arm_compute v17.09
Change-Id: I4bf8f4e6e5f84ce0d5b6f5ba570d276879f42a81
diff --git a/src/runtime/NEON/functions/NEQuantizationLayer.cpp b/src/runtime/NEON/functions/NEQuantizationLayer.cpp
new file mode 100644
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+++ b/src/runtime/NEON/functions/NEQuantizationLayer.cpp
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+/*
+ * 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/runtime/NEON/functions/NEQuantizationLayer.h"
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
+
+using namespace arm_compute;
+
+NEQuantizationLayer::NEQuantizationLayer()
+ : _quantize_kernel(), _min_max_kernel(), _min_max()
+{
+}
+
+void NEQuantizationLayer::configure(const ITensor *input, ITensor *output)
+{
+ // Configure min-max kernel. _min_max tensor will be auto-configured within the kernel
+ _min_max_kernel.configure(input, &_min_max);
+
+ // Configure quantize kernel
+ _quantize_kernel.configure(input, output, &_min_max);
+
+ // Allocate min_max tensor
+ _min_max.allocator()->allocate();
+}
+
+void NEQuantizationLayer::run()
+{
+ // Reset min and max
+ _min_max_kernel.reset();
+
+ // Run min and max kernel
+ NEScheduler::get().schedule(&_min_max_kernel, Window::DimY);
+
+ // Run quantize kernel
+ NEScheduler::get().schedule(&_quantize_kernel, Window::DimY);
+}