[LITE][OPENCL][Image] fix bias in depthwise3x3 and s1 ,test=develop (#3105)

lite/kernels/opencl/conv_image_compute.cc

@@ -61,8 +61,6 @@ void ConvImageCompute::PrepareForRun() {
   bool stride_equal = stride_h == stride_w;
   bool dilation_equal = dilations[0] == dilations[1];
 
-  CHECK(pad_equal && stride_equal && dilation_equal);
-
   VLOG(3) << "Is relu fused? / " << (relu_fused ? "Yes" : "No");
   VLOG(3) << "groups:" << groups << " stride_h:" << stride_h
           << " stride_w:" << stride_w << " pad_h:" << pad_h
@@ -70,10 +68,18 @@ void ConvImageCompute::PrepareForRun() {
           << " kernel_h:" << kernel_h;
   VLOG(3) << "x_dims:" << x_dims[0] << " " << x_dims[1] << " " << x_dims[2]
           << " " << x_dims[3];
+  VLOG(3) << "dialtion:" << dilations[0] << " " << dilations[1];
   VLOG(3) << "output_dims:" << output_dims[0] << " " << output_dims[1] << " "
           << output_dims[2] << " " << output_dims[3];
   VLOG(3) << "filter_dims:" << filter_dims[0] << " " << filter_dims[1] << " "
           << filter_dims[2] << " " << filter_dims[3];
+  VLOG(3) << "pad_equal:" << pad_equal;
+  VLOG(3) << "stride_equal:" << stride_equal;
+  VLOG(3) << "dilation_equal:" << dilation_equal;
+  VLOG(3) << "padding :" << paddings[0] << " " << paddings[1] << " "
+          << paddings[2] << " " << paddings[3];
+  CHECK(pad_equal && stride_equal && dilation_equal);
+
   if (kernel_h == 1 && kernel_w == 1) {
     // conv2d_1x1
     if (param.x->dims()[1] % 4 == 0) {
@@ -879,6 +885,17 @@ void ConvImageCompute::DepthwiseConv2d3x3s1() {
   CL_CHECK_FATAL(status);
   status = kernel.setArg(++arg_idx, *filter_img);
   CL_CHECK_FATAL(status);
+
+  const bool has_bias = param.bias != nullptr;
+  const bool is_element_wise_bias =
+      has_bias && param.output->dims() == param.bias->dims();
+  const cl::Image2D* bias_image = nullptr;
+  if (has_bias) {
+    bias_image = bias_gpu_image_.data<half_t, cl::Image2D>();
+    VLOG(4) << "set bias_image: ";
+    status = kernel.setArg(++arg_idx, *bias_image);
+    CL_CHECK_FATAL(status);
+  }
   status = kernel.setArg(++arg_idx, *output_img);
   CL_CHECK_FATAL(status);
   status = kernel.setArg(++arg_idx, static_cast<const int>(strides[0]));
@@ -970,6 +987,16 @@ void ConvImageCompute::DepthwiseConv2d3x3() {
   CL_CHECK_FATAL(status);
   status = kernel.setArg(++arg_idx, *filter_img);
   CL_CHECK_FATAL(status);
+  const bool has_bias = param.bias != nullptr;
+  const bool is_element_wise_bias =
+      has_bias && param.output->dims() == param.bias->dims();
+  const cl::Image2D* bias_image = nullptr;
+  if (has_bias) {
+    bias_image = bias_gpu_image_.data<half_t, cl::Image2D>();
+    VLOG(4) << "set bias_image: ";
+    status = kernel.setArg(++arg_idx, *bias_image);
+    CL_CHECK_FATAL(status);
+  }
   status = kernel.setArg(++arg_idx, *output_img);
   CL_CHECK_FATAL(status);
   status = kernel.setArg(++arg_idx, static_cast<const int>(strides[0]));