Last active
July 26, 2025 16:08
-
-
Save jammm/543a12eb04c925f07d8dfac5a28e900e to your computer and use it in GitHub Desktop.
hipblaslt gfx1200 failures
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| hipBLASLt version: 100000 | |
| hipBLASLt git version: faee7ce8fe | |
| Query device success: there are 1 devices. (Target device ID is 0) | |
| Device ID 0 : AMD Radeon Graphics gfx1200 | |
| with 17.1 GB memory, max. SCLK 2740 MHz, max. MCLK 1258 MHz, compute capability 12.0 | |
| maxGridDimX 2147483647, sharedMemPerBlock 65.5 KB, maxThreadsPerBlock 1024, warpSize 32 | |
| info: parsing of test data may take a couple minutes before any test output appears... | |
| ... | |
| [----------] Global test environment tear-down | |
| [==========] 39066 tests from 11 test suites ran. (504500 ms total) | |
| [ PASSED ] 39034 tests. | |
| [ FAILED ] 32 tests, listed below: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rf8_rf8_rf8_rf32_r_NN_1_1024_512_0_1_512_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rbf8_rf8_rf8_rf32_r_NN_1_1024_512_0_1_512_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rbf8_rf8_rf8_rf32_r_NN_1_1024_512_0_1_512_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rf8_rf8_rf8_rf32_r_NN_1_1024_512_0_1_512_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rf8_rf8_rf8_rf32_r_NN_1024_1_512_0_1024_512_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rbf8_rf8_rf8_rf32_r_NN_1024_1_512_0_1024_512_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rbf8_rf8_rf8_rf32_r_NN_1024_1_512_0_1024_512_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rf8_rf8_rf8_rf32_r_NN_1024_1_512_0_1024_512_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rf8_rf8_rf8_rf32_r_NT_1_1024_512_0_1_1024_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rbf8_rf8_rf8_rf32_r_NT_1_1024_512_0_1_1024_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rbf8_rf8_rf8_rf32_r_NT_1_1024_512_0_1_1024_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rf8_rf8_rf8_rf32_r_NT_1_1024_512_0_1_1024_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rf8_rf8_rf8_rf32_r_NT_1024_1_512_0_1024_1_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rbf8_rf8_rf8_rf32_r_NT_1024_1_512_0_1024_1_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rbf8_rf8_rf8_rf32_r_NT_1024_1_512_0_1024_1_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rf8_rf8_rf8_rf32_r_NT_1024_1_512_0_1024_1_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rf8_rf8_rf8_rf32_r_TN_1_1024_512_0_512_512_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rbf8_rf8_rf8_rf32_r_TN_1_1024_512_0_512_512_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rbf8_rf8_rf8_rf32_r_TN_1_1024_512_0_512_512_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rf8_rf8_rf8_rf32_r_TN_1_1024_512_0_512_512_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rf8_rf8_rf8_rf32_r_TN_1024_1_512_0_512_512_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rbf8_rf8_rf8_rf32_r_TN_1024_1_512_0_512_512_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rbf8_rf8_rf8_rf32_r_TN_1024_1_512_0_512_512_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rf8_rf8_rf8_rf32_r_TN_1024_1_512_0_512_512_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rf8_rf8_rf8_rf32_r_TT_1_1024_512_0_512_1024_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rbf8_rf8_rf8_rf32_r_TT_1_1024_512_0_512_1024_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rbf8_rf8_rf8_rf32_r_TT_1_1024_512_0_512_1024_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rf8_rf8_rf8_rf32_r_TT_1_1024_512_0_512_1024_0_1_1_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rf8_rf8_rf8_rf32_r_TT_1024_1_512_0_512_1_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rbf8_rf8_rf8_rf32_r_TT_1024_1_512_0_512_1_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_f8_rbf8_rf8_rf8_rf32_r_TT_1024_1_512_0_512_1_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: f8_r, b_type: bf8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| [ FAILED ] _/matmul_test.matmul/quick_matmul_one_real_precisions_1b_gfx12_bf8_rf8_rf8_rf8_rf32_r_TT_1024_1_512_0_512_1_0_1024_1024_1, where GetParam() = { function: "matmul", name: "matmul_one_real_precisions_1b_gfx12", category: "quick", known_bug_platforms: "", alpha: 0, beta: 0, stride_a: 0x615ec0af36f8, stride_b: 0x615ec0af37f8, stride_c: 0x615ec0af38f8, stride_d: 0x615ec0af39f8, stride_e: 0x615ec0af3af8, user_allocated_workspace: 134217728, M: 0x615ec0af3c00, N: 0x615ec0af3d00, K: 0x615ec0af3e00, lda: 0x615ec0af3f00, ldb: 0x615ec0af4000, ldc: 0x615ec0af4100, ldd: 0x615ec0af4200, lde: 0x615ec0af4300, batch_count: 1, iters: 10, cold_iters: 2, algo: 0, solution_index: -1, requested_solution_num: 1, a_type: bf8_r, b_type: f8_r, c_type: f8_r, d_type: f8_r, compute_type: f32_r, compute_input_typeA: non-supported type, compute_input_typeB: non-supported type, scale_type: f32_r, initialization: "rand_int", gpu_arch: "120[0-1]", pad: 4096, grouped_gemm: 0, threads: 0, streams: 0, devices: | |
| 32 FAILED TESTS | |
| hipBLASLt version: 100000 | |
| hipBLASLt git version: faee7ce8fe | |
| command line: hipblaslt-test |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment