From 4ce40a0c3de0e8a7065caf1cf59a90493e084682 Mon Sep 17 00:00:00 2001 From: Connor Baker Date: Sat, 18 Jan 2025 22:22:21 +0000 Subject: [PATCH 4/4] samples: fix instances of maybe-uninitialized --- samples/cpp/convolution/dgrads.cpp | 6 +++--- samples/cpp/convolution/fp8_fprop.cpp | 2 +- samples/cpp/convolution/fprop.cpp | 10 +++++----- samples/cpp/convolution/int8_fprop.cpp | 2 +- samples/cpp/convolution/wgrads.cpp | 4 ++-- samples/cpp/matmul/fp8_matmul.cpp | 2 +- samples/cpp/matmul/int8_matmul.cpp | 2 +- samples/cpp/matmul/matmuls.cpp | 8 ++++---- samples/cpp/matmul/mixed_matmul.cpp | 2 +- samples/cpp/misc/pointwise.cpp | 6 +++--- samples/cpp/misc/resample.cpp | 6 +++--- samples/cpp/misc/serialization.cpp | 4 ++-- samples/cpp/misc/slice.cpp | 2 +- samples/cpp/misc/sm_carveout.cpp | 2 +- samples/cpp/norm/batchnorm.cpp | 8 ++++---- samples/cpp/norm/layernorm.cpp | 8 ++++---- samples/cpp/norm/rmsnorm.cpp | 6 +++--- samples/cpp/sdpa/fp16_bwd.cpp | 2 +- samples/cpp/sdpa/fp16_bwd_with_flexible_graphs.cpp | 2 +- samples/cpp/sdpa/fp16_cached.cpp | 2 +- samples/cpp/sdpa/fp16_fwd.cpp | 2 +- samples/cpp/sdpa/fp16_fwd_with_custom_dropout.cpp | 2 +- samples/cpp/sdpa/fp16_fwd_with_flexible_graphs.cpp | 2 +- samples/cpp/sdpa/fp16_fwd_with_paged_caches.cpp | 2 +- samples/cpp/sdpa/fp8_bwd.cpp | 4 ++-- samples/cpp/sdpa/fp8_fwd.cpp | 2 +- 26 files changed, 50 insertions(+), 50 deletions(-) diff --git a/samples/cpp/convolution/dgrads.cpp b/samples/cpp/convolution/dgrads.cpp index 589cb5f..f66abf4 100644 --- a/samples/cpp/convolution/dgrads.cpp +++ b/samples/cpp/convolution/dgrads.cpp @@ -65,7 +65,7 @@ TEST_CASE("Convolution Dgrad", "[dgrad][graph]") { Surface w_tensor(64 * 32 * 3 * 3, false); Surface dx_tensor(4 * 32 * 16 * 16, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -122,7 +122,7 @@ TEST_CASE("Dgrad Drelu Graph", "[dgrad][graph]") { Surface x_tensor(4 * 32 * 16 * 16, false); Surface dx_tensor(4 * 32 * 16 * 16, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -234,7 +234,7 @@ TEST_CASE("Dgrad Drelu DBNweight Graph", "[dgrad][graph]") { Surface eq_scale_x_tensor(1 * 32 * 1 * 1, false); Surface eq_bias_tensor(1 * 32 * 1 * 1, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/convolution/fp8_fprop.cpp b/samples/cpp/convolution/fp8_fprop.cpp index dfcb7e2..8246ce4 100644 --- a/samples/cpp/convolution/fp8_fprop.cpp +++ b/samples/cpp/convolution/fp8_fprop.cpp @@ -116,7 +116,7 @@ TEST_CASE("Convolution fp8 precision", "[conv][graph]") { Surface Y_scale_gpu(1, false); Surface amax_gpu(1, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/convolution/fprop.cpp b/samples/cpp/convolution/fprop.cpp index bc1aaf0..d61fa4e 100644 --- a/samples/cpp/convolution/fprop.cpp +++ b/samples/cpp/convolution/fprop.cpp @@ -80,7 +80,7 @@ TEST_CASE("Convolution fprop", "[conv][graph][caching]") { std::unordered_map variant_pack = { {X->get_uid(), x_tensor.devPtr}, {W->get_uid(), w_tensor.devPtr}, {Y->get_uid(), y_tensor.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -303,7 +303,7 @@ TEST_CASE("CSBR Graph", "[conv][graph][caching]") { Surface b_tensor(k, false); Surface y_tensor(n * k * h * w, false); // Should be p, q. - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -550,7 +550,7 @@ TEST_CASE("SBRCS", "[conv][genstats][graph]") { {SUM, sum_tensor.devPtr}, {SQ_SUM, sq_sum_tensor.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -651,7 +651,7 @@ TEST_CASE("CBR Graph NCHW", "[conv][graph][caching]") { Surface y_tensor(n * k * h * w, false); // Should be p, q. Surface z_tensor(n * k * h * w, false); // Should be p, q. - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -734,7 +734,7 @@ TEST_CASE("Convolution fprop large", "[conv][graph][caching]") { std::unordered_map variant_pack = { {X->get_uid(), x_tensor.devPtr}, {W->get_uid(), w_tensor.devPtr}, {Y->get_uid(), y_tensor.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/convolution/int8_fprop.cpp b/samples/cpp/convolution/int8_fprop.cpp index 3d5ac2f..e9248f5 100644 --- a/samples/cpp/convolution/int8_fprop.cpp +++ b/samples/cpp/convolution/int8_fprop.cpp @@ -94,7 +94,7 @@ TEST_CASE("Conv with Int8 datatypes", "[conv][graph][caching]") { std::unordered_map, void*> variant_pack = { {X, x_tensor.devPtr}, {W, w_tensor.devPtr}, {Y, y_tensor.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/convolution/wgrads.cpp b/samples/cpp/convolution/wgrads.cpp index 2c58b26..26887dc 100644 --- a/samples/cpp/convolution/wgrads.cpp +++ b/samples/cpp/convolution/wgrads.cpp @@ -64,7 +64,7 @@ TEST_CASE("Convolution Wgrad", "[wgrad][graph][wgrad][Conv_wgrad]") { Surface dy_tensor(4 * 64 * 16 * 16, false); Surface dw_tensor(64 * 64 * 3 * 3, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -137,7 +137,7 @@ TEST_CASE("scale-bias-relu-wgrad Graph", "[wgrad][graph][scale-bias-relu-wgrad][ Surface dy_tensor(4 * 64 * 16 * 16, false); Surface dw_tensor(64 * 64 * 3 * 3, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/matmul/fp8_matmul.cpp b/samples/cpp/matmul/fp8_matmul.cpp index c6470cd..f32c627 100644 --- a/samples/cpp/matmul/fp8_matmul.cpp +++ b/samples/cpp/matmul/fp8_matmul.cpp @@ -115,7 +115,7 @@ TEST_CASE("Matmul fp8 precision", "[matmul][graph]") { REQUIRE(graph.build_plans(handle, fe::BuildPlanPolicy_t::HEURISTICS_CHOICE).is_good()); Surface C_gpu(b * m * n, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/matmul/int8_matmul.cpp b/samples/cpp/matmul/int8_matmul.cpp index cf4353a..cb3ce34 100644 --- a/samples/cpp/matmul/int8_matmul.cpp +++ b/samples/cpp/matmul/int8_matmul.cpp @@ -104,7 +104,7 @@ TEST_CASE("Int8 Matmul", "[matmul][graph]") { // note this is a bf16 tensor, but half is used just for memory allocation Surface C_gpu(b * m * n, false); Surface Bias_gpu(b * m * n, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/matmul/matmuls.cpp b/samples/cpp/matmul/matmuls.cpp index ed0f10b..5c95713 100644 --- a/samples/cpp/matmul/matmuls.cpp +++ b/samples/cpp/matmul/matmuls.cpp @@ -250,7 +250,7 @@ TEST_CASE("Matmul", "[matmul][graph]") { // Run cudnn graph Surface C_gpu(b * m * n, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -319,7 +319,7 @@ TEST_CASE("Abs + Matmul", "[matmul][graph]") { // Run cudnn graph Surface C_gpu(b * m * n, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -539,7 +539,7 @@ TEST_CASE("Matmul SBR Graph", "[matmul][graph]") { auto [graph, A, B, bias, scale, O] = lookup_cache_or_build_graph( handle, x_tensor.devPtr, w_tensor.devPtr, s_tensor.devPtr, b_tensor.devPtr, y_tensor.devPtr); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -606,7 +606,7 @@ TEST_CASE("Matmul with restricted shared memory", "[matmul][graph]") { // Run cudnn graph Surface C_gpu(b * m * n, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/matmul/mixed_matmul.cpp b/samples/cpp/matmul/mixed_matmul.cpp index ab3e195..a2b05bd 100644 --- a/samples/cpp/matmul/mixed_matmul.cpp +++ b/samples/cpp/matmul/mixed_matmul.cpp @@ -96,7 +96,7 @@ TEST_CASE("Mixed Precision Matmul", "[matmul][graph]") { //// Run cudnn graph // note this is a bf16 tensor, but half is used just for memory allocation Surface C_gpu(b * m * n, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/misc/pointwise.cpp b/samples/cpp/misc/pointwise.cpp index 8f8d699..e8f4cb1 100644 --- a/samples/cpp/misc/pointwise.cpp +++ b/samples/cpp/misc/pointwise.cpp @@ -51,7 +51,7 @@ TEST_CASE("Reduction", "[reduction]") { Surface C_gpu(n * n * n * n, false); std::unordered_map, void*> variant_pack = {{A, A_gpu.devPtr}, {C, C_gpu.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -88,7 +88,7 @@ TEST_CASE("Fused scalar", "[scalar][graph]") { std::unordered_map, void*> variant_pack = {{A, A_gpu.devPtr}, {C, C_gpu.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -148,7 +148,7 @@ TEST_CASE("Fused Amax Reduction and type conversion", "[reduction]") { std::unordered_map, void*> variant_pack = { {A, A_gpu.devPtr}, {scale, scale_gpu.devPtr}, {amax, amax_gpu.devPtr}, {C, C_gpu.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/misc/resample.cpp b/samples/cpp/misc/resample.cpp index 3f782e7..21998c3 100644 --- a/samples/cpp/misc/resample.cpp +++ b/samples/cpp/misc/resample.cpp @@ -69,7 +69,7 @@ TEST_CASE("Resample Max Pooling NHWC Inference", "[resample][pooling][max][graph Surface Y_gpu(N * H * W * C, false); std::unordered_map, void*> variant_pack = {{X, X_gpu.devPtr}, {Y, Y_gpu.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -132,7 +132,7 @@ TEST_CASE("Resample Max Pooling NHWC Training", "[resample][pooling][max][graph] Surface Index_gpu(N * H * W * C / 8, false); std::unordered_map, void*> variant_pack = { {X, X_gpu.devPtr}, {Y, Y_gpu.devPtr}, {Index, Index_gpu.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -186,7 +186,7 @@ TEST_CASE("Resample Avg Pooling", "[resample][pooling][average][graph]") { Surface Y_gpu(N * H * W * C, false); std::unordered_map, void*> variant_pack = {{X, X_gpu.devPtr}, {Y, Y_gpu.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/misc/serialization.cpp b/samples/cpp/misc/serialization.cpp index a130406..278bad8 100644 --- a/samples/cpp/misc/serialization.cpp +++ b/samples/cpp/misc/serialization.cpp @@ -178,7 +178,7 @@ TEST_CASE("CSBR Graph with serialization", "[conv][graph][serialization]") { Surface b_device_memory(k, false); Surface y_device_memory(n * k * h * w, false); // Should be p, q. - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -401,7 +401,7 @@ TEST_CASE("SDPA Graph with serialization", "[sdpa][graph][serialization]") { Surface dropoutSeed(scaleSize, false, seed_value); Surface dropoutOffset(scaleSize, false, (int32_t)1); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/misc/slice.cpp b/samples/cpp/misc/slice.cpp index 087ba36..78962c6 100644 --- a/samples/cpp/misc/slice.cpp +++ b/samples/cpp/misc/slice.cpp @@ -80,7 +80,7 @@ TEST_CASE("Slice gemm", "[slice][gemm][graph][fusion]") { Surface C_gpu(B * M * N, false); std::unordered_map variant_pack = { {a_uid, A_gpu.devPtr}, {b_uid, B_gpu.devPtr}, {c_uid, C_gpu.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/misc/sm_carveout.cpp b/samples/cpp/misc/sm_carveout.cpp index d6818c0..b0e0651 100644 --- a/samples/cpp/misc/sm_carveout.cpp +++ b/samples/cpp/misc/sm_carveout.cpp @@ -121,7 +121,7 @@ TEST_CASE("SGBN with SM carveout", "[batchnorm][graph][sm_carveout]") { Surface Peer_stats_0_tensor(2 * 4 * c, false, true); Surface Peer_stats_1_tensor(2 * 4 * c, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/norm/batchnorm.cpp b/samples/cpp/norm/batchnorm.cpp index 5949365..a91a9bd 100644 --- a/samples/cpp/norm/batchnorm.cpp +++ b/samples/cpp/norm/batchnorm.cpp @@ -96,7 +96,7 @@ TEST_CASE("BN Finalize Graph", "[batchnorm][graph]") { Surface eq_scale_tensor(32, false); Surface eq_bias_tensor(32, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -226,7 +226,7 @@ TEST_CASE("SGBN Add Relu Graph", "[batchnorm][graph]") { Surface Peer_stats_0_tensor(2 * 4 * 32, false, true); Surface Peer_stats_1_tensor(2 * 4 * 32, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -346,7 +346,7 @@ TEST_CASE("DBN Add Relu Graph", "[BN][graph][backward]") { Surface Peer_stats_0_tensor(2 * 4 * 32, false, true); Surface Peer_stats_1_tensor(2 * 4 * 32, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -454,7 +454,7 @@ TEST_CASE("BN_inference DRelu DBN Graph", "[Batchnorm][graph][backward]") { Surface Dbias_tensor(32, false); Surface DX_tensor(4 * 32 * 16 * 16, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/norm/layernorm.cpp b/samples/cpp/norm/layernorm.cpp index bac996f..7f69f34 100644 --- a/samples/cpp/norm/layernorm.cpp +++ b/samples/cpp/norm/layernorm.cpp @@ -133,7 +133,7 @@ layernorm_fwd_dynamic_shapes(bool train = true) { Surface Mean_tensor(max_stats_volume, false); Surface Var_tensor(max_stats_volume, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -232,7 +232,7 @@ TEST_CASE("LayerNorm Training", "[layernorm][graph]") { Surface Bias_tensor(hidden_size, false); Surface Y_tensor(batch_size * seq_length * hidden_size, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -310,7 +310,7 @@ TEST_CASE("LayerNorm Inference", "[layernorm][graph]") { Surface Bias_tensor(hidden_size, false); Surface Y_tensor(batch_size * seq_length * hidden_size, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -392,7 +392,7 @@ TEST_CASE("LayerNorm Backward", "[layernorm][graph]") { Surface Dbias_tensor(hidden_size, false); Surface DX_tensor(batch_size * seq_length * hidden_size, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/norm/rmsnorm.cpp b/samples/cpp/norm/rmsnorm.cpp index 878086c..d5c919b 100644 --- a/samples/cpp/norm/rmsnorm.cpp +++ b/samples/cpp/norm/rmsnorm.cpp @@ -78,7 +78,7 @@ TEST_CASE("RmsNorm Training", "[rmsnorm][graph]") { Surface Scale_tensor(hidden_size, false); Surface Y_tensor(batch_size * seq_length * hidden_size, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -150,7 +150,7 @@ TEST_CASE("RmsNorm Inference", "[rmsnorm][graph]") { Surface Bias_tensor(hidden_size, false); Surface Y_tensor(batch_size * seq_length * hidden_size, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -227,7 +227,7 @@ TEST_CASE("RmsNorm Backward", "[rmsnorm][graph]") { Surface Dbias_tensor(hidden_size, false); Surface DX_tensor(batch_size * seq_length * hidden_size, false); - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/sdpa/fp16_bwd.cpp b/samples/cpp/sdpa/fp16_bwd.cpp index 749cbed..1145008 100644 --- a/samples/cpp/sdpa/fp16_bwd.cpp +++ b/samples/cpp/sdpa/fp16_bwd.cpp @@ -275,7 +275,7 @@ TEST_CASE("Toy sdpa backward", "[graph][sdpa][flash][backward]") { } // Allocate workspace - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/sdpa/fp16_bwd_with_flexible_graphs.cpp b/samples/cpp/sdpa/fp16_bwd_with_flexible_graphs.cpp index 62d6bb3..50205c3 100644 --- a/samples/cpp/sdpa/fp16_bwd_with_flexible_graphs.cpp +++ b/samples/cpp/sdpa/fp16_bwd_with_flexible_graphs.cpp @@ -195,7 +195,7 @@ TEST_CASE("Toy sdpa backward with flexible graph", "[graph][sdpa][flash][backwar {DV_UID, dV_tensor.devPtr}}; // Allocate workspace - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/sdpa/fp16_cached.cpp b/samples/cpp/sdpa/fp16_cached.cpp index d046271..4f0d3f8 100644 --- a/samples/cpp/sdpa/fp16_cached.cpp +++ b/samples/cpp/sdpa/fp16_cached.cpp @@ -146,7 +146,7 @@ TEST_CASE("Cached sdpa", "[graph][sdpa][flash]") { {O_UID, o_tensor.devPtr}, {STATS_UID, stats_tensor.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(fwd_graph2->get_workspace_size(workspace_size).is_good()); Surface fwd_workspace(workspace_size, false); diff --git a/samples/cpp/sdpa/fp16_fwd.cpp b/samples/cpp/sdpa/fp16_fwd.cpp index b3acf5e..63697a1 100644 --- a/samples/cpp/sdpa/fp16_fwd.cpp +++ b/samples/cpp/sdpa/fp16_fwd.cpp @@ -210,7 +210,7 @@ TEST_CASE("Toy sdpa forward", "[graph][sdpa][flash][forward]") { variant_pack[STATS_UID] = statsTensor.devPtr; } - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/sdpa/fp16_fwd_with_custom_dropout.cpp b/samples/cpp/sdpa/fp16_fwd_with_custom_dropout.cpp index 36cfba4..0cb9d2f 100644 --- a/samples/cpp/sdpa/fp16_fwd_with_custom_dropout.cpp +++ b/samples/cpp/sdpa/fp16_fwd_with_custom_dropout.cpp @@ -178,7 +178,7 @@ TEST_CASE("Toy sdpa forward with dropout", "[graph][sdpa][flash][forward]") { variant_pack[STATS_UID] = statsTensor.devPtr; } - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/sdpa/fp16_fwd_with_flexible_graphs.cpp b/samples/cpp/sdpa/fp16_fwd_with_flexible_graphs.cpp index 810de63..7d81afe 100644 --- a/samples/cpp/sdpa/fp16_fwd_with_flexible_graphs.cpp +++ b/samples/cpp/sdpa/fp16_fwd_with_flexible_graphs.cpp @@ -186,7 +186,7 @@ TEST_CASE("Toy sdpa forward with flexible graph", "[graph][sdpa][flash][forward] variant_pack[STATS_UID] = statsTensor.devPtr; } - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/sdpa/fp16_fwd_with_paged_caches.cpp b/samples/cpp/sdpa/fp16_fwd_with_paged_caches.cpp index 18dd937..d195f6b 100644 --- a/samples/cpp/sdpa/fp16_fwd_with_paged_caches.cpp +++ b/samples/cpp/sdpa/fp16_fwd_with_paged_caches.cpp @@ -268,7 +268,7 @@ TEST_CASE("Toy sdpa forward with paged caches", "[graph][sdpa][flash][paged][for variant_pack[STATS_UID] = statsTensor.devPtr; } - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(graph->get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/sdpa/fp8_bwd.cpp b/samples/cpp/sdpa/fp8_bwd.cpp index 82e542b..296f2f9 100644 --- a/samples/cpp/sdpa/fp8_bwd.cpp +++ b/samples/cpp/sdpa/fp8_bwd.cpp @@ -214,7 +214,7 @@ TEST_CASE("sdpa_fp8_bprop", "[graph][sdpa][fp8][backward]") { {Amax_dV, AMax_dV_Tensor.devPtr}, {Amax_dP, AMax_dP_Tensor.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(mha_graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); @@ -385,7 +385,7 @@ TEST_CASE("sdpa_fp8_gqa_bprop", "[graph][sdpa][fp8][backward]") { {amax_dV, amax_dV_gpu.devPtr}, {amax_dP, amax_dP_gpu.devPtr}}; - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(mha_graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); diff --git a/samples/cpp/sdpa/fp8_fwd.cpp b/samples/cpp/sdpa/fp8_fwd.cpp index 6ede98d..23abc3f 100644 --- a/samples/cpp/sdpa/fp8_fwd.cpp +++ b/samples/cpp/sdpa/fp8_fwd.cpp @@ -146,7 +146,7 @@ TEST_CASE("sdpa_fp8_fprop", "[graph][sdpa][fp8][forward]") { variant_pack[Stats] = stats_tensor.devPtr; } - int64_t workspace_size; + int64_t workspace_size = 0; REQUIRE(mha_graph.get_workspace_size(workspace_size).is_good()); Surface workspace(workspace_size, false); -- 2.47.0