outShape);
}
} break;
+#endif // REF-ANN
case OperationType::MAX_POOL_2D: {
const size_t inCount = ins.size();
if ((inCount != 10 && inCount != 7) ||
}
} break;
+#if 0 // REF-ANN
case OperationType::RELU: {
if (!allParametersPresent(1, 1)) {
return ANEURALNETWORKS_BAD_DATA;
outShape);
}
} break;
+#endif // REF-ANN
case OperationType::SOFTMAX: {
if (!allParametersPresent(2, 1)) {
return ANEURALNETWORKS_BAD_DATA;
output.shape());
}
} break;
+#if 0 // REF-ANN
case OperationType::FULLY_CONNECTED: {
if (!allParametersPresent(4, 1)) {
return ANEURALNETWORKS_BAD_DATA;
outShape);
}
} break;
+#endif // REF-ANN
case OperationType::CONCATENATION: {
if (outs.size() != 1 || ins.size() < 2) {
return ANEURALNETWORKS_BAD_DATA;
outShape);
}
} break;
+#if 0 // REF-ANN
case OperationType::L2_NORMALIZATION: {
if (!allParametersPresent(1, 1)) {
return ANEURALNETWORKS_BAD_DATA;
--- /dev/null
+/*
+ * Copyright (C) 2017 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Operations.h"
+#include "OperationsUtils.h"
+
+#include "internal/optimized/optimized_ops.h"
+
+namespace android {
+namespace nn {
+
+bool concatenationFloat32(const std::vector<const float*>& inputDataPtrs,
+ const std::vector<Shape>& inputShapes, int32_t axis,
+ float* outputData, const Shape& outputShape) {
+ int num_inputs = inputShapes.size();
+ std::vector<Dims<4>*> inputDimsPtr(num_inputs);
+ std::vector<Dims<4> > inputDims(num_inputs);
+ for (int i=0; i<num_inputs; i++) {
+ inputDims[i] = convertShapeToDims(inputShapes[i]);
+ inputDimsPtr[i] = &inputDims[i];
+ }
+
+ optimized_ops::Concatenation<FusedActivationFunctionType::kNone, float>(
+ getNumberOfDimensions(outputShape) - axis - 1,
+ inputDataPtrs.data(), inputDimsPtr.data(), num_inputs,
+ outputData, convertShapeToDims(outputShape));
+
+ return true;
+}
+
+bool concatenationQuant8(const std::vector<const uint8_t*>& inputDataPtrs,
+ const std::vector<Shape>& inputShapes, int32_t axis,
+ uint8_t* outputData, const Shape& outputShape) {
+ int num_inputs = inputShapes.size();
+ std::vector<Dims<4>*> inputDimsPtr(num_inputs);
+ std::vector<Dims<4> > inputDims(num_inputs);
+ for (int i=0; i<num_inputs; i++) {
+ inputDims[i] = convertShapeToDims(inputShapes[i]);
+ inputDimsPtr[i] = &inputDims[i];
+ }
+
+ optimized_ops::Concatenation<FusedActivationFunctionType::kNone, uint8_t>(
+ getNumberOfDimensions(outputShape) - axis - 1,
+ inputDataPtrs.data(), inputDimsPtr.data(), num_inputs,
+ outputData, convertShapeToDims(outputShape));
+
+ return true;
+}
+} // namespace nn
+} // namespace android