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@ -36,10 +36,13 @@ class ReshapeOp : public framework::OperatorWithKernel {
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auto x_dims = ctx->GetInputDim("X");
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auto x_dims = ctx->GetInputDim("X");
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std::vector<size_t> neg_dims_idx;
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std::vector<size_t> neg_dims_idx;
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// set some dimension to -1 if it is unknown
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const int unknown_size = -1;
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for (size_t i = 0; i < shape.size(); ++i) {
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for (size_t i = 0; i < shape.size(); ++i) {
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PADDLE_ENFORCE(shape[i] > 0 || shape[i] == -1,
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PADDLE_ENFORCE(shape[i] > 0 || shape[i] == unknown_size,
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"Each dimension of Attr(shape) must be positive or -1.");
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"Each dimension of Attr(shape) must be positive or %d.",
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if (shape[i] == -1) {
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unknown_size);
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if (shape[i] == unknown_size) {
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neg_dims_idx.push_back(i);
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neg_dims_idx.push_back(i);
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PADDLE_ENFORCE(neg_dims_idx.size() <= 1,
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PADDLE_ENFORCE(neg_dims_idx.size() <= 1,
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"Only one dimension of Attr(shape) can be unknown.");
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"Only one dimension of Attr(shape) can be unknown.");
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@ -53,8 +56,7 @@ class ReshapeOp : public framework::OperatorWithKernel {
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// dim infer
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// dim infer
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shape[neg_dims_idx[0]] = in_size / (-capacity);
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shape[neg_dims_idx[0]] = in_size / (-capacity);
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// recalculate capacity
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// recalculate capacity
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capacity = std::accumulate(shape.begin(), shape.end(), 1,
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capacity = shape[neg_dims_idx[0]] * (-capacity);
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std::multiplies<int>());
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}
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}
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// capacity check
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// capacity check
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PADDLE_ENFORCE(capacity == in_size,
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PADDLE_ENFORCE(capacity == in_size,
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@ -98,9 +100,9 @@ the tensor X into a 2-D tensor:
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[[1, 2, 3, 4]]
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[[1, 2, 3, 4]]
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One dimension in the target shape can be set -1, and the real dimension
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One dimension in the target shape can be set -1, representing that its
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will be infered from the original shape of Input(X) and other
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size is unknown. In this case, the real dimension will be infered from
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dimensions in the target shape.
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the original shape of Input(X) and other dimensions in the target shape.
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)DOC");
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)DOC");
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}
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}
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};
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};
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