From dbb3a523ffb8ffeac3e3b1bc8a3a4404c8d1d151 Mon Sep 17 00:00:00 2001 From: JasonLeeJsL Date: Fri, 24 Nov 2023 15:37:42 +0800 Subject: [PATCH] Hartree kernel in cuda --- d4ft/integral/gto/BUILD | 6 + d4ft/integral/gto/tensorization.py | 56 +++++++++ d4ft/integral/obara_saika/driver.py | 4 +- d4ft/native/obara_saika/BUILD | 50 ++++++-- d4ft/native/obara_saika/eri.h | 70 +++++------ d4ft/native/obara_saika/eri_kernel.cc | 11 ++ d4ft/native/obara_saika/eri_kernel.cu | 160 ++++++++++++++++++++------ d4ft/native/obara_saika/eri_kernel.h | 118 ++++++++++++++++++- d4ft/native/obara_saika/eri_kernel.so | Bin 0 -> 2973168 bytes d4ft/native/xla/custom_call.py | 10 +- 10 files changed, 394 insertions(+), 91 deletions(-) create mode 100644 d4ft/native/obara_saika/eri_kernel.cc create mode 100755 d4ft/native/obara_saika/eri_kernel.so diff --git a/d4ft/integral/gto/BUILD b/d4ft/integral/gto/BUILD index 2f6f046..e50183f 100644 --- a/d4ft/integral/gto/BUILD +++ b/d4ft/integral/gto/BUILD @@ -56,9 +56,15 @@ py_library( py_library( name = "tensorization", srcs = ["tensorization.py"], + data = [ + "//d4ft/native/obara_saika:eri_kernel.so", + "@cuda//:bin", + ], deps = [ ":cgto", "//d4ft:types", + "symmetry", + "//d4ft/native/xla:custom_call", ], ) diff --git a/d4ft/integral/gto/tensorization.py b/d4ft/integral/gto/tensorization.py index 8be8815..d629938 100644 --- a/d4ft/integral/gto/tensorization.py +++ b/d4ft/integral/gto/tensorization.py @@ -22,7 +22,15 @@ from d4ft.integral.gto import symmetry from d4ft.integral.gto.cgto import CGTO, PGTO from d4ft.types import IdxCount2C, IdxCount4C +from d4ft.native.obara_saika.eri_kernel import _Hartree_32, _Hartree_64 +from d4ft.native.xla.custom_call import CustomCallMeta +Hartree_64 = CustomCallMeta("Hartree_64", (_Hartree_64,), {}) +Hartree_32 = CustomCallMeta("Hartree_32", (_Hartree_32,), {}) +if jax.config.jax_enable_x64: + hartree = Hartree_64() +else: + hartree = Hartree_32() def tensorize_2c_cgto(f: Callable, static_args, cgto: bool = True): """2c centers tensorization with provided index set, @@ -105,6 +113,54 @@ def tensorize( return tensorize +def tensorize_4c_cgto_cuda(static_args, cgto: bool = True): + """4c centers tensorization with provided index set. + where the tensor is contracted to cgto. + Used for incore/precompute. + + Args: + cgto: if True, contract the tensor into cgto basis + """ + + @partial(jax.jit, static_argnames=["n_segs"]) + def tensorize( + gtos: CGTO, + idx_counts: IdxCount4C, + cgto_seg_id, + n_segs: int, + ): + Ns = gtos.N + N = gtos.n_pgtos + # Why: Reshape n r z to 1D will significantly reduce computing time + n = jnp.array(gtos.pgto.angular.T, dtype=jnp.int32) + r = jnp.array(gtos.pgto.center.T) + z = jnp.array(gtos.pgto.exponent) + min_a = jnp.array(static_args.min_a, dtype=jnp.int32) + min_c = jnp.array(static_args.min_c, dtype=jnp.int32) + max_ab = jnp.array(static_args.max_ab, dtype=jnp.int32) + max_cd = jnp.array(static_args.max_cd, dtype=jnp.int32) + Ms = jnp.array([static_args.max_xyz+1, static_args.max_yz+1, static_args.max_z+1], dtype=jnp.int32) + abcd_idx = idx_counts[:, :4] + gtos_abcd, coeffs_abcd = zip( + *[ + gtos.map_pgto_params(lambda gto_param, i=i: gto_param[abcd_idx[:, i]]) + for i in range(4) + ] + ) + t_abcd = hartree(jnp.array([N], dtype=jnp.int32), jnp.array(abcd_idx,dtype=jnp.int32), n, r, z, min_a, min_c, max_ab, max_cd, Ms) + if not cgto: + return t_abcd + counts_abcd_i = idx_counts[:, 4] + N_abcd = Ns[abcd_idx].prod(-1) * counts_abcd_i + abcd = jnp.einsum("k,k,k,k,k,k->k", t_abcd, N_abcd, *coeffs_abcd) + cgto_abcd = jax.ops.segment_sum(abcd, cgto_seg_id, n_segs) + print(cgto_abcd.shape) + print(cgto_seg_id.shape) + print(n_segs) + return cgto_abcd + + return tensorize + def tensorize_4c_cgto_range(f: Callable, static_args, cgto: bool = True): """Currently not used. diff --git a/d4ft/integral/obara_saika/driver.py b/d4ft/integral/obara_saika/driver.py index c70fd32..adfde7e 100644 --- a/d4ft/integral/obara_saika/driver.py +++ b/d4ft/integral/obara_saika/driver.py @@ -102,8 +102,8 @@ def ext_fn(a, b, static_args): # counts_ab[:, None]]).astype(int) # pgto_4c_fn = tensorization.tensorize_4c_cgto(eri_fn, s4, cgto=False) - cgto_4c_fn = tensorization.tensorize_4c_cgto(eri_fn, s4) - + # cgto_4c_fn = tensorization.tensorize_4c_cgto(eri_fn, s4) + cgto_4c_fn = tensorization.tensorize_4c_cgto_cuda(s4) # cgto_4c_fn = tensorization.tensorize_4c_cgto_range(eri_fn, s4) # NOTE: these are only needed for prescreening diff --git a/d4ft/native/obara_saika/BUILD b/d4ft/native/obara_saika/BUILD index 2cdd116..b806fce 100644 --- a/d4ft/native/obara_saika/BUILD +++ b/d4ft/native/obara_saika/BUILD @@ -12,8 +12,10 @@ # See the License for the specific language governing permissions and # limitations under the License. +load("@pip_requirements//:requirements.bzl", "requirement") load("@rules_cc//cc:defs.bzl", "cc_library") load("@rules_cuda//cuda:defs.bzl", "cuda_library") +load("@pybind11_bazel//:build_defs.bzl", "pybind_extension") package(default_visibility = ["//visibility:public"]) @@ -42,8 +44,21 @@ cc_library( ], ) + +cc_library( + name = "eri_kernel_h", + hdrs = ["eri_kernel.h"], + copts = [ + "--std=c++17", + ], + deps = [ + "@hemi", + "//d4ft/native/xla:specs", + ], +) + cuda_library( - name = "eri_kernel", + name = "eri_kernel_cu", srcs = ["eri_kernel.cu"], hdrs = ["eri_kernel.h"], copts = [ @@ -56,18 +71,19 @@ cuda_library( deps = [ ":eri", "@hemi", + "//d4ft/native/xla:specs", ], ) -cc_binary( - name = "eri_test", - srcs = ["eri_test.cc"], - deps = [ - ":eri_kernel", - "@cuda//:cudart_static", - "@hemi", - ], -) +# cc_binary( +# name = "eri_test", +# srcs = ["eri_test.cc"], +# deps = [ +# ":eri_kernel", +# "@cuda//:cudart_static", +# "@hemi", +# ], +# ) cc_binary( name = "boys_test", @@ -77,3 +93,17 @@ cc_binary( "@cuda//:cudart_static", ], ) + +pybind_extension( + name = "eri_kernel", + srcs = [ + "eri_kernel.cc", + ], + copts = [ + "--std=c++17", + ], + deps = [ + ":eri_kernel_cu", + "//d4ft/native/xla:custom_call_h", + ], +) \ No newline at end of file diff --git a/d4ft/native/obara_saika/eri.h b/d4ft/native/obara_saika/eri.h index f6f038c..9887b69 100644 --- a/d4ft/native/obara_saika/eri.h +++ b/d4ft/native/obara_saika/eri.h @@ -30,18 +30,18 @@ #define MAX_AB 4 template -HEMI_DEV_CALLABLE void vertical_0_0_c_0(size_t i, const FLOAT* pq, +HEMI_DEV_CALLABLE void vertical_0_0_c_0(int i, const FLOAT* pq, const FLOAT* qc, FLOAT I[][MAX_XYZ + 1], FLOAT rho, FLOAT eta, - const size_t* max_cd, - const size_t* Ms) { + const int* max_cd, + const int* Ms) { FLOAT* I_0_cm2 = I[MAX_CD]; FLOAT* I_0_cm1 = I[0]; FLOAT wq_i = rho * pq[i] / eta; - for (size_t j = 0; j < max_cd[i]; ++j) { + for (int j = 0; j < max_cd[i]; ++j) { FLOAT cm1 = (FLOAT)j; FLOAT* I_0_c = I[j + 1]; - for (size_t k = 0; k <= Ms[i]; ++k) { + for (int k = 0; k <= Ms[i]; ++k) { FLOAT I_mp1_k = wq_i * I_0_cm1[k] + (-cm1 / 2 / eta * rho / eta) * I_0_cm2[k]; I_0_c[k] = qc[i] * I_0_cm1[k] + (cm1 / 2 / eta) * I_0_cm2[k]; @@ -56,31 +56,31 @@ HEMI_DEV_CALLABLE void vertical_0_0_c_0(size_t i, const FLOAT* pq, template HEMI_DEV_CALLABLE void vertical_a_0_c_0( - size_t i, FLOAT I[][MAX_XYZ + 1], const FLOAT* ab, const FLOAT* cd, + int i, FLOAT I[][MAX_XYZ + 1], const FLOAT* ab, const FLOAT* cd, const FLOAT* pa, const FLOAT* pq, FLOAT rho, FLOAT zeta, FLOAT eta, - const size_t* na, const size_t* nb, const size_t* nc, const size_t* nd, - const size_t* Ms, const size_t* min_a, const size_t* min_c, - const size_t* max_ab, const size_t* max_cd, FLOAT* out) { + const int* na, const int* nb, const int* nc, const int* nd, + const int* Ms, const int* min_a, const int* min_c, + const int* max_ab, const int* max_cd, FLOAT* out) { FLOAT cache[MAX_CD + 1][MAX_XYZ + 1] = {0}; FLOAT wa[MAX_AB + 1], wc[MAX_CD + 1]; - for (size_t j = 0; j <= max_ab[i]; ++j) { + for (int j = 0; j <= max_ab[i]; ++j) { FLOAT mask = (FLOAT)(j >= na[i] && j <= na[i] + nb[i]); - wa[j] = mask * HEMI_CONSTANT(comb)[nb[i]][j - na[i]] * - pow(ab[i], nb[i] - j + na[i]); + wa[j] = mask * HEMI_CONSTANT(comb)[nb[i]][std::max(j - na[i],0)] * + pow(ab[i], std::max(nb[i] - j + na[i],0)); } - for (size_t j = 0; j <= max_cd[i]; ++j) { - FLOAT mask = (FLOAT)(j >= nc[i] && j <= nc[i] + nd[i]); - wc[j] = mask * HEMI_CONSTANT(comb)[nd[i]][j - nc[i]] * - pow(cd[i], nd[i] - j + nc[i]); + for (int j = 0; j <= max_cd[i]; ++j) { + FLOAT mask = (FLOAT)(j >= nc[i] && j <= nc[i] + nd[i]); // here + wc[j] = mask * HEMI_CONSTANT(comb)[nd[i]][std::max(j - nc[i],0)] * + pow(cd[i], std::max(nd[i] - j + nc[i], 0)); } FLOAT(*I_am2)[MAX_XYZ + 1] = cache; FLOAT(*I_am1)[MAX_XYZ + 1] = I; FLOAT(*I_a)[MAX_XYZ + 1] = I_am2; - for (size_t j = 0; j <= max_ab[i]; ++j) { + for (int j = 0; j <= max_ab[i]; ++j) { FLOAT am1 = (FLOAT)j; FLOAT wp_i = -rho * pq[i] / zeta; - for (size_t k = 0; k <= max_cd[i]; ++k) { - for (size_t l = 0; l <= Ms[i]; ++l) { + for (int k = 0; k <= max_cd[i]; ++k) { + for (int l = 0; l <= Ms[i]; ++l) { FLOAT I_mp1_kl = wp_i * I_am1[k][l] + (-am1 / 2 / zeta * rho / zeta) * I_am2[k][l]; // inplace write @@ -90,15 +90,15 @@ HEMI_DEV_CALLABLE void vertical_a_0_c_0( } } } - for (size_t k = 0; k < max_cd[i]; ++k) { - for (size_t l = 1; l <= Ms[i]; ++l) { + for (int k = 0; k < max_cd[i]; ++k) { + for (int l = 1; l <= Ms[i]; ++l) { I_a[k + 1][l - 1] += (k + 1) * I_am1[k][l] / 2 / (zeta + eta); } } if (j >= min_a[i]) { FLOAT(*I_j)[MAX_XYZ + 1] = I_am1; - for (size_t k = min_c[i]; k <= max_cd[i]; ++k) { - for (size_t l = 0; l <= Ms[i + 1]; ++l) { + for (int k = min_c[i]; k <= max_cd[i]; ++k) { + for (int l = 0; l <= Ms[i]; ++l) { // Ms[i+1] -> Ms[i] out[l] += wa[j] * I_j[k][l] * wc[k]; } } @@ -138,7 +138,7 @@ HEMI_DEV_CALLABLE FLOAT T(FLOAT rho, FLOAT* pq) { template HEMI_DEV_CALLABLE FLOAT K(FLOAT z1, FLOAT z2, FLOAT* r1, FLOAT* r2) { FLOAT d_squared = 0; - for (size_t i = 0; i < 3; ++i) { + for (int i = 0; i < 3; ++i) { d_squared += (r1[i] - r2[i]) * (r1[i] - r2[i]); } return std::sqrt((FLOAT)2.) * std::pow(M_PI, (FLOAT)(5. / 4.)) / (z1 + z2) * @@ -147,23 +147,23 @@ HEMI_DEV_CALLABLE FLOAT K(FLOAT z1, FLOAT z2, FLOAT* r1, FLOAT* r2) { template HEMI_DEV_CALLABLE FLOAT -eri(size_t nax, size_t nay, size_t naz, size_t nbx, size_t nby, size_t nbz, - size_t ncx, size_t ncy, size_t ncz, size_t ndx, size_t ndy, size_t ndz, +eri(int nax, int nay, int naz, int nbx, int nby, int nbz, + int ncx, int ncy, int ncz, int ndx, int ndy, int ndz, FLOAT rax, FLOAT ray, FLOAT raz, FLOAT rbx, FLOAT rby, FLOAT rbz, FLOAT rcx, FLOAT rcy, FLOAT rcz, FLOAT rdx, FLOAT rdy, FLOAT rdz, FLOAT za, FLOAT zb, - FLOAT zc, FLOAT zd, const size_t* min_a, const size_t* min_c, - const size_t* max_ab, const size_t* max_cd, const size_t* Ms) { - size_t na[3] = {nax, nay, naz}; - size_t nb[3] = {nbx, nby, nbz}; - size_t nc[3] = {ncx, ncy, ncz}; - size_t nd[3] = {ndx, ndy, ndz}; + FLOAT zc, FLOAT zd, const int* min_a, const int* min_c, + const int* max_ab, const int* max_cd, const int* Ms) { + int na[3] = {nax, nay, naz}; + int nb[3] = {nbx, nby, nbz}; + int nc[3] = {ncx, ncy, ncz}; + int nd[3] = {ndx, ndy, ndz}; FLOAT ra[3] = {rax, ray, raz}; FLOAT rb[3] = {rbx, rby, rbz}; FLOAT rc[3] = {rcx, rcy, rcz}; FLOAT rd[3] = {rdx, rdy, rdz}; FLOAT rp_[3], rq_[3], pa_[3], pb_[3], qc_[3], qd_[3], ab_[3], cd_[3], pq_[3]; - for (size_t i = 0; i < 3; ++i) { + for (int i = 0; i < 3; ++i) { rp_[i] = rp(ra[i], rb[i], za, zb); rq_[i] = rp(rc[i], rd[i], zc, zd); pa_[i] = rp_[i] - ra[i]; @@ -194,7 +194,7 @@ eri(size_t nax, size_t nay, size_t naz, size_t nbx, size_t nby, size_t nbz, // reset I to zero std::memset(I, 0, sizeof(I)); // set I[0] to out; - for (size_t i = 0; i <= Ms[1]; ++i) { + for (int i = 0; i <= Ms[1]; ++i) { I[0][i] = out[i]; } // set out[:MAX_Z+1] = {0}; @@ -205,7 +205,7 @@ eri(size_t nax, size_t nay, size_t naz, size_t nbx, size_t nby, size_t nbz, // reset I to zero std::memset(I, 0, sizeof(I)); // set I[0] to out; - for (size_t i = 0; i <= Ms[2]; ++i) { + for (int i = 0; i <= Ms[2]; ++i) { I[0][i] = out[i]; } // set out[:1] = {0}; diff --git a/d4ft/native/obara_saika/eri_kernel.cc b/d4ft/native/obara_saika/eri_kernel.cc new file mode 100644 index 0000000..abf125f --- /dev/null +++ b/d4ft/native/obara_saika/eri_kernel.cc @@ -0,0 +1,11 @@ +#include "eri_kernel.h" + +#include "d4ft/native/xla/custom_call.h" + + +PYBIND11_MODULE(eri_kernel, m) { + // py::class_(m, "Parent").def(py::init<>()); + REGISTER_XLA_FUNCTION(m, Hartree_32); + REGISTER_XLA_FUNCTION(m, Hartree_64); + // REGISTER_XLA_MEMBER(m, Parent, ExampleMember); +} diff --git a/d4ft/native/obara_saika/eri_kernel.cu b/d4ft/native/obara_saika/eri_kernel.cu index ae4ed5f..832e95f 100644 --- a/d4ft/native/obara_saika/eri_kernel.cu +++ b/d4ft/native/obara_saika/eri_kernel.cu @@ -4,46 +4,138 @@ #include "hemi/parallel_for.h" #include -HEMI_DEV_CALLABLE size_t num_unique_ij(size_t n) { return n * (n + 1) / 2; } -HEMI_DEV_CALLABLE size_t num_unique_ijkl(size_t n) { +HEMI_DEV_CALLABLE int num_unique_ij(int n) { return n * (n + 1) / 2; } +HEMI_DEV_CALLABLE int num_unique_ijkl(int n) { return num_unique_ij(num_unique_ij(n)); } -HEMI_DEV_CALLABLE void triu_ij_from_index(size_t n, size_t index, size_t *i, - size_t *j) { - size_t a = 1; - size_t b = (2 * n + 1); - size_t c = 2 * index; - size_t i_ = (size_t)((b - std::sqrt(b * b - 4 * a * c)) / (2 * a)); - size_t j_ = size_t(index - (2 * n + 1 - i_) * i_ / 2 + i_); +HEMI_DEV_CALLABLE void triu_ij_from_index(int n, int index, int *i, + int *j) { + int a = 1; + int b = (2 * n + 1); + int c = 2 * index; + int i_ = (int)((b - std::sqrt(b * b - 4 * a * c)) / (2 * a)); + int j_ = int(index - (2 * n + 1 - i_) * i_ / 2 + i_); *i = i_; *j = j_; } -template -void hartree(const size_t N, const size_t *n, const FLOAT *r, const FLOAT *z, - const size_t *min_a, const size_t *min_c, const size_t *max_ab, - const size_t *max_cd, const size_t *Ms, FLOAT *output) { - std::cout << num_unique_ijkl(N) << std::endl; - hemi::parallel_for(0, num_unique_ijkl(N), [=] HEMI_LAMBDA(int index) { - size_t i, j, k, l, ij, kl; - triu_ij_from_index(num_unique_ij(N), index, &ij, &kl); - triu_ij_from_index(N, ij, &i, &j); - triu_ij_from_index(N, kl, &k, &l); - float out = eri(n[0 * N + i], n[1 * N + i], n[2 * N + i], // a - n[0 * N + j], n[1 * N + j], n[2 * N + j], // b - n[0 * N + k], n[1 * N + k], n[2 * N + k], // c - n[0 * N + l], n[1 * N + l], n[2 * N + l], // d - r[0 * N + i], r[1 * N + i], r[2 * N + i], // a - r[0 * N + j], r[1 * N + j], r[2 * N + j], // b - r[0 * N + k], r[1 * N + k], r[2 * N + k], // c - r[0 * N + l], r[1 * N + l], r[2 * N + l], // d - z[i], z[j], z[k], z[l], // z - min_a, min_c, max_ab, max_cd, Ms); +// template +void Hartree_32::Gpu(cudaStream_t stream, + Array& N, + Array& index_4c, + Array& n, + Array& r, + Array& z, + Array& min_a, + Array& min_c, + Array& max_ab, + Array& max_cd, + Array& Ms, + Array& output) { + std::cout<shape[0]<shape[0], [=] HEMI_LAMBDA(int index) { + int i, j, k, l, ij, kl; + // triu_ij_from_index(num_unique_ij(N.ptr[0]), index_4c.ptr[index], &ij, &kl); + // triu_ij_from_index(N.ptr[0], ij, &i, &j); + // triu_ij_from_index(N.ptr[0], kl, &k, &l); + // output.ptr[index] = index_4c.ptr[index]; + i = index_4c.ptr[4*index + 0]; + j = index_4c.ptr[4*index + 1]; + k = index_4c.ptr[4*index + 2]; + l = index_4c.ptr[4*index + 3]; + output.ptr[index] = eri(n.ptr[0 * N.ptr[0] + i], n.ptr[1 * N.ptr[0] + i], n.ptr[2 * N.ptr[0] + i], // a + n.ptr[0 * N.ptr[0] + j], n.ptr[1 * N.ptr[0] + j], n.ptr[2 * N.ptr[0] + j], // b + n.ptr[0 * N.ptr[0] + k], n.ptr[1 * N.ptr[0] + k], n.ptr[2 * N.ptr[0] + k], // c + n.ptr[0 * N.ptr[0] + l], n.ptr[1 * N.ptr[0] + l], n.ptr[2 * N.ptr[0] + l], // d + r.ptr[0 * N.ptr[0] + i], r.ptr[1 * N.ptr[0] + i], r.ptr[2 * N.ptr[0] + i], // a + r.ptr[0 * N.ptr[0] + j], r.ptr[1 * N.ptr[0] + j], r.ptr[2 * N.ptr[0] + j], // b + r.ptr[0 * N.ptr[0] + k], r.ptr[1 * N.ptr[0] + k], r.ptr[2 * N.ptr[0] + k], // c + r.ptr[0 * N.ptr[0] + l], r.ptr[1 * N.ptr[0] + l], r.ptr[2 * N.ptr[0] + l], // d + z.ptr[i], z.ptr[j], z.ptr[k], z.ptr[l], // z + min_a.ptr, min_c.ptr, max_ab.ptr, max_cd.ptr, Ms.ptr); }); } -template void hartree(const size_t N, const size_t *n, const float *r, - const float *z, const size_t *min_a, - const size_t *min_c, const size_t *max_ab, - const size_t *max_cd, const size_t *Ms, - float *output); +void Hartree_64::Gpu(cudaStream_t stream, + Array& N, + Array& index_4c, + Array& n, + Array& r, + Array& z, + Array& min_a, + Array& min_c, + Array& max_ab, + Array& max_cd, + Array& Ms, + Array& output) { + std::cout<shape[0]<shape[0], [=] HEMI_LAMBDA(int index) { + int i, j, k, l, ij, kl; + // triu_ij_from_index(num_unique_ij(N.ptr[0]), index_4c.ptr[index], &ij, &kl); + // triu_ij_from_index(N.ptr[0], ij, &i, &j); + // triu_ij_from_index(N.ptr[0], kl, &k, &l); + // output.ptr[index] = index_4c.ptr[index]; + i = index_4c.ptr[4*index + 0]; + j = index_4c.ptr[4*index + 1]; + k = index_4c.ptr[4*index + 2]; + l = index_4c.ptr[4*index + 3]; + output.ptr[index] = eri(n.ptr[0 * N.ptr[0] + i], n.ptr[1 * N.ptr[0] + i], n.ptr[2 * N.ptr[0] + i], // a + n.ptr[0 * N.ptr[0] + j], n.ptr[1 * N.ptr[0] + j], n.ptr[2 * N.ptr[0] + j], // b + n.ptr[0 * N.ptr[0] + k], n.ptr[1 * N.ptr[0] + k], n.ptr[2 * N.ptr[0] + k], // c + n.ptr[0 * N.ptr[0] + l], n.ptr[1 * N.ptr[0] + l], n.ptr[2 * N.ptr[0] + l], // d + r.ptr[0 * N.ptr[0] + i], r.ptr[1 * N.ptr[0] + i], r.ptr[2 * N.ptr[0] + i], // a + r.ptr[0 * N.ptr[0] + j], r.ptr[1 * N.ptr[0] + j], r.ptr[2 * N.ptr[0] + j], // b + r.ptr[0 * N.ptr[0] + k], r.ptr[1 * N.ptr[0] + k], r.ptr[2 * N.ptr[0] + k], // c + r.ptr[0 * N.ptr[0] + l], r.ptr[1 * N.ptr[0] + l], r.ptr[2 * N.ptr[0] + l], // d + z.ptr[i], z.ptr[j], z.ptr[k], z.ptr[l], // z + min_a.ptr, min_c.ptr, max_ab.ptr, max_cd.ptr, Ms.ptr); + }); +} + +// HEMI_DEV_CALLABLE size_t num_unique_ij(size_t n) { return n * (n + 1) / 2; } +// HEMI_DEV_CALLABLE size_t num_unique_ijkl(size_t n) { +// return num_unique_ij(num_unique_ij(n)); +// } +// HEMI_DEV_CALLABLE void triu_ij_from_index(size_t n, size_t index, size_t *i, +// size_t *j) { +// size_t a = 1; +// size_t b = (2 * n + 1); +// size_t c = 2 * index; +// size_t i_ = (size_t)((b - std::sqrt(b * b - 4 * a * c)) / (2 * a)); +// size_t j_ = size_t(index - (2 * n + 1 - i_) * i_ / 2 + i_); +// *i = i_; +// *j = j_; +// } + +// template +// void hartree(const size_t N, const size_t *n, const FLOAT *r, const FLOAT *z, +// const size_t *min_a, const size_t *min_c, const size_t *max_ab, +// const size_t *max_cd, const size_t *Ms, FLOAT *output) { +// std::cout << num_unique_ijkl(N) << std::endl; +// hemi::parallel_for(0, num_unique_ijkl(N), [=] HEMI_LAMBDA(int index) { +// size_t i, j, k, l, ij, kl; +// triu_ij_from_index(num_unique_ij(N), index, &ij, &kl); +// triu_ij_from_index(N, ij, &i, &j); +// triu_ij_from_index(N, kl, &k, &l); +// float out = eri(n[0 * N + i], n[1 * N + i], n[2 * N + i], // a +// n[0 * N + j], n[1 * N + j], n[2 * N + j], // b +// n[0 * N + k], n[1 * N + k], n[2 * N + k], // c +// n[0 * N + l], n[1 * N + l], n[2 * N + l], // d +// r[0 * N + i], r[1 * N + i], r[2 * N + i], // a +// r[0 * N + j], r[1 * N + j], r[2 * N + j], // b +// r[0 * N + k], r[1 * N + k], r[2 * N + k], // c +// r[0 * N + l], r[1 * N + l], r[2 * N + l], // d +// z[i], z[j], z[k], z[l], // z +// min_a, min_c, max_ab, max_cd, Ms); +// }); +// } + +// template void hartree(const size_t N, const size_t *n, const float *r, +// const float *z, const size_t *min_a, +// const size_t *min_c, const size_t *max_ab, +// const size_t *max_cd, const size_t *Ms, +// float *output); diff --git a/d4ft/native/obara_saika/eri_kernel.h b/d4ft/native/obara_saika/eri_kernel.h index be3daf4..84fff6f 100644 --- a/d4ft/native/obara_saika/eri_kernel.h +++ b/d4ft/native/obara_saika/eri_kernel.h @@ -17,14 +17,122 @@ #ifndef PLAS_GPU_ERI_KERNEL_H_ #define PLAS_GPU_ERI_KERNEL_H_ +#include + +#include + #include #include "hemi/hemi.h" -template -extern void hartree(const size_t N, const size_t* n, const FLOAT* r, - const FLOAT* z, const size_t* min_a, const size_t* min_c, - const size_t* max_ab, const size_t* max_cd, - const size_t* Ms, FLOAT* output); +#include "d4ft/native/xla/specs.h" + +class Hartree_32 { + public: + // template + static auto ShapeInference(const Spec& shape1, + const Spec& shape10, + const Spec& shape2, + const Spec& shape3, + const Spec& shape4, + const Spec& shape5, + const Spec& shape6, + const Spec& shape7, + const Spec& shape8, + const Spec& shape9) { + // float n2 = shape4.shape[0]*(shape4.shape[0]+1)/2; + // float n4 = n2*(n2+1)/2; + // int n4_int = static_cast(n4); + std::vector outshape={shape10.shape[0]}; + Spec out(outshape); + return std::make_tuple(out); + } + // static void Cpu(Array& arg1, Array& arg2, + // Array& out) { + // std::memcpy(out.ptr, arg1.ptr, sizeof(float) * arg1.spec->Size()); + // } + // template + static void Cpu(Array& N, + Array& index_4c, + Array& n, + Array& r, + Array& z, + Array& min_a, + Array& min_c, + Array& max_ab, + Array& max_cd, + Array& Ms, + Array& output){ + // std::memcpy(output.ptr, outshape.ptr, sizeof(float) * outshape.spec->Size()); + } + + // template + static void Gpu(cudaStream_t stream, + Array& N, + Array& index_4c, + Array& n, + Array& r, + Array& z, + Array& min_a, + Array& min_c, + Array& max_ab, + Array& max_cd, + Array& Ms, + Array& output); +}; + +class Hartree_64 { + public: + // template + static auto ShapeInference(const Spec& shape1, + const Spec& shape10, + const Spec& shape2, + const Spec& shape3, + const Spec& shape4, + const Spec& shape5, + const Spec& shape6, + const Spec& shape7, + const Spec& shape8, + const Spec& shape9) { + // double n2 = shape4.shape[0]*(shape4.shape[0]+1)/2; + // double n4 = n2*(n2+1)/2; + // int n4_int = static_cast(n4); + std::vector outshape={shape10.shape[0]}; + Spec out(outshape); + return std::make_tuple(out); + } + // static void Cpu(Array& arg1, Array& arg2, + // Array& out) { + // std::memcpy(out.ptr, arg1.ptr, sizeof(float) * arg1.spec->Size()); + // } + // template + static void Cpu(Array& N, + Array& index_4c, + Array& n, + Array& r, + Array& z, + Array& min_a, + Array& min_c, + Array& max_ab, + Array& max_cd, + Array& Ms, + Array& output){ + // std::memcpy(output.ptr, outshape.ptr, sizeof(float) * outshape.spec->Size()); + } + + // template + static void Gpu(cudaStream_t stream, + Array& N, + Array& index_4c, + Array& n, + Array& r, + Array& z, + Array& min_a, + Array& min_c, + Array& max_ab, + Array& max_cd, + Array& Ms, + Array& output); +}; #endif diff --git a/d4ft/native/obara_saika/eri_kernel.so b/d4ft/native/obara_saika/eri_kernel.so new file mode 100755 index 0000000000000000000000000000000000000000..06cfcfb876711c3e1218dfc7bdb1331065c8b804 GIT binary patch literal 2973168 zcmeFa33yb+5;i>Gj*7T|sHlj@E+ip@MMPNwgf%1q5rturOh{m|Fqs7KA}VgU0V<** zBBFvjh`4WvxPpjW6cUJsUEN(>U0q$> z=YsSh{p;7Ow~vp{KE7VQdioFf^GyDIMb4>F^h{qj-$C-rDZZAz{RQ1u{&yySwg22n 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input_shapes = tuple(arg.shape for arg in args) - output_shapes = self._shape_inference(input_shapes) - self._state = self._opaque(input_shapes, output_shapes) - + # if not hasattr(self, "_state"): + input_shapes = tuple(arg.shape for arg in args) + output_shapes = self._shape_inference(input_shapes) + self._state = self._opaque(input_shapes, output_shapes) + # _state = self._opaque(input_shapes, output_shapes) output = self.prim.bind(self._state, *args) if base._is_member: assert len(output) >= 2

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