COMPMID-631: Merge branches/gles_compute branch

Last commit:
commit b25c5f68042b0c81bf611d59a1bb8535e1c42497
Author: Xinghang Zhou <xinghang.zhou@arm.com>
Date:   Wed Oct 25 18:48:10 2017 +0800

    Synced validation's tolerances of GCSoftmax from cl side

Change-Id: Ibe72054205c1c8721845d679a31af7ed0a7c5cf6
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/93283
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 123 insertions, 0 deletions

diff --git a/src/core/GLES_COMPUTE/kernels/GCGEMMMatrixAccumulateBiasesKernel.cpp b/src/core/GLES_COMPUTE/kernels/GCGEMMMatrixAccumulateBiasesKernel.cpp
new file mode 100644
index 0000000000..434070a46c
--- /dev/null
+++ b/src/core/GLES_COMPUTE/kernels/GCGEMMMatrixAccumulateBiasesKernel.cpp
@@ -0,0 +1,123 @@
+/*
+ * 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/GCGEMMMatrixAccumulateBiasesKernel.h"
+
+#include "arm_compute/core/AccessWindowStatic.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/Utils.h"
+#include "arm_compute/core/Validate.h"
+
+using namespace arm_compute;
+
+GCGEMMMatrixAccumulateBiasesKernel::GCGEMMMatrixAccumulateBiasesKernel()
+    : _accum(nullptr), _biases(nullptr)
+{
+}
+
+void GCGEMMMatrixAccumulateBiasesKernel::configure(IGCTensor *accum, const IGCTensor *biases)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(accum, 1, DataType::F16, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(biases, accum);
+    ARM_COMPUTE_ERROR_ON(biases->info()->num_dimensions() != 1);
+
+    _biases = biases;
+    _accum  = accum;
+
+    std::set<std::string> build_opts;
+    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
+    build_opts.emplace("#define GEMM_ACCUMULATE_BIASES");
+    std::string dt_name = (accum->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16";
+    build_opts.emplace(("#define " + dt_name));
+    _kernel = GCKernelLibrary::get().create_kernel("gemm_accumulate_biases", build_opts);
+
+    // Configure kernel window
+    unsigned int num_elems_processed_per_iteration = 1;
+
+    if(_accum->info()->data_type() == DataType::F32)
+    {
+        num_elems_processed_per_iteration = 16;
+    }
+    else if(_accum->info()->data_type() == DataType::F16)
+    {
+        num_elems_processed_per_iteration = 4;
+    }
+
+    Window win = calculate_max_window(*_accum->info(), Steps(num_elems_processed_per_iteration));
+
+    AccessWindowStatic     biases_access(biases->info(), 0, 0, ceil_to_multiple(biases->info()->dimension(0), num_elems_processed_per_iteration), biases->info()->dimension(1));
+    AccessWindowHorizontal accum_access(_accum->info(), 0, num_elems_processed_per_iteration);
+
+    update_window_and_padding(win, biases_access, accum_access);
+
+    _kernel.clear_params();
+    // set shader params binding point
+    _kernel.set_shader_params_binding_point(0);
+
+    IGCKernel::configure(win);
+}
+
+void GCGEMMMatrixAccumulateBiasesKernel::run(const Window &window)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(IGCKernel::window(), window);
+
+    _kernel.use();
+
+    Window accum_slice = window.first_slice_window_2D();
+
+    Window biases_slice(accum_slice);
+    biases_slice.set(Window::DimY, Window::Dimension(0, 1, 1));
+
+    // Run kernel
+    do
+    {
+        // Set arguments
+        unsigned int idx = 0;
+        if(_accum->info()->data_type() == DataType::F32)
+        {
+            add_2D_tensor_argument(idx, _accum, 1, accum_slice);
+            add_1D_tensor_argument(idx, _biases, 2, biases_slice);
+        }
+        else if(_accum->info()->data_type() == DataType::F16)
+        {
+            add_2D_tensor_argument(idx, _accum, BufferParam(1, 3), accum_slice);
+            add_1D_tensor_argument(idx, _biases, BufferParam(2, 3), biases_slice);
+        }
+
+        _kernel.update_shader_params();
+
+        enqueue(*this, accum_slice);
+    }
+    while(window.slide_window_slice_2D(accum_slice));
+}