> HSA_XNACK=1 clients/staging/rocsparse-test --gtest_filter="*csrgemm*"
...
[ FAILED ] 9 tests, listed below:
[ FAILED ] nightly/csrgemm.extra/f64_r_1_5239_1_2_0_n99_0_NT_NT_0b_0b_0b_0b_csr_bmwcra_1, where GetParam() = { function: "csrgemm", index_type_I: "i32", index_type_J: "i32", compute_type: "f64_r", transA: "NT", transB: "NT", baseA: "0b", baseB: "0b", baseC: "0b", baseD: "0b", M: 1, N: 5239, K: 1, nnz: -1, block_dim: 2, row_block_dimA: 2, col_block_dimA: 2, row_block_dimB: 2, col_block_dimB: 2, dim_x: 1, dim_y: 1, dim_z: 1, ll: -2, l: -1, u: 1, uu: 2, alpha: 2.0, alphai: 0.0, beta: -99.0, betai: 0.0, threshold: 1.0, percentage: 0.0, action: "num", part: "auto", matrix_type: "general", diag: "ND", uplo: "L", storage: "sorted", analysis_policy: "reuse", solve_policy: "auto", direction: "row", order: "col", format: "coo", itilu0_alg: "async_inplace", sddmm_alg: "default", spmv_alg: "default", spsv_alg: "default", spsm_alg: "default", spmm_alg: "default", spgemm_alg: "default", sparse_to_dense_alg: "default", dense_to_sparse_alg: "default", gtsv_interleaved_alg: "default", gpsv_interleaved_alg: "default", matrix: "csr", matrix_init_kind: "default", file: "bmwcra_1", algo: 0, numeric_boost: 0, boost_tol: 0.0, boost_val: 1.0, boost_vali: 0.0, tolm: 1.0, name: "csrgemm_mult_file", category: "nightly", hardware: "all", unit_check: 1, timing: 0, iters: 10, denseld: -1, batch_count: -1, batch_count_A: -1, batch_count_B: -1, batch_count_C: -1, batch_stride: -1 }
[ FAILED ] nightly/csrgemm_reuse.extra/f64_c_842323_1492312_743434_0_1p5_n99_0_NT_NT_0b_0b_0b_0b_rand, where GetParam() = { function: "csrgemm_reuse", index_type_I: "i32", index_type_J: "i32", compute_type: "f64_c", transA: "NT", transB: "NT", baseA: "0b", baseB: "0b", baseC: "0b", baseD: "0b", M: 842323, N: 1492312, K: 743434, nnz: -1, block_dim: 2, row_block_dimA: 2, col_block_dimA: 2, row_block_dimB: 2, col_block_dimB: 2, dim_x: 1, dim_y: 1, dim_z: 1, ll: -2, l: -1, u: 1, uu: 2, alpha: 0.0, alphai: 1.5, beta: -99.0, betai: 0.0, threshold: 1.0, percentage: 0.0, action: "num", part: "auto", matrix_type: "general", diag: "ND", uplo: "L", storage: "sorted", analysis_policy: "reuse", solve_policy: "auto", direction: "row", order: "col", format: "coo", itilu0_alg: "async_inplace", sddmm_alg: "default", spmv_alg: "default", spsv_alg: "default", spsm_alg: "default", spmm_alg: "default", spgemm_alg: "default", sparse_to_dense_alg: "default", dense_to_sparse_alg: "default", gtsv_interleaved_alg: "default", gpsv_interleaved_alg: "default", matrix: "rand", matrix_init_kind: "default", file: "*", algo: 0, numeric_boost: 0, boost_tol: 0.0, boost_val: 1.0, boost_vali: 0.0, tolm: 1.0, name: "csrgemm_reuse_mult", category: "nightly", hardware: "all", unit_check: 1, timing: 0, iters: 10, denseld: -1, batch_count: -1, batch_count_A: -1, batch_count_B: -1, batch_count_C: -1, batch_stride: -1 }
[ FAILED ] nightly/csrgemm_reuse.extra/f64_r_1_5239_1_2_0_n99_0_NT_NT_0b_0b_0b_0b_csr_bmwcra_1, where GetParam() = { function: "csrgemm_reuse", index_type_I: "i32", index_type_J: "i32", compute_type: "f64_r", transA: "NT", transB: "NT", baseA: "0b", baseB: "0b", baseC: "0b", baseD: "0b", M: 1, N: 5239, K: 1, nnz: -1, block_dim: 2, row_block_dimA: 2, col_block_dimA: 2, row_block_dimB: 2, col_block_dimB: 2, dim_x: 1, dim_y: 1, dim_z: 1, ll: -2, l: -1, u: 1, uu: 2, alpha: 2.0, alphai: 0.0, beta: -99.0, betai: 0.0, threshold: 1.0, percentage: 0.0, action: "num", part: "auto", matrix_type: "general", diag: "ND", uplo: "L", storage: "sorted", analysis_policy: "reuse", solve_policy: "auto", direction: "row", order: "col", format: "coo", itilu0_alg: "async_inplace", sddmm_alg: "default", spmv_alg: "default", spsv_alg: "default", spsm_alg: "default", spmm_alg: "default", spgemm_alg: "default", sparse_to_dense_alg: "default", dense_to_sparse_alg: "default", gtsv_interleaved_alg: "default", gpsv_interleaved_alg: "default", matrix: "csr", matrix_init_kind: "default", file: "bmwcra_1", algo: 0, numeric_boost: 0, boost_tol: 0.0, boost_val: 1.0, boost_vali: 0.0, tolm: 1.0, name: "csrgemm_reuse_mult_file", category: "nightly", hardware: "all", unit_check: 1, timing: 0, iters: 10, denseld: -1, batch_count: -1, batch_count_A: -1, batch_count_B: -1, batch_count_C: -1, batch_stride: -1 }
[ FAILED ] nightly/csrgemm_reuse.extra/f32_r_1_1_n1_n99_0_3_0_NT_NT_0b_0b_0b_0b_csr_bibd_22_8, where GetParam() = { function: "csrgemm_reuse", index_type_I: "i32", index_type_J: "i32", compute_type: "f32_r", transA: "NT", transB: "NT", baseA: "0b", baseB: "0b", baseC: "0b", baseD: "0b", M: 1, N: 1, K: -1, nnz: -1, block_dim: 2, row_block_dimA: 2, col_block_dimA: 2, row_block_dimB: 2, col_block_dimB: 2, dim_x: 1, dim_y: 1, dim_z: 1, ll: -2, l: -1, u: 1, uu: 2, alpha: -99.0, alphai: 0.0, beta: 3.0, betai: 0.0, threshold: 1.0, percentage: 0.0, action: "num", part: "auto", matrix_type: "general", diag: "ND", uplo: "L", storage: "sorted", analysis_policy: "reuse", solve_policy: "auto", direction: "row", order: "col", format: "coo", itilu0_alg: "async_inplace", sddmm_alg: "default", spmv_alg: "default", spsv_alg: "default", spsm_alg: "default", spmm_alg: "default", spgemm_alg: "default", sparse_to_dense_alg: "default", dense_to_sparse_alg: "default", gtsv_interleaved_alg: "default", gpsv_interleaved_alg: "default", matrix: "csr", matrix_init_kind: "default", file: "bibd_22_8", algo: 0, numeric_boost: 0, boost_tol: 0.0, boost_val: 1.0, boost_vali: 0.0, tolm: 1.0, name: "csrgemm_reuse_scale_file", category: "nightly", hardware: "all", unit_check: 1, timing: 0, iters: 10, denseld: -1, batch_count: -1, batch_count_A: -1, batch_count_B: -1, batch_count_C: -1, batch_stride: -1 }
[ FAILED ] nightly/csrgemm_reuse.extra/f64_r_1_1_n1_n99_0_3_0_NT_NT_0b_0b_0b_0b_csr_Chebyshev4, where GetParam() = { function: "csrgemm_reuse", index_type_I: "i32", index_type_J: "i32", compute_type: "f64_r", transA: "NT", transB: "NT", baseA: "0b", baseB: "0b", baseC: "0b", baseD: "0b", M: 1, N: 1, K: -1, nnz: -1, block_dim: 2, row_block_dimA: 2, col_block_dimA: 2, row_block_dimB: 2, col_block_dimB: 2, dim_x: 1, dim_y: 1, dim_z: 1, ll: -2, l: -1, u: 1, uu: 2, alpha: -99.0, alphai: 0.0, beta: 3.0, betai: 0.0, threshold: 1.0, percentage: 0.0, action: "num", part: "auto", matrix_type: "general", diag: "ND", uplo: "L", storage: "sorted", analysis_policy: "reuse", solve_policy: "auto", direction: "row", order: "col", format: "coo", itilu0_alg: "async_inplace", sddmm_alg: "default", spmv_alg: "default", spsv_alg: "default", spsm_alg: "default", spmm_alg: "default", spgemm_alg: "default", sparse_to_dense_alg: "default", dense_to_sparse_alg: "default", gtsv_interleaved_alg: "default", gpsv_interleaved_alg: "default", matrix: "csr", matrix_init_kind: "default", file: "Chebyshev4", algo: 0, numeric_boost: 0, boost_tol: 0.0, boost_val: 1.0, boost_vali: 0.0, tolm: 1.0, name: "csrgemm_reuse_scale_file", category: "nightly", hardware: "all", unit_check: 1, timing: 0, iters: 10, denseld: -1, batch_count: -1, batch_count_A: -1, batch_count_B: -1, batch_count_C: -1, batch_stride: -1 }
[ FAILED ] nightly/csrgemm_reuse.extra/f64_r_1_1_n1_n99_0_n0p5_0_NT_NT_0b_0b_0b_0b_csr_Chebyshev4, where GetParam() = { function: "csrgemm_reuse", index_type_I: "i32", index_type_J: "i32", compute_type: "f64_r", transA: "NT", transB: "NT", baseA: "0b", baseB: "0b", baseC: "0b", baseD: "0b", M: 1, N: 1, K: -1, nnz: -1, block_dim: 2, row_block_dimA: 2, col_block_dimA: 2, row_block_dimB: 2, col_block_dimB: 2, dim_x: 1, dim_y: 1, dim_z: 1, ll: -2, l: -1, u: 1, uu: 2, alpha: -99.0, alphai: 0.0, beta: -0.5, betai: 0.0, threshold: 1.0, percentage: 0.0, action: "num", part: "auto", matrix_type: "general", diag: "ND", uplo: "L", storage: "sorted", analysis_policy: "reuse", solve_policy: "auto", direction: "row", order: "col", format: "coo", itilu0_alg: "async_inplace", sddmm_alg: "default", spmv_alg: "default", spsv_alg: "default", spsm_alg: "default", spmm_alg: "default", spgemm_alg: "default", sparse_to_dense_alg: "default", dense_to_sparse_alg: "default", gtsv_interleaved_alg: "default", gpsv_interleaved_alg: "default", matrix: "csr", matrix_init_kind: "default", file: "Chebyshev4", algo: 0, numeric_boost: 0, boost_tol: 0.0, boost_val: 1.0, boost_vali: 0.0, tolm: 1.0, name: "csrgemm_reuse_scale_file", category: "nightly", hardware: "all", unit_check: 1, timing: 0, iters: 10, denseld: -1, batch_count: -1, batch_count_A: -1, batch_count_B: -1, batch_count_C: -1, batch_stride: -1 }
[ FAILED ] nightly/csrgemm_reuse.extra/f32_c_1_1_n1_n99_0_0_1p5_NT_NT_0b_0b_0b_0b_csr_Chevron4, where GetParam() = { function: "csrgemm_reuse", index_type_I: "i32", index_type_J: "i32", compute_type: "f32_c", transA: "NT", transB: "NT", baseA: "0b", baseB: "0b", baseC: "0b", baseD: "0b", M: 1, N: 1, K: -1, nnz: -1, block_dim: 2, row_block_dimA: 2, col_block_dimA: 2, row_block_dimB: 2, col_block_dimB: 2, dim_x: 1, dim_y: 1, dim_z: 1, ll: -2, l: -1, u: 1, uu: 2, alpha: -99.0, alphai: 0.0, beta: 0.0, betai: 1.5, threshold: 1.0, percentage: 0.0, action: "num", part: "auto", matrix_type: "general", diag: "ND", uplo: "L", storage: "sorted", analysis_policy: "reuse", solve_policy: "auto", direction: "row", order: "col", format: "coo", itilu0_alg: "async_inplace", sddmm_alg: "default", spmv_alg: "default", spsv_alg: "default", spsm_alg: "default", spmm_alg: "default", spgemm_alg: "default", sparse_to_dense_alg: "default", dense_to_sparse_alg: "default", gtsv_interleaved_alg: "default", gpsv_interleaved_alg: "default", matrix: "csr", matrix_init_kind: "default", file: "Chevron4", algo: 0, numeric_boost: 0, boost_tol: 0.0, boost_val: 1.0, boost_vali: 0.0, tolm: 1.0, name: "csrgemm_reuse_scale_file", category: "nightly", hardware: "all", unit_check: 1, timing: 0, iters: 10, denseld: -1, batch_count: -1, batch_count_A: -1, batch_count_B: -1, batch_count_C: -1, batch_stride: -1 }
[ FAILED ] nightly/csrgemm_reuse.extra/f32_c_1_1_n1_n99_0_3_1p5_NT_NT_0b_0b_0b_0b_csr_Chevron4, where GetParam() = { function: "csrgemm_reuse", index_type_I: "i32", index_type_J: "i32", compute_type: "f32_c", transA: "NT", transB: "NT", baseA: "0b", baseB: "0b", baseC: "0b", baseD: "0b", M: 1, N: 1, K: -1, nnz: -1, block_dim: 2, row_block_dimA: 2, col_block_dimA: 2, row_block_dimB: 2, col_block_dimB: 2, dim_x: 1, dim_y: 1, dim_z: 1, ll: -2, l: -1, u: 1, uu: 2, alpha: -99.0, alphai: 0.0, beta: 3.0, betai: 1.5, threshold: 1.0, percentage: 0.0, action: "num", part: "auto", matrix_type: "general", diag: "ND", uplo: "L", storage: "sorted", analysis_policy: "reuse", solve_policy: "auto", direction: "row", order: "col", format: "coo", itilu0_alg: "async_inplace", sddmm_alg: "default", spmv_alg: "default", spsv_alg: "default", spsm_alg: "default", spmm_alg: "default", spgemm_alg: "default", sparse_to_dense_alg: "default", dense_to_sparse_alg: "default", gtsv_interleaved_alg: "default", gpsv_interleaved_alg: "default", matrix: "csr", matrix_init_kind: "default", file: "Chevron4", algo: 0, numeric_boost: 0, boost_tol: 0.0, boost_val: 1.0, boost_vali: 0.0, tolm: 1.0, name: "csrgemm_reuse_scale_file", category: "nightly", hardware: "all", unit_check: 1, timing: 0, iters: 10, denseld: -1, batch_count: -1, batch_count_A: -1, batch_count_B: -1, batch_count_C: -1, batch_stride: -1 }
[ FAILED ] nightly/csrgemm_reuse.extra/f32_c_1_1_n1_n99_0_n0p5_1_NT_NT_0b_0b_0b_0b_csr_Chevron4, where GetParam() = { function: "csrgemm_reuse", index_type_I: "i32", index_type_J: "i32", compute_type: "f32_c", transA: "NT", transB: "NT", baseA: "0b", baseB: "0b", baseC: "0b", baseD: "0b", M: 1, N: 1, K: -1, nnz: -1, block_dim: 2, row_block_dimA: 2, col_block_dimA: 2, row_block_dimB: 2, col_block_dimB: 2, dim_x: 1, dim_y: 1, dim_z: 1, ll: -2, l: -1, u: 1, uu: 2, alpha: -99.0, alphai: 0.0, beta: -0.5, betai: 1.0, threshold: 1.0, percentage: 0.0, action: "num", part: "auto", matrix_type: "general", diag: "ND", uplo: "L", storage: "sorted", analysis_policy: "reuse", solve_policy: "auto", direction: "row", order: "col", format: "coo", itilu0_alg: "async_inplace", sddmm_alg: "default", spmv_alg: "default", spsv_alg: "default", spsm_alg: "default", spmm_alg: "default", spgemm_alg: "default", sparse_to_dense_alg: "default", dense_to_sparse_alg: "default", gtsv_interleaved_alg: "default", gpsv_interleaved_alg: "default", matrix: "csr", matrix_init_kind: "default", file: "Chevron4", algo: 0, numeric_boost: 0, boost_tol: 0.0, boost_val: 1.0, boost_vali: 0.0, tolm: 1.0, name: "csrgemm_reuse_scale_file", category: "nightly", hardware: "all", unit_check: 1, timing: 0, iters: 10, denseld: -1, batch_count: -1, batch_count_A: -1, batch_count_B: -1, batch_count_C: -1, batch_stride: -1 }