COMPMID-697 - Rework GEMMLowp interface on OpenCL

Reworked the interface of GemmLowp in order to make easy the integration
in Android NN

- Added support for different output stage
- Added validation for both matrix multiplication and output stage
- Added bounded relu support in the output stage
- Added in32_t bias support
- Added optimized path for vector by matrix case

This rework is required for:
- Convolution quantized
- Fully connected quantized

Change-Id: I512283d406099cf8c614dd89d0a97ed411143afc
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110625
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>

1 files changed, 0 insertions, 89 deletions

diff --git a/arm_compute/runtime/CL/functions/CLGEMMLowp.h b/arm_compute/runtime/CL/functions/CLGEMMLowp.h
deleted file mode 100644
index ffd997f6ec..0000000000
--- a/arm_compute/runtime/CL/functions/CLGEMMLowp.h
+++ /dev/null
@@ -1,89 +0,0 @@
-/*
- * Copyright (c) 2016, 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.
- */
-#ifndef __ARM_COMPUTE_CLGEMMLOWP_H__
-#define __ARM_COMPUTE_CLGEMMLOWP_H__
-
-#include "arm_compute/core/CL/ICLKernel.h"
-#include "arm_compute/core/CL/kernels/CLGEMMInterleave4x4Kernel.h"
-#include "arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h"
-#include "arm_compute/core/CL/kernels/CLGEMMTranspose1xWKernel.h"
-#include "arm_compute/runtime/CL/CLMemoryGroup.h"
-#include "arm_compute/runtime/CL/CLTensor.h"
-#include "arm_compute/runtime/IFunction.h"
-#include "arm_compute/runtime/IMemoryManager.h"
-
-#include <memory>
-
-namespace arm_compute
-{
-class ICLTensor;
-
-/** Basic function to execute GEMMLowp on OpenCL. This function calls the following OpenCL kernels:
-*
-*  -# @ref CLGEMMInterleave4x4Kernel
-*  -# @ref CLGEMMTranspose1xWKernel
-*  -# @ref CLGEMMLowpMatrixMultiplyKernel
-*
-*/
-class CLGEMMLowp : public IFunction
-{
-public:
-    /** Constructor */
-    CLGEMMLowp(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
-    /** Initialise the kernel's inputs, output
-     *
-     * @note GEMM_LOWP:  low precision matrix multiply kernel
-     *  This kernel performs the following computation:
-     *
-     *  -# Convert a values from uint8 to int32 and add a_offset to each of them.
-     *  -# Convert b values from uint8 to int32 and add b_offset to each of them.
-     *  -# Compute the int32 matrix product of the resulting a * b.
-     *  -# Add output_offset to each entry of the result.
-     *  -# Multiply each entry of the result and round to the nearest integer
-     *  -# Clamp the resulting int32 values to the [0..255] range and cast to uint8.
-     *
-     * @param[in]  a               First input tensor  (Matrix A). Data types supported: U8.
-     * @param[in]  b               Second input tensor (Matrix B). Data types supported: same as @p a.
-     * @param[out] output          Output tensor. Data types supported: same as @p a.
-     * @param[in]  a_offset        Offset to be added to each element of the matrix A.
-     * @param[in]  b_offset        Offset to be added to each element of the matrix B.
-     * @param[in]  output_offset   Offset to be added to each element of the output matrix
-     * @param[in]  output_mult_int Multiplied with each element of the output matrix
-     * @param[in]  shift           Number of bits to shift right the result.
-     */
-    void configure(const ICLTensor *a, const ICLTensor *b, ICLTensor *output, int32_t a_offset, int32_t b_offset, int32_t output_offset, int32_t output_mult_int, int32_t shift);
-
-    // Inherited methods overridden:
-    void run() override;
-
-private:
-    CLMemoryGroup                  _memory_group;
-    CLGEMMInterleave4x4Kernel      _interleave_kernel;
-    CLGEMMTranspose1xWKernel       _transpose_kernel;
-    CLGEMMLowpMatrixMultiplyKernel _mm_kernel;
-    CLTensor                       _tmp_a;
-    CLTensor                       _tmp_b;
-};
-}
-#endif /*__ARM_COMPUTE_CLGEMMLOWP_H__ */