COMPMID-1786 Dispatch a single OpenCL when running CLScaleKernel with NHWC with batch_size!=1
Change-Id: Ib5ea76c1ba7a7add1f050ca9168091bd30749725
Reviewed-on: https://review.mlplatform.org/377
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
diff --git a/src/core/CL/kernels/CLScaleKernel.cpp b/src/core/CL/kernels/CLScaleKernel.cpp
index ce6c016..96f4df8 100644
--- a/src/core/CL/kernels/CLScaleKernel.cpp
+++ b/src/core/CL/kernels/CLScaleKernel.cpp
@@ -175,6 +175,7 @@
DataLayout data_layout = input->info()->data_layout();
const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
+ const bool is_nhwc = data_layout == DataLayout::NHWC;
// Compute the ratio between source width/height and destination width/height
const unsigned int input_width = input->info()->dimension(idx_width);
@@ -201,6 +202,7 @@
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
build_opts.add_option("-DBORDER_SIZE=" + support::cpp11::to_string(border.right));
build_opts.add_option_if(border_mode == BorderMode::REPLICATE, "-DBORDER_MODE_REPLICATE");
+ build_opts.add_option_if(is_nhwc, "-DDEPTH_OUT=" + support::cpp11::to_string(output->info()->dimension(2)));
build_opts.add_option_if_else(sampling_policy == SamplingPolicy::CENTER, "-DSAMPLING_POLICY_CENTER", "-DSAMPLING_POLICY_TOP_LEFT");
if(call_quantized_kernel)
{
@@ -215,7 +217,7 @@
kernel_name += lower_string(string_from_data_layout(data_layout));
_kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options()));
- unsigned int idx = data_layout == DataLayout::NHWC ? 2 * num_arguments_per_3D_tensor() : 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters
+ unsigned int idx = is_nhwc ? 2 * num_arguments_per_4D_tensor() : 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters
// Set static kernel arguments
const float scale_x = static_cast<float>(input_width) / output_width;
@@ -250,16 +252,13 @@
}
case DataLayout::NHWC:
{
- Window slice = window.first_slice_window_3D();
+ Window collapsed = window.collapse(ICLKernel::window(), Window::DimZ);
+ Window slice = collapsed.first_slice_window_4D();
- do
- {
- unsigned int idx = 0;
- add_3D_tensor_argument(idx, _input, slice);
- add_3D_tensor_argument(idx, _output, slice);
- enqueue(queue, *this, slice, lws_hint());
- }
- while(window.slide_window_slice_3D(slice));
+ unsigned int idx = 0;
+ add_4D_tensor_argument(idx, _input, slice);
+ add_4D_tensor_argument(idx, _output, slice);
+ enqueue(queue, *this, slice, lws_hint());
break;
}
default: