Remove OpenGL ES support

Remove the following:
 - Relevant backend kernels
 - Relevant backend functions
 - Relevant backend validation tests
 - Relevant backend specific examples
 - Remove backend support from Graph API
 - Remove backend support from build system

Update documentation

Resolves: COMPMID-4149

Change-Id: Id0621d6ee35169754de458103907aaba4ef770c0
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5097
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 0 insertions, 211 deletions

diff --git a/src/runtime/GLES_COMPUTE/functions/GCGEMM.cpp b/src/runtime/GLES_COMPUTE/functions/GCGEMM.cpp
deleted file mode 100644
index a5a26f4bb9..0000000000
--- a/src/runtime/GLES_COMPUTE/functions/GCGEMM.cpp
+++ /dev/null
@@ -1,211 +0,0 @@
-/*
- * Copyright (c) 2017-2019 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/runtime/GLES_COMPUTE/functions/GCGEMM.h"
-
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/GLES_COMPUTE/GCHelpers.h"
-#include "arm_compute/core/GLES_COMPUTE/IGCTensor.h"
-#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMInterleave4x4Kernel.h"
-#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixAdditionKernel.h"
-#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.h"
-#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMTranspose1xWKernel.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/runtime/GLES_COMPUTE/GCScheduler.h"
-#include "arm_compute/runtime/ITensorAllocator.h"
-
-using namespace arm_compute;
-
-namespace
-{
-Status validate_arguments(const ITensorInfo *a, const ITensorInfo *b, const IGCTensor *c, const ITensorInfo *output, const float alpha, const float beta, const GEMMInfo &gemm_info = GEMMInfo())
-{
-    ARM_COMPUTE_ERROR_ON_NULLPTR(a, b, output);
-
-    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(a, 1, DataType::F16, DataType::F32);
-    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(a, b, output);
-    ARM_COMPUTE_ERROR_ON_MSG(gemm_info.is_a_reshaped(), "Matrix A already reshaped is not supported");
-    ARM_COMPUTE_ERROR_ON_MSG(gemm_info.is_b_reshaped(), "Matrix B already reshaped is not supported");
-
-    if(c != nullptr)
-    {
-        ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(a, c->info());
-        ARM_COMPUTE_ERROR_ON_MSG(a->dimension(1) != c->info()->dimension(1), "The C matrix must have the same number of rows as the matrix A");
-        ARM_COMPUTE_ERROR_ON_MSG(b->dimension(0) != c->info()->dimension(0), "The C matrix must have the same number of columns as the matrix B");
-    }
-
-    if(output->total_size() != 0)
-    {
-        ARM_COMPUTE_RETURN_ERROR_ON_MSG(b->dimension(0) != output->dimension(0), "The output matrix must have the same number of columns as the matrix B");
-        ARM_COMPUTE_RETURN_ERROR_ON_MSG(a->dimension(1) != output->dimension(1), "The output matrix must have the same number of rows as the matrix A");
-    }
-
-    ARM_COMPUTE_RETURN_ERROR_ON_MSG(a->dimension(0) != b->dimension(1), "The product AB is defined only if the number of columns in A is equal to the number of rows in B");
-
-    ARM_COMPUTE_UNUSED(alpha);
-    ARM_COMPUTE_UNUSED(beta);
-    ARM_COMPUTE_UNUSED(gemm_info);
-    return Status{};
-}
-} // namespace
-
-GCGEMM::GCGEMM(std::shared_ptr<IMemoryManager> memory_manager)
-    : _memory_group(std::move(memory_manager)), _interleave_kernel(), _transpose_kernel(), _mm_kernel(), _ma_kernel(), _tmp_a(), _tmp_b(), _original_b(nullptr), _is_interleaved_transposed(false),
-      _run_addition(false), _reshape_b_only_on_first_run(false), _is_prepared(false)
-{
-}
-
-void GCGEMM::configure(const IGCTensor *a, const IGCTensor *b, const IGCTensor *c, IGCTensor *output, float alpha, float beta, const GEMMInfo &gemm_info)
-{
-    ARM_COMPUTE_ERROR_ON_NULLPTR(a, b, output);
-
-    // Perform validation step
-    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(a->info(), b->info(), c, output->info(), alpha, beta, gemm_info));
-
-    // Check if we need to reshape the matrix B only on the first run
-    _reshape_b_only_on_first_run = gemm_info.reshape_b_only_on_first_run();
-    _is_prepared                 = false;
-    _original_b                  = b;
-
-    const IGCTensor *matrix_a = a;
-    const IGCTensor *matrix_b = b;
-
-    // Get the GPU target
-    const GPUTarget gpu_target = GCScheduler::get().get_target();
-
-    // Set the target for the kernels
-    _interleave_kernel.set_target(gpu_target);
-    _mm_kernel.set_target(gpu_target);
-
-    // Arguments used by GEMMReshapeInfo
-    // If we pass the matrix A and matrix B reshaped to GCGEMMMatrixMultiplyKernel, we need to pass m, n, k, mult_transpose1xW_width and mult_interleave4x4_height to GCGEMMReshapeInfo
-    // in order to know how the matrices have been reshaped
-    const int m                         = a->info()->dimension(1);
-    const int n                         = b->info()->dimension(0);
-    const int k                         = a->info()->dimension(0);
-    int       mult_transpose1xW_width   = 1;
-    int       mult_interleave4x4_height = 1;
-
-    // If the input tensor has less than 16 rows, we run a special version of GEMM without reshaping the input tensors
-    _is_interleaved_transposed = a->info()->dimension(1) > 16;
-
-    if(_is_interleaved_transposed)
-    {
-        matrix_a = &_tmp_a;
-        matrix_b = &_tmp_b;
-
-        // Manage intermediate buffers
-        _memory_group.manage(&_tmp_a);
-        if(!_reshape_b_only_on_first_run)
-        {
-            _memory_group.manage(&_tmp_b);
-        }
-        // _tmp_a and _tmp_b will be auto configured in _interleave_kernel and in _transpose_kernel
-
-        // Configure interleave kernel
-        _interleave_kernel.configure(a, &_tmp_a);
-
-        // Configure transpose kernel
-        _transpose_kernel.configure(b, &_tmp_b);
-    }
-
-    _mm_kernel.configure(matrix_a, matrix_b, output, alpha, _is_interleaved_transposed, GEMMReshapeInfo(m, n, k, mult_transpose1xW_width, mult_interleave4x4_height));
-
-    if(_is_interleaved_transposed)
-    {
-        // Allocate intermediate tensors
-        _tmp_a.allocator()->allocate();
-        if(!_reshape_b_only_on_first_run)
-        {
-            _tmp_b.allocator()->allocate();
-        }
-    }
-
-    // Configure matrix addition kernel
-    if(beta != 0 && c != nullptr)
-    {
-        _ma_kernel.configure(c, output, beta);
-        _run_addition = true;
-    }
-}
-
-Status GCGEMM::validate(const ITensorInfo *a, const ITensorInfo *b, const IGCTensor *c, const ITensorInfo *output, const float alpha, const float beta, const GEMMInfo &gemm_info)
-{
-    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(a, b, c, output, alpha, beta, gemm_info));
-    return Status{};
-}
-
-void GCGEMM::run()
-{
-    prepare();
-
-    MemoryGroupResourceScope scope_mg(_memory_group);
-
-    if(_is_interleaved_transposed)
-    {
-        // Run interleave kernel
-        GCScheduler::get().dispatch(_interleave_kernel, false);
-
-        if(!_reshape_b_only_on_first_run)
-        {
-            // Run transpose kernel
-            GCScheduler::get().dispatch(_transpose_kernel, false);
-        }
-
-        GCScheduler::get().memory_barrier();
-    }
-
-    // Run matrix multiply kernel
-    GCScheduler::get().dispatch(_mm_kernel, !_run_addition);
-
-    // Run matrix addition kernel
-    if(_run_addition)
-    {
-        GCScheduler::get().memory_barrier();
-        GCScheduler::get().dispatch(_ma_kernel);
-    }
-}
-
-void GCGEMM::prepare()
-{
-    if(!_is_prepared)
-    {
-        if(_is_interleaved_transposed && _reshape_b_only_on_first_run)
-        {
-            ARM_COMPUTE_ERROR_ON(!_original_b->is_used());
-
-            // Run transpose kernel
-            _tmp_b.allocator()->allocate();
-            GCScheduler::get().dispatch(_transpose_kernel, false);
-            GCScheduler::get().memory_barrier();
-
-            // Mark original weights tensor as unused
-            _original_b->mark_as_unused();
-        }
-
-        _is_prepared = true;
-    }
-}