1 files changed, 129 insertions, 0 deletions
diff --git a/src/core/GLES_COMPUTE/kernels/GCBatchNormalizationLayerKernel.cpp b/src/core/GLES_COMPUTE/kernels/GCBatchNormalizationLayerKernel.cpp
new file mode 100644
index 0000000000..9c24d2ef42
--- /dev/null
+++ b/src/core/GLES_COMPUTE/kernels/GCBatchNormalizationLayerKernel.cpp
@@ -0,0 +1,129 @@
+/*
+ * Copyright (c) 2017 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/GCBatchNormalizationLayerKernel.h"
+
+#include "arm_compute/core/AccessWindowStatic.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/Helpers.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+
+#include "support/ToolchainSupport.h"
+
+using namespace arm_compute;
+
+GCBatchNormalizationLayerKernel::GCBatchNormalizationLayerKernel()
+    : _input(nullptr), _output(nullptr), _mean(nullptr), _var(nullptr), _beta(nullptr), _gamma(nullptr), _epsilon(0.0f)
+{
+}
+
+void GCBatchNormalizationLayerKernel::configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *var, const IGCTensor *beta, const IGCTensor *gamma,
+                                                float epsilon)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(output);
+
+    // Output tensor auto initialization if not yet initialized
+    auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, input->info()->data_type(), input->info()->fixed_point_position());
+
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output, mean, var, beta, gamma);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output, mean, var, beta, gamma);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(mean, var, beta, gamma);
+    ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) != mean->info()->dimension(0));
+
+    _input   = input;
+    _output  = output;
+    _mean    = mean;
+    _var     = var;
+    _beta    = beta;
+    _gamma   = gamma;
+    _epsilon = epsilon;
+
+    const unsigned int num_elems_processed_per_iteration = 4 / input->info()->element_size();
+
+    // Set 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 ESPILON " + float_to_string_with_full_precision(_epsilon)));
+    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)));
+
+    // Create kernel
+    _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("batchnormalization_layer", build_opts));
+
+    // Configure kernel window
+    Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
+
+    AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration);
+    AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
+    AccessWindowStatic     mean_access(mean->info(), 0, 0, mean->info()->dimension(0) + 1, mean->info()->dimension(1));
+    AccessWindowStatic     var_access(var->info(), 0, 0, var->info()->dimension(0) + 1, var->info()->dimension(1));
+    AccessWindowStatic     beta_access(beta->info(), 0, 0, beta->info()->dimension(0) + 1, beta->info()->dimension(1));
+    AccessWindowStatic     gamma_access(gamma->info(), 0, 0, gamma->info()->dimension(0) + 1, gamma->info()->dimension(1));
+
+    update_window_and_padding(win, input_access, output_access, mean_access, var_access, beta_access, gamma_access);
+    output_access.set_valid_region(win, input->info()->valid_region());
+
+    _kernel.clear_params();
+
+    _kernel.set_shader_params_binding_point(0);
+
+    IGCKernel::configure(win);
+}
+
+void GCBatchNormalizationLayerKernel::run(const Window &window)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
+
+    _kernel.use();
+
+    Window slice = window.first_slice_window_3D();
+
+    Window vector_slice = window.first_slice_window_1D();
+    vector_slice.set(Window::DimX, Window::Dimension(0, 0, 0));
+
+    unsigned int idx = 2 * num_arguments_per_3D_tensor();
+    add_1D_tensor_argument(idx, _mean, 3, vector_slice);
+    add_1D_tensor_argument(idx, _var, 4, vector_slice);
+    add_1D_tensor_argument(idx, _beta, 5, vector_slice);
+    add_1D_tensor_argument(idx, _gamma, 6, vector_slice);
+
+    do
+    {
+        idx = 0;
+        add_3D_tensor_argument(idx, _input, 1, slice);
+        add_3D_tensor_argument(idx, _output, 2, slice);
+
+        _kernel.update_shader_params();
+        enqueue(*this, slice);
+    }
+    while(window.slide_window_slice_3D(slice));
+}