vulkan/cpu: Support f16 as SET_ROWS src. (#25432)
* vulkan/cpu: Support f16 as SET_ROWS src. This adds full support for f16 SET_ROWS (equivalent to f32) to vulkan and CPU backends, and adds more backend tests. * Set DenormPreserve 16 when supported, to try to fix failures on Intel * tune error threshold * update metal supports_op
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+17
-13
@@ -2423,11 +2423,10 @@ struct test_set_rows : public test_case {
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void initialize_tensors(ggml_context * ctx) override {
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for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) {
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if (ggml_is_view_op(t->op)) {
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continue;
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}
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if (t->type == GGML_TYPE_I64 || t->type == GGML_TYPE_I32) {
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if (ggml_is_view_op(t->op)) {
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continue;
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}
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init_set_rows_row_ids(t, ne[1]);
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} else {
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init_tensor_uniform(t);
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@@ -2450,6 +2449,9 @@ struct test_set_rows : public test_case {
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err_estimate /= 8.0f;
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}
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err_estimate *= err_estimate;
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if (type_src == GGML_TYPE_F16) {
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err_estimate *= 16.0f;
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}
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err_estimate /= 0.25f*float(ne[0] * r * ne[2]*nr23[0] * ne[3]*nr23[1]);
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return err_estimate;
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}
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@@ -7928,17 +7930,19 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
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test_cases.emplace_back(new test_set_rows(GGML_TYPE_F32, GGML_TYPE_F32, GGML_TYPE_I64, { 1, 8, 1, 3 }, { 1, 1 }, 2, false));
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test_cases.emplace_back(new test_set_rows(GGML_TYPE_F32, GGML_TYPE_F32, GGML_TYPE_I32, { 1, 8, 1, 3 }, { 1, 1 }, 2, false));
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test_cases.emplace_back(new test_set_rows(GGML_TYPE_F32, GGML_TYPE_Q8_0, GGML_TYPE_I32, { 256, 5, 1, 3 }, { 1, 1, }, 1, false));
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for (ggml_type type : all_types) {
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for (int b : {1, 7}) {
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for (bool v : {false, true}) {
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test_cases.emplace_back(new test_set_rows(GGML_TYPE_F32, type, GGML_TYPE_I64, { 256, 5, b, 3 }, { 1, 1, }, 1, v));
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test_cases.emplace_back(new test_set_rows(GGML_TYPE_F32, type, GGML_TYPE_I64, { 256, 11, 1, b }, { 2, 3, }, 7, v));
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for (ggml_type src_type : {GGML_TYPE_F16, GGML_TYPE_F32}) {
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for (ggml_type type : all_types) {
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for (int b : {1, 7}) {
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for (bool v : {false, true}) {
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test_cases.emplace_back(new test_set_rows(src_type, type, GGML_TYPE_I64, { 256, 5, b, 3 }, { 1, 1, }, 1, v));
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test_cases.emplace_back(new test_set_rows(src_type, type, GGML_TYPE_I64, { 256, 11, 1, b }, { 2, 3, }, 7, v));
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test_cases.emplace_back(new test_set_rows(GGML_TYPE_F32, type, GGML_TYPE_I64, { 3*ggml_blck_size(type), 3, b, 1 }, { 2, 3, }, 2, v));
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test_cases.emplace_back(new test_set_rows(src_type, type, GGML_TYPE_I64, { 3*ggml_blck_size(type), 3, b, 1 }, { 2, 3, }, 2, v));
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if (ggml_blck_size(type) == 1) {
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test_cases.emplace_back(new test_set_rows(GGML_TYPE_F32, type, GGML_TYPE_I64, { 31, 3, b, 1 }, { 2, 3, }, 2, v));
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test_cases.emplace_back(new test_set_rows(GGML_TYPE_F32, type, GGML_TYPE_I64, { 33, 5, 1, b }, { 2, 3, }, 1, v));
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if (ggml_blck_size(type) == 1) {
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test_cases.emplace_back(new test_set_rows(src_type, type, GGML_TYPE_I64, { 31, 3, b, 1 }, { 2, 3, }, 2, v));
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test_cases.emplace_back(new test_set_rows(src_type, type, GGML_TYPE_I64, { 33, 5, 1, b }, { 2, 3, }, 1, v));
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}
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}
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}
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}
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