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avoid converting a TensorOptions from float to integer
Summary: pytorch is adding checks that mean integer tensors with requires_grad=True need to be avoided. Fix accidentally creating them. Reviewed By: jcjohnson, gkioxari Differential Revision: D21576712 fbshipit-source-id: 008218997986800a36d93caa1a032ee91f2bffcd
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@@ -321,7 +321,7 @@ RasterizeMeshesNaiveCuda(
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const int W = image_size;
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const int K = num_closest;
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auto long_opts = face_verts.options().dtype(at::kLong);
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auto long_opts = num_faces_per_mesh.options().dtype(at::kLong);
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auto float_opts = face_verts.options().dtype(at::kFloat);
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at::Tensor face_idxs = at::full({N, H, W, K}, -1, long_opts);
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@@ -701,7 +701,7 @@ at::Tensor RasterizeMeshesCoarseCuda(
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ss << "Got " << num_bins << "; that's too many!";
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AT_ERROR(ss.str());
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}
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auto opts = face_verts.options().dtype(at::kInt);
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auto opts = num_faces_per_mesh.options().dtype(at::kInt);
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at::Tensor faces_per_bin = at::zeros({N, num_bins, num_bins}, opts);
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at::Tensor bin_faces = at::full({N, num_bins, num_bins, M}, -1, opts);
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@@ -868,7 +868,7 @@ RasterizeMeshesFineCuda(
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if (K > kMaxPointsPerPixel) {
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AT_ERROR("Must have num_closest <= 150");
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}
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auto long_opts = face_verts.options().dtype(at::kLong);
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auto long_opts = bin_faces.options().dtype(at::kLong);
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auto float_opts = face_verts.options().dtype(at::kFloat);
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at::Tensor face_idxs = at::full({N, H, W, K}, -1, long_opts);
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