1 files changed, 146 insertions, 0 deletions
diff --git a/src/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.cpp b/src/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.cpp
new file mode 100644
index 0000000000..4c08873dcf
--- /dev/null
+++ b/src/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.cpp
@@ -0,0 +1,146 @@
+/*
+ * Copyright (c) 2017-2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/GLES_COMPUTE/GCHelpers.h"
+#include "arm_compute/core/GLES_COMPUTE/GCKernelLibrary.h"
+#include "arm_compute/core/GLES_COMPUTE/IGCTensor.h"
+#include "arm_compute/core/GLES_COMPUTE/OpenGLES.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+
+#include "arm_compute/core/GLES_COMPUTE/GCHelpers.h"
+
+using namespace arm_compute;
+using namespace arm_compute::gles_compute;
+
+GCWeightsReshapeKernel::GCWeightsReshapeKernel()
+    : _input(nullptr), _biases(nullptr), _output(nullptr)
+{
+}
+
+void GCWeightsReshapeKernel::configure(const IGCTensor *input, const IGCTensor *biases, IGCTensor *output)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(output);
+
+    // Calculate output shape
+    TensorShape output_shape{ input->info()->tensor_shape() };
+    output_shape.collapse(3);
+    const size_t tmp_dim = output_shape[0];
+    output_shape.set(0, output_shape[1]);
+    output_shape.set(1, tmp_dim + (biases != nullptr ? 1 : 0));
+
+    // Output tensor auto inizialitation if not yet initialized
+    auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape));
+
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+
+    if(biases != nullptr)
+    {
+        ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, biases);
+        ARM_COMPUTE_ERROR_ON((input->info()->num_dimensions() == 4) && (biases->info()->num_dimensions() != 1));
+        ARM_COMPUTE_ERROR_ON((input->info()->num_dimensions() == 5) && (biases->info()->num_dimensions() != 2));
+        ARM_COMPUTE_ERROR_ON((input->info()->num_dimensions() == 4) && (biases->info()->dimension(0) != input->info()->tensor_shape()[3]));
+        ARM_COMPUTE_ERROR_ON((input->info()->num_dimensions() == 5) && (biases->info()->dimension(0) != input->info()->tensor_shape()[3] || biases->info()->dimension(1) != input->info()->tensor_shape()[4]));
+    }
+
+    _biases = biases;
+    _output = output;
+    _input  = input;
+
+    // Create build options
+    std::set<std::string> build_opts;
+    std::string           dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16";
+    build_opts.emplace("#define " + dt_name);
+    build_opts.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(1));
+    build_opts.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(1));
+    build_opts.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(1));
+    build_opts.emplace("#define RESHAPE_TO_COLUMNS");
+    if(biases != nullptr)
+    {
+        build_opts.emplace("#define HAS_BIAS");
+    }
+
+    // Create kernel
+    _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("reshape_to_columns", build_opts));
+
+    // Set static arguments
+    unsigned int idx = num_arguments_per_3D_tensor() + num_arguments_per_2D_tensor();
+    idx += (biases != nullptr) ? num_arguments_per_1D_tensor() : 0;
+    _kernel.set_argument(idx++, _input->info()->dimension(0));
+    _kernel.set_argument(idx++, _input->info()->dimension(1));
+    _kernel.set_argument(idx++, _input->info()->dimension(2));
+    _kernel.set_argument(idx++, _input->info()->dimension(3));
+
+    // Configure window
+    Window win = calculate_max_window(*input->info(), Steps());
+
+    // The GCWeightsReshapeKernel doesn't need padding so update_window_and_padding() can be skipped
+    output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape()));
+    IGCKernel::configure(win);
+}
+
+void GCWeightsReshapeKernel::run(const Window &window)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(IGCKernel::window(), window);
+
+    Window out_window;
+    out_window.use_tensor_dimensions(_output->info()->tensor_shape());
+
+    Window in_slice  = window.first_slice_window_3D();
+    Window out_slice = out_window.first_slice_window_2D();
+
+    Window biases_window;
+    Window biases_slice;
+
+    if(_biases != nullptr)
+    {
+        biases_window.use_tensor_dimensions(_biases->info()->tensor_shape());
+        biases_slice = biases_window.first_slice_window_1D();
+    }
+
+    _kernel.use();
+
+    do
+    {
+        // Set arguments
+        unsigned idx = 0;
+        add_3D_tensor_argument(idx, _input, 1, in_slice);
+        add_2D_tensor_argument(idx, _output, 2, out_slice);
+        if(_biases != nullptr)
+        {
+            add_1D_tensor_argument(idx, _biases, 3, biases_slice);
+            biases_window.slide_window_slice_1D(biases_slice);
+        }
+
+        _kernel.update_shader_params();
+        // Run kernel
+        enqueue(*this, in_slice);
+    }
+    while(window.slide_window_slice_4D(in_slice) && out_window.slide_window_slice_2D(out_slice));
+}