X-Git-Url: http://review.tizen.org/git/?a=blobdiff_plain;f=src%2Fcore%2FCL%2Fkernels%2FCLDepthwiseVectorToTensorKernel.cpp;h=83fc168f45d6ff21794f458e01bf0b5a13de825e;hb=06ea048f062a50404b1b3998a61a45449c2d1f0f;hp=dc47bb0adcddef825b025e52c94991beee3c1ec7;hpb=292227986edb37b01061afcad6df18ba9d6ccbeb;p=platform%2Fupstream%2Farmcl.git

diff --git a/src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp b/src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp
index dc47bb0..83fc168 100644
--- a/src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp
+++ b/src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -41,7 +41,7 @@ CLDepthwiseVectorToTensorKernel::CLDepthwiseVectorToTensorKernel()
 
 void CLDepthwiseVectorToTensorKernel::configure(const ICLTensor *input, ICLTensor *output, size_t conv_w, size_t conv_h)
 {
-    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::S32, DataType::F16, DataType::F32);
     ARM_COMPUTE_ERROR_ON_NULLPTR(output);
 
     TensorShape output_shape = input->info()->tensor_shape();
@@ -50,7 +50,7 @@ void CLDepthwiseVectorToTensorKernel::configure(const ICLTensor *input, ICLTenso
     output_shape.set(2, input->info()->tensor_shape()[0] / (conv_w * conv_h));
 
     // Output auto inizialitation if not yet initialized
-    auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position());
+    auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape));
 
     ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape);
     ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
@@ -60,12 +60,12 @@ void CLDepthwiseVectorToTensorKernel::configure(const ICLTensor *input, ICLTenso
     _output = output;
 
     // Create kernel
-    std::set<std::string> build_opts;
-    build_opts.emplace("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
-    build_opts.emplace("-DCONV_WIDTH=" + support::cpp11::to_string(conv_w));
-    build_opts.emplace("-DCONV_HEIGHT=" + support::cpp11::to_string(conv_h));
+    CLBuildOptions build_opts;
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
+    build_opts.add_option("-DCONV_WIDTH=" + support::cpp11::to_string(conv_w));
+    build_opts.add_option("-DCONV_HEIGHT=" + support::cpp11::to_string(conv_h));
 
-    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("depthwise_vector_to_tensor", build_opts));
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("depthwise_vector_to_tensor", build_opts.options()));
 
     // Configure  kernel window
     Window win = calculate_max_window(*input->info(), Steps());