Disabled a power-of-two error check as this may be too strict. See test_dims in autotest.cc which dimensions are guaranteed to work with reductions. Other dimensions may also work but are not yet extensively tested
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@@ -6,8 +6,8 @@
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* =============================================================================
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*/
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AC_nx = 192
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AC_ny = 120
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AC_nz = 7
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AC_ny = 128
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AC_nz = 8
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AC_dsx = 0.04908738521
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AC_dsy = 0.04908738521
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@@ -18,7 +18,7 @@ AC_dsz = 0.04908738521
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* Run-time params
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* =============================================================================
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*/
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AC_max_steps = 1001
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AC_max_steps = 1001
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AC_save_steps = 10
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AC_bin_steps = 1000
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AC_bin_save_t = 1e666
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@@ -1025,9 +1025,9 @@ reduce_vec(const cudaStream_t stream,
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// NOTE! Also does not work properly with non-power of two mesh dimension
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// Issue is with "smem[BLOCK_SIZE];". If you init smem to NANs, you can
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// see that uninitialized smem values are used in the comparison
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ERRCHK_ALWAYS(is_power_of_two(nx));
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ERRCHK_ALWAYS(is_power_of_two(ny));
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ERRCHK_ALWAYS(is_power_of_two(nz));
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//ERRCHK_ALWAYS(is_power_of_two(nx));
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//ERRCHK_ALWAYS(is_power_of_two(ny));
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//ERRCHK_ALWAYS(is_power_of_two(nz));
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if (rtype == RTYPE_MAX || rtype == RTYPE_MIN) {
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kernel_reduce_1of3_vec<dlength_vec><<<bpg, tpb, 0, stream>>>(vtxbuf0, vtxbuf1, vtxbuf2, scratchpad);
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@@ -153,8 +153,8 @@ draw_vertex_buffer(const AcMesh& mesh, const VertexBufferHandle& vertex_buffer,
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const float max = float(model_reduce_scal(mesh, RTYPE_MAX, vertex_buffer));
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const float min = float(model_reduce_scal(mesh, RTYPE_MIN, vertex_buffer));
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*/
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const float max = 1.f;//float(acReduceScal(RTYPE_MAX, vertex_buffer));
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const float min = 0.f;//float(acReduceScal(RTYPE_MIN, vertex_buffer));
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const float max = float(acReduceScal(RTYPE_MAX, vertex_buffer));
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const float min = float(acReduceScal(RTYPE_MIN, vertex_buffer));
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const float range = fabsf(max - min);
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const float mid = max - .5f * range;
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