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Implement InvalidShapeException
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@@ -6,27 +6,39 @@ using namespace CUDANet::Layers;
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MaxPool2d::MaxPool2d(
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CUDANet::Shape input_shape,
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CUDANet::Shape pooling_shape,
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CUDANet::Shape pool_shape,
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CUDANet::Shape stride_shape,
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CUDANet::Shape padding_shape,
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CUDANet::Backend* backend
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)
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: in_shape(input_shape),
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pooling_shape(pooling_shape),
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pool_shape(pool_shape),
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stride_shape(stride_shape),
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padding_shape(padding_shape),
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backend(backend) {
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size_t out_h = (in_shape[0] + 2 * padding_shape[0] - pooling_shape[0]) /
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stride_shape[0] +
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1;
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size_t out_w = (in_shape[1] + 2 * padding_shape[1] - pooling_shape[1]) /
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stride_shape[1] +
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1;
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if (in_shape.size() != 3) {
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throw InvalidShapeException("input", 3, in_shape.size());
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}
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out_shape.resize(3);
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out_shape[0] = out_h;
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out_shape[1] = out_w;
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out_shape[2] = in_shape[2];
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if (pool_shape.size() != 2) {
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throw InvalidShapeException("pool", 2, pool_shape.size());
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}
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if (stride_shape.size() != 2) {
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throw InvalidShapeException("stride", 2, stride_shape.size());
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}
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if (padding_shape.size() != 2) {
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throw InvalidShapeException("padding", 2, padding_shape.size());
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}
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out_shape = {
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(in_shape[0] + 2 * padding_shape[0] - pool_shape[0]) / stride_shape[0] +
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1,
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(in_shape[1] + 2 * padding_shape[1] - pool_shape[1]) / stride_shape[1] +
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1,
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in_shape[2]
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};
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output = CUDANet::Tensor(
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Shape{out_shape[0] * out_shape[1] * out_shape[3]},
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@@ -39,7 +51,7 @@ MaxPool2d::~MaxPool2d() {}
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CUDANet::Tensor& MaxPool2d::forward(CUDANet::Tensor& input) {
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output.zero();
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backend->maxPool2d(
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input, output, in_shape, pooling_shape, stride_shape, padding_shape,
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input, output, in_shape, pool_shape, stride_shape, padding_shape,
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out_shape
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);
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return output;
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