image.pad_width) *
+      (uint64_t)args.image.channels;
 
   uint64_t image_row_col_padding_down =
       image_amount_per_row | (col_padding_down << 32);
@@ -423,17 +427,16 @@ uint64_t bypass_interrupt = reg_readq(REG_INTERRUPT);
       (uint64_t)args.image.channels * (uint64_t)args.kernel.stride_w;
   uint64_t channelXpad_w_channelXstep_w =
       channelXpad_w | (channelXstep_w << 32);
-  uint64_t filter_row_align =
-      C_align_32 * (uint64_t)args.kernel.width;
-  uint64_t sub_filter_amount_align = C_align_32 *
-          (uint64_t)args.kernel.width * (uint64_t)args.kernel.height;
+  uint64_t filter_row_align = C_align_32 * (uint64_t)args.kernel.width;
+  uint64_t sub_filter_amount_align =
+      C_align_32 * (uint64_t)args.kernel.width * (uint64_t)args.kernel.height;
   uint64_t mult_factor = 0;
   float average_reciprocal = args.kernel_reciprocal;
-  uint32_t* kernel_reciprocal;
-  kernel_reciprocal =(reinterpret_cast<uint32_t*>(&average_reciprocal));
+  uint32_t *kernel_reciprocal;
+  kernel_reciprocal = (reinterpret_cast<uint32_t *>(&average_reciprocal));
   if (args.mode == 1)
-    mult_factor = (uint64_t)(*kernel_reciprocal) |
-            ((uint64_t)1 << 32) | ((uint64_t)1 << 40);
+    mult_factor = (uint64_t)(*kernel_reciprocal) | ((uint64_t)1 << 32) |
+                  ((uint64_t)1 << 40);
   else
     mult_factor =
         (uint64_t)0x3f800000 | ((uint64_t)1 << 32) | ((uint64_t)1 << 40);
@@ -501,7 +504,7 @@ int ComputeFpgaEWAdd(const struct EWAddArgs &args) {
 #endif
 #ifdef PADDLE_MOBILE_ZU5
   int ret = 0;
-uint64_t bypass_interrupt = reg_readq(REG_INTERRUPT);
+  uint64_t bypass_interrupt = reg_readq(REG_INTERRUPT);
 
   pthread_mutex_lock(&g_fpgainfo.pe_data->mutex);
   if (ERROR == g_fpgainfo.pe_data->pes[PE_IDX_EW]->status) {
@@ -511,7 +514,6 @@ uint64_t bypass_interrupt = reg_readq(REG_INTERRUPT);
     return ret;
   }
 
-
   uint64_t image0_physical_address = 0;
   uint64_t image1_physical_address = 0;
   uint64_t image_physical_address = 0;
@@ -522,23 +524,25 @@ uint64_t bypass_interrupt = reg_readq(REG_INTERRUPT);
       image0_physical_address | (image1_physical_address << 32);
   output_physical_address = vaddr_to_paddr(args.output.address);
   uint64_t image_amount_per_row =
-          align_to_x((uint64_t)args.image0.width *
-          (uint64_t)args.image0.channels, IMAGE_ALIGNMENT);
+      align_to_x((uint64_t)args.image0.width * (uint64_t)args.image0.channels,
+                 IMAGE_ALIGNMENT);
   uint64_t result_addr_row =
       output_physical_address | (image_amount_per_row << 32);
   uint64_t kernel_padding_step = 0;
   kernel_padding_step = ((uint64_t)args.image0.height * 2) |
-          ((uint64_t)2 << 24) | ((uint64_t)2 << 40) | ((uint64_t)1 << 48);
-  uint64_t result_size_calcu_height = ((uint64_t)args.image0.height - 1) |
+                        ((uint64_t)2 << 24) | ((uint64_t)2 << 40) |
+                        ((uint64_t)1 << 48);
+  uint64_t result_size_calcu_height =
+      ((uint64_t)args.image0.height - 1) |
       ((image_amount_per_row / 32 - 1) << 16) |
       (((uint64_t)args.image0.height * 2) << 32);
-  uint64_t image_row_col_padding_down = image_amount_per_row |
-          (image_amount_per_row << 32);
+  uint64_t image_row_col_padding_down =
+      image_amount_per_row | (image_amount_per_row << 32);
   float quantParam =
       ((args.image0.scale_address)[0]) / ((args.output.scale_address)[0]);
-  uint32_t* ew_scale = reinterpret_cast<uint32_t*>(&quantParam);
-  uint64_t ew_scale_mult_factor = (*ew_scale) |
-          ((uint64_t)args.const0 << 32) | ((uint64_t)args.const1 << 40);
+  uint32_t *ew_scale = reinterpret_cast<uint32_t *>(&quantParam);
+  uint64_t ew_scale_mult_factor = (*ew_scale) | ((uint64_t)args.const0 << 32) |
+                                  ((uint64_t)args.const1 << 40);
   reg_writeq(0ul, REG_SCALE_PARAMETER);
   reg_writeq(image_physical_address, 0x808);
   reg_writeq(result_addr_row, 0x810);
@@ -546,7 +550,7 @@ uint64_t bypass_interrupt = reg_readq(REG_INTERRUPT);
   reg_writeq(result_size_calcu_height, 0x820);
   reg_writeq(32, 0x828);
   reg_writeq(image_row_col_padding_down, 0x830);
-  reg_writeq(((image_amount_per_row*2) << 32), 0x838);
+  reg_writeq(((image_amount_per_row * 2) << 32), 0x838);
   reg_writeq(ew_scale_mult_factor, 0x840);  // dw donot care
   reg_writeq(((uint64_t)32 << 32), 0x848);
   reg_writeq(0, 0x858);
@@ -950,22 +954,25 @@ int ComputeDWConv(const struct DWconvArgs &args) {
   bias_physical_address = vaddr_to_paddr(args.bias_address);
   uint64_t C_align_64 = align_to_x((uint64_t)args.image.channels, 64);
   uint64_t C_align_32 = align_to_x((uint64_t)args.image.channels, 32);
-  uint64_t output_height = (uint64_t)
-          ((args.image.height + args.image.pad_height * 2 -
-          args.kernel.height) / args.kernel.stride_h +1);
-  uint64_t output_width = (uint64_t)
-          (((args.image.width + args.image.pad_width * 2 - args.kernel.width) /
-          args.kernel.stride_w + 1) * args.sub_conv_num);
+  uint64_t output_height = (uint64_t)(
+      (args.image.height + args.image.pad_height * 2 - args.kernel.height) /
+          args.kernel.stride_h +
+      1);
+  uint64_t output_width = (uint64_t)(
+      ((args.image.width + args.image.pad_width * 2 - args.kernel.width) /
+           args.kernel.stride_w +
+       1) *
+      args.sub_conv_num);
 
   uint64_t image_amount_per_row =
-          align_to_x((uint64_t)args.image.width *
-          (uint64_t)args.image.channels, IMAGE_ALIGNMENT);
+      align_to_x((uint64_t)args.image.width * (uint64_t)args.image.channels,
+                 IMAGE_ALIGNMENT);
   uint64_t image_one_pad_per_row =
       (uint64_t)args.image.width * (uint64_t)args.image.channels +
       (uint64_t)args.image.pad_width * (uint64_t)args.image.channels;
 
-  uint64_t result_amount_align_32 = align_to_x(
-          (uint64_t)output_width * (uint64_t)args.image.channels, 32);
+  uint64_t result_amount_align_32 =
+      align_to_x((uint64_t)output_width * (uint64_t)args.image.channels, 32);
   uint64_t result_addr_row =
       (result_amount_align_32 << 32) | output_physical_address;
   uint64_t row_padding_down =
@@ -974,15 +981,18 @@ int ComputeDWConv(const struct DWconvArgs &args) {
   uint64_t kernel_padding_step = row_padding_down |
                                  ((uint64_t)args.image.pad_height << 16) |
                                  ((uint64_t)args.kernel.stride_h << 24) |
-          ((uint64_t)kernel_width_sub1<<32) |
+                                 ((uint64_t)kernel_width_sub1 << 32) |
                                  ((uint64_t)args.kernel.height << 40) |
-          ((uint64_t)(args.kernel.height-1) << 48);
-  uint64_t image_calcu_height = (uint64_t)args.kernel.height +
+                                 ((uint64_t)(args.kernel.height - 1) << 48);
+  uint64_t image_calcu_height =
+      (uint64_t)args.kernel.height +
       (output_height - 1) * (uint64_t)args.kernel.stride_h;
   uint64_t result_size_calcu_height = (output_height - 1) |
-          ((output_width - 1) << 16) | (image_calcu_height << 32);
-  uint64_t col_padding_down = ((uint64_t)args.image.width +
-          (uint64_t)args.image.pad_width) * (uint64_t)args.image.channels;
+                                      ((output_width - 1) << 16) |
+                                      (image_calcu_height << 32);
+  uint64_t col_padding_down =
+      ((uint64_t)args.image.width + (uint64_t)args.image.pad_width) *
+      (uint64_t)args.image.channels;
 
   uint64_t image_row_col_padding_down =
       image_amount_per_row | (col_padding_down << 32);
@@ -999,16 +1009,14 @@ int ComputeDWConv(const struct DWconvArgs &args) {
   uint64_t channelXpad_w_channelXstep_w =
       channelXpad_w | (channelXstep_w << 32);
 
-  uint64_t filter_row_align =
-          C_align_64 * (uint64_t)args.kernel.width;
-  uint64_t sub_filter_amount_align = C_align_64 *
-          (uint64_t)args.kernel.width *
-          (uint64_t)args.kernel.height;
+  uint64_t filter_row_align = C_align_64 * (uint64_t)args.kernel.width;
+  uint64_t sub_filter_amount_align =
+      C_align_64 * (uint64_t)args.kernel.width * (uint64_t)args.kernel.height;
   uint64_t filter_amount_align =
       sub_filter_amount_align * (uint64_t)args.sub_conv_num;
   uint64_t filter_param = filter_row_align | (filter_amount_align << 16) |
                           (sub_filter_amount_align << 32) |
-          (((uint64_t)args.sub_conv_num -1) << 48);
+                          (((uint64_t)args.sub_conv_num - 1) << 48);
   uint64_t channel_parameter =
       (uint64_t)args.image.channels | (C_align_64 << 16);
   pthread_mutex_lock(&g_fpgainfo.pe_data->mutex);
@@ -1030,8 +1038,9 @@ int ComputeDWConv(const struct DWconvArgs &args) {
   reg_writeq(channelXpad_w_channelXstep_w, 0x848);
   reg_writeq(filter_physical_address, 0x850);
   reg_writeq(filter_param, 0x858);
-  reg_writeq(((bias_physical_address+C_align_64*4) |
-  (bias_physical_address << 32)), 0x860);
+  reg_writeq(((bias_physical_address + C_align_64 * 4) |
+              (bias_physical_address << 32)),
+             0x860);
   cmd = (uint64_t)1 | (((uint64_t)args.relu_enabled) << 8);
   reg_writeq(cmd, 0x800);
 

mobile/src/operators/kernel/fpga/V2/elementwise_add_kernel.cpp

@@ -12,8 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 #ifdef ELEMENTWISEADD_OP
-#include <math.h>
 #include "operators/kernel/elementwise_add_kernel.h"
+#include <math.h>
 
 namespace paddle_mobile {
 namespace operators {
@@ -62,14 +62,14 @@ void ComputeCPUEWAdd(fpga::EWAddArgs ewaddArgs) {
   int inputh = ewaddArgs.image0.height;
   int inputw = ewaddArgs.image0.width;
   float inScale0 =
-          (reinterpret_cast<float*>(ewaddArgs.image0.scale_address))[0];
+      (reinterpret_cast<float *>(ewaddArgs.image0.scale_address))[0];
   float inScale1 =
-          (reinterpret_cast<float*>(ewaddArgs.image1.scale_address))[0];
+      (reinterpret_cast<float *>(ewaddArgs.image1.scale_address))[0];
   float outScale =
-          (reinterpret_cast<float*>(ewaddArgs.output.scale_address))[0];
-  int8_t* inPtr0 = reinterpret_cast<int8_t*>(ewaddArgs.image0.address);
-  int8_t* inPtr1 = reinterpret_cast<int8_t*>(ewaddArgs.image1.address);
-  int8_t* outPtr = reinterpret_cast<int8_t*>(ewaddArgs.output.address);
+      (reinterpret_cast<float *>(ewaddArgs.output.scale_address))[0];
+  int8_t *inPtr0 = reinterpret_cast<int8_t *>(ewaddArgs.image0.address);
+  int8_t *inPtr1 = reinterpret_cast<int8_t *>(ewaddArgs.image1.address);
+  int8_t *outPtr = reinterpret_cast<int8_t *>(ewaddArgs.output.address);
   int datasize = inputc * inputh * inputw;
   float const0 = inScale0 / outScale;
   float const1 = inScale1 / outScale;

mobile/src/operators/kernel/fpga/V2/elementwise_add_relu_kernel.cpp

@@ -12,8 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 #ifdef FUSION_ELEMENTWISEADDRELU_OP
-#include <math.h>
 #include "operators/kernel/elementwise_add_relu_kernel.h"
+#include <math.h>
 
 namespace paddle_mobile {
 namespace operators {
@@ -63,14 +63,14 @@ void ComputeCPUEWAddRelu(fpga::EWAddArgs ewaddArgs) {
   int inputh = ewaddArgs.image0.height;
   int inputw = ewaddArgs.image0.width;
   float inScale0 =
-          (reinterpret_cast<float*>(ewaddArgs.image0.scale_address))[0];
+      (reinterpret_cast<float *>(ewaddArgs.image0.scale_address))[0];
   float inScale1 =
-          (reinterpret_cast<float*>(ewaddArgs.image1.scale_address))[0];
+      (reinterpret_cast<float *>(ewaddArgs.image1.scale_address))[0];
   float outScale =
-          (reinterpret_cast<float*>(ewaddArgs.output.scale_address))[0];
-  int8_t* inPtr0 = reinterpret_cast<int8_t*>(ewaddArgs.image0.address);
-  int8_t* inPtr1 = reinterpret_cast<int8_t*>(ewaddArgs.image1.address);
-  int8_t* outPtr = reinterpret_cast<int8_t*>(ewaddArgs.output.address);
+      (reinterpret_cast<float *>(ewaddArgs.output.scale_address))[0];
+  int8_t *inPtr0 = reinterpret_cast<int8_t *>(ewaddArgs.image0.address);
+  int8_t *inPtr1 = reinterpret_cast<int8_t *>(ewaddArgs.image1.address);
+  int8_t *outPtr = reinterpret_cast<int8_t *>(ewaddArgs.output.address);
   int datasize = inputc * inputh * inputw;
   float const0 = inScale0 / outScale;
   float const1 = inScale1 / outScale;

mobile/src/operators/kernel/fpga/V2/proposal_kernel.cpp

@@ -371,8 +371,8 @@ void ProposalKernel<FPGA, float>::Compute(const ProposalParam<FPGA> &param) {
   for (int h = 0; h < score_height; h++) {
     for (int w = 0; w < score_width; w++) {
       for (int c = 0; c < score_channels; ++c) {
-        int dstidx = h*unalignedCW + w*score_channels + c;
-        int srcidx = h*alignedCW + w*score_channels + c;
+        int dstidx = h * unalignedCW + w * score_channels + c;
+        int srcidx = h * alignedCW + w * score_channels + c;
         score_tensor.data<int8_t>()[dstidx] = input_score_data[srcidx];
       }
     }
@@ -388,10 +388,10 @@ void ProposalKernel<FPGA, float>::Compute(const ProposalParam<FPGA> &param) {
   for (int h = 0; h < bbox_height; h++) {
     for (int w = 0; w < bbox_width; w++) {
       for (int c = 0; c < bbox_channels; ++c) {
-        int dstidx = h*unalignedCW + w*bbox_channels + c;
-        int srcidx = h*alignedCW + w*bbox_channels + c;
+        int dstidx = h * unalignedCW + w * bbox_channels + c;
+        int srcidx = h * alignedCW + w * bbox_channels + c;
         bbox_tensor->data<float>()[dstidx] =
-            (static_cast<int>(input_bbox_data[srcidx]))/127.0*
+            (static_cast<int>(input_bbox_data[srcidx])) / 127.0 *
             input_bbox->scale[0];
       }
     }
@@ -412,14 +412,14 @@ void ProposalKernel<FPGA, float>::Compute(const ProposalParam<FPGA> &param) {
   float min_size = param.min_size_;
   float eta = param.eta_;
 
-  rpn_rois->mutable_data<float>({bbox_tensor->numel()/4, 4});
-  rpn_roi_probs->mutable_data<int8_t>({input_score->numel()/4, 1});
+  rpn_rois->mutable_data<float>({bbox_tensor->numel() / 4, 4});
+  rpn_roi_probs->mutable_data<int8_t>({input_score->numel() / 4, 1});
   framework::LoD lod;
   lod.resize(1);
   auto &lod0 = lod[0];
   lod0.push_back(0);
-  anchors.Resize({anchors.numel()/4, 4});
-  variances.Resize({variances.numel()/4, 4});
+  anchors.Resize({anchors.numel() / 4, 4});
+  variances.Resize({variances.numel() / 4, 4});
 
   int64_t num_proposals = 0;
   for (int64_t i = 0; i < score_n; ++i) {

mobile/src/operators/kernel/fpga/V2/psroi_pool_kernel.cpp

@@ -143,7 +143,6 @@ void PSRoiPoolKernel<FPGA, float>::Compute(const PSRoiPoolParam<FPGA>& param) {
       "the channels of input X should equal the product of "
       "output_channels x pooled_height x pooled_width");
 
-
   auto output_data = out->mutable_data<float>();
   auto input_rois = rois->data<float>();
 
@@ -173,11 +172,11 @@ void PSRoiPoolKernel<FPGA, float>::Compute(const PSRoiPoolParam<FPGA>& param) {
 
     for (int ph = 0; ph < pooled_height; ph++) {
       for (int pw = 0; pw < pooled_width; pw++) {
-        PSROIPoolingForward<float>(
-            input_data, height, width, input_channels, offset_output_data,
-            pooled_height, pooled_width, output_channels, input_rois,
-            bin_size_h, bin_size_w, roi_start_h, roi_start_w, pw, ph,
-            scale, roi_batch_ind);
+        PSROIPoolingForward<float>(input_data, height, width, input_channels,
+                                   offset_output_data, pooled_height,
+                                   pooled_width, output_channels, input_rois,
+                                   bin_size_h, bin_size_w, roi_start_h,
+                                   roi_start_w, pw, ph, scale, roi_batch_ind);
       }
     }
   }

mobile/src/operators/kernel/fpga/V2/reshape2_kernel.cpp

@@ -121,8 +121,7 @@ void Reshape2Kernel<FPGA, float>::Compute(const Reshape2Param<FPGA> &param) {
         inputdimsize > outputdimsize ? outputdimsize : inputdimsize;
     int i = 0;
     for (i = 0; i < smallersize; i++) {
-      if ((input->dims())[i] != (output->dims())[i])
-        break;
+      if ((input->dims())[i] != (output->dims())[i]) break;
     }
     if (i == smallersize) {
       reshapeNeedFlg = 0;

mobile/src/operators/kernel/fpga/V2/slice_kernel.cpp

@@ -57,22 +57,21 @@ void SliceKernel<FPGA, float>::Compute(const SliceParam<FPGA>& param) {
   int len = end - start;
   size_t size = len * sizeof(int8_t);
   DLOG << input->fpga_data_num;
-  fpga::fpga_invalidate(input_ptr, input->fpga_data_num*sizeof(int8_t));
+  fpga::fpga_invalidate(input_ptr, input->fpga_data_num * sizeof(int8_t));
   DLOG << output->fpga_data_num;
-  fpga::fpga_invalidate(output_ptr, output->fpga_data_num*sizeof(int8_t));
+  fpga::fpga_invalidate(output_ptr, output->fpga_data_num * sizeof(int8_t));
   int unalignedWC = len * W;
   int alignedWC = fpga::align_to_x(W * len, IMAGE_ALIGNMENT);
 
   if (unalignedWC != alignedWC) {
-      auto tmpOutput = reinterpret_cast<int8_t*>
-              (fpga::fpga_malloc(len*HW * sizeof(int8_t)));
+    auto tmpOutput =
+        reinterpret_cast<int8_t*>(fpga::fpga_malloc(len * HW * sizeof(int8_t)));
     for (int i = 0; i < HW; i++) {
       memcpy(tmpOutput + len * i, input_ptr + i * channel + start, size);
     }
     for (int i = 0; i < H; i++) {
       for (int j = 0; j < unalignedWC; j++) {
-              *(output_ptr + alignedWC * i + j) =
-                      *(tmpOutput + unalignedWC * i + j);
+        *(output_ptr + alignedWC * i + j) = *(tmpOutput + unalignedWC * i + j);
       }
     }
     fpga::fpga_free(tmpOutput);
@@ -81,7 +80,7 @@ void SliceKernel<FPGA, float>::Compute(const SliceParam<FPGA>& param) {
       memcpy(output_ptr + len * i, input_ptr + i * channel + start, size);
     }
   }
-  fpga::fpga_flush(output_ptr, output->fpga_data_num*sizeof(int8_t));
+  fpga::fpga_flush(output_ptr, output->fpga_data_num * sizeof(int8_t));
 }
 }  // namespace operators
 }  // namespace paddle_mobile

mobile/test/executor_for_test.h

@@ -14,9 +14,9 @@ limitations under the License. */
 
 #pragma once
 
+#include <memory>
 #include <string>
 #include <vector>
-#include <memory>
 #include "common/log.h"
 #include "framework/executor.h"
 #include "framework/op_registry.h"

mobile/test/executor_for_test_opencl.h

@@ -15,10 +15,11 @@ limitations under the License. */
 #pragma once
 #ifdef PADDLE_MOBILE_CL
 
+#include <memory>
 #include <string>
 #include <vector>
-#include <memory>
 
+#include "./test_helper.h"
 #include "common/log.h"
 #include "framework/cl/cl_helper.h"
 #include "framework/cl/cl_tensor.h"
@@ -26,18 +27,17 @@ limitations under the License. */
 #include "framework/op_registry.h"
 #include "operators/feed_op.h"
 #include "operators/fetch_op.h"
-#include "./test_helper.h"
 
+using paddle_mobile::framework::AttributeMap;
 using paddle_mobile::framework::BlockDesc;
 using paddle_mobile::framework::DDim;
 using paddle_mobile::framework::Executor;
 using paddle_mobile::framework::LoDTensor;
 using paddle_mobile::framework::OpDesc;
+using paddle_mobile::framework::OperatorBase;
 using paddle_mobile::framework::Program;
 using paddle_mobile::framework::Tensor;
 using paddle_mobile::framework::Variable;
-using paddle_mobile::framework::OperatorBase;
-using paddle_mobile::framework::AttributeMap;
 using std::string;
 using std::vector;
 namespace paddle_mobile {