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, 91 insertions, 0 deletions

diff --git a/arm_compute/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.h b/arm_compute/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.h
new file mode 100644
index 0000000000..9944afeac7
--- /dev/null
+++ b/arm_compute/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.h
@@ -0,0 +1,91 @@
+/*
+ * 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.
+ */
+#ifndef __ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYCORE_H__
+#define __ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYCORE_H__
+
+#include "arm_compute/core/CL/kernels/CLGEMMInterleave4x4Kernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.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"
+
+namespace arm_compute
+{
+class IMemoryManager;
+class ICLTensor;
+
+/** Basic function to execute GEMMLowpMatrixMultiplyCore on OpenCL. This function calls the following OpenCL kernels:
+ *
+ *  -# @ref CLGEMMInterleave4x4Kernel  (if the output tensor is a matrix)
+ *  -# @ref CLGEMMTranspose1xWKernel  (if the output tensor is a matrix)
+ *  -# @ref CLGEMMLowpMatrixMultiplyKernel
+ *  -# @ref CLGEMMLowpMatrixAReductionKernel (if the offset of matrix B is not 0)
+ *  -# @ref CLGEMMLowpMatrixBReductionKernel (if the offset of matrix A is not 0)
+ *  -# @ref CLGEMMLowpOffsetContributionKernel
+ *
+*/
+class CLGEMMLowpMatrixMultiplyCore : public IFunction
+{
+public:
+    /** Constructor */
+    CLGEMMLowpMatrixMultiplyCore(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+    /** Initialise the kernel's inputs, output
+     *
+     * @note GEMM_LOWP:  low precision GEMM kernel
+     *  This kernel performs the following computations:
+     *
+     *  -# Convert a values from QASYMM8 to int32 and add a_offset to each of them.
+     *  -# Convert b values from QASYMM8 to int32 add b_offset to each of them.
+     *  -# Compute the matrix product of the resulting a * b in int32.
+     *
+     * @param[in]  a      First input tensor  (Matrix A). Data type supported: QASYMM8.
+     * @param[in]  b      Second input tensor (Matrix B). Data type supported: same as @p a
+     * @param[out] output Output tensor. Data type supported: Data type supported: S32
+     */
+    void configure(const ICLTensor *a, const ICLTensor *b, ICLTensor *output);
+
+    // Inherited methods overridden:
+    void run() override;
+
+private:
+    CLMemoryGroup                      _memory_group;
+    CLGEMMLowpMatrixMultiplyKernel     _mm_kernel;
+    CLGEMMInterleave4x4Kernel          _mtx_a_reshape_kernel;
+    CLGEMMTranspose1xWKernel           _mtx_b_reshape_kernel;
+    CLGEMMLowpMatrixAReductionKernel   _mtx_a_reduction_kernel;
+    CLGEMMLowpMatrixBReductionKernel   _mtx_b_reduction_kernel;
+    CLGEMMLowpOffsetContributionKernel _offset_contribution_kernel;
+    CLTensor                           _vector_sum_col;
+    CLTensor                           _vector_sum_row;
+    CLTensor                           _tmp_a;
+    CLTensor                           _tmp_b;
+    int32_t                            _a_offset;
+    int32_t                            _b_offset;
+    bool                               _is_interleaved_transposed;
+};
+}
+#endif /*__ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYCORE_H__ */