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nixpkgs/pkgs/development/cuda-modules/packages/cudnn-frontend/0004-samples-fix-instances-of-maybe-uninitialized.patch
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From 4ce40a0c3de0e8a7065caf1cf59a90493e084682 Mon Sep 17 00:00:00 2001
From: Connor Baker <ConnorBaker01@gmail.com>
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<half> w_tensor(64 * 32 * 3 * 3, false);
Surface<half> 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<int8_t> workspace(workspace_size, false);
@@ -122,7 +122,7 @@ TEST_CASE("Dgrad Drelu Graph", "[dgrad][graph]") {
Surface<half> x_tensor(4 * 32 * 16 * 16, false);
Surface<half> 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<int8_t> workspace(workspace_size, false);
@@ -234,7 +234,7 @@ TEST_CASE("Dgrad Drelu DBNweight Graph", "[dgrad][graph]") {
Surface<float> eq_scale_x_tensor(1 * 32 * 1 * 1, false);
Surface<float> 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<int8_t> 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<float> Y_scale_gpu(1, false);
Surface<float> amax_gpu(1, false);
- int64_t workspace_size;
+ int64_t workspace_size = 0;
REQUIRE(graph->get_workspace_size(workspace_size).is_good());
Surface<int8_t> 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<int64_t, void *> 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<int8_t> workspace(workspace_size, false);
@@ -303,7 +303,7 @@ TEST_CASE("CSBR Graph", "[conv][graph][caching]") {
Surface<half> b_tensor(k, false);
Surface<half> 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<int8_t> 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<int8_t> workspace(workspace_size, false);
@@ -651,7 +651,7 @@ TEST_CASE("CBR Graph NCHW", "[conv][graph][caching]") {
Surface<half> y_tensor(n * k * h * w, false); // Should be p, q.
Surface<half> 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<int8_t> workspace(workspace_size, false);
@@ -734,7 +734,7 @@ TEST_CASE("Convolution fprop large", "[conv][graph][caching]") {
std::unordered_map<int64_t, void *> 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<int8_t> 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<std::shared_ptr<fe::graph::Tensor_attributes>, 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<int8_t> 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<half> dy_tensor(4 * 64 * 16 * 16, false);
Surface<half> 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<int8_t> workspace(workspace_size, false);
@@ -137,7 +137,7 @@ TEST_CASE("scale-bias-relu-wgrad Graph", "[wgrad][graph][scale-bias-relu-wgrad][
Surface<half> dy_tensor(4 * 64 * 16 * 16, false);
Surface<half> 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<int8_t> 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<float> 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<int8_t> 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<float> C_gpu(b * m * n, false);
Surface<float> 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<int8_t> 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<float> 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<int8_t> workspace(workspace_size, false);
@@ -319,7 +319,7 @@ TEST_CASE("Abs + Matmul", "[matmul][graph]") {
// Run cudnn graph
Surface<float> 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<int8_t> 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<int8_t> workspace(workspace_size, false);
@@ -606,7 +606,7 @@ TEST_CASE("Matmul with restricted shared memory", "[matmul][graph]") {
// Run cudnn graph
Surface<float> 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<int8_t> 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<half> 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<int8_t> 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<float> C_gpu(n * n * n * n, false);
std::unordered_map<std::shared_ptr<fe::graph::Tensor_attributes>, 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<int8_t> workspace(workspace_size, false);
@@ -88,7 +88,7 @@ TEST_CASE("Fused scalar", "[scalar][graph]") {
std::unordered_map<std::shared_ptr<fe::graph::Tensor_attributes>, 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<int8_t> workspace(workspace_size, false);
@@ -148,7 +148,7 @@ TEST_CASE("Fused Amax Reduction and type conversion", "[reduction]") {
std::unordered_map<std::shared_ptr<fe::graph::Tensor_attributes>, 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<int8_t> 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<half> Y_gpu(N * H * W * C, false);
std::unordered_map<std::shared_ptr<fe::graph::Tensor_attributes>, 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<int8_t> workspace(workspace_size, false);
@@ -132,7 +132,7 @@ TEST_CASE("Resample Max Pooling NHWC Training", "[resample][pooling][max][graph]
Surface<int8_t> Index_gpu(N * H * W * C / 8, false);
std::unordered_map<std::shared_ptr<fe::graph::Tensor_attributes>, 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<int8_t> workspace(workspace_size, false);
@@ -186,7 +186,7 @@ TEST_CASE("Resample Avg Pooling", "[resample][pooling][average][graph]") {
Surface<half> Y_gpu(N * H * W * C, false);
std::unordered_map<std::shared_ptr<fe::graph::Tensor_attributes>, 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<int8_t> 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<half> b_device_memory(k, false);
Surface<half> 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<int8_t> workspace(workspace_size, false);
@@ -401,7 +401,7 @@ TEST_CASE("SDPA Graph with serialization", "[sdpa][graph][serialization]") {
Surface<int32_t> dropoutSeed(scaleSize, false, seed_value);
Surface<int32_t> 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<int8_t> 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<half> C_gpu(B * M * N, false);
std::unordered_map<int64_t, void *> 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<int8_t> 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<float> Peer_stats_0_tensor(2 * 4 * c, false, true);
Surface<float> 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<int8_t> 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<float> eq_scale_tensor(32, false);
Surface<float> eq_bias_tensor(32, false);
- int64_t workspace_size;
+ int64_t workspace_size = 0;
REQUIRE(graph.get_workspace_size(workspace_size).is_good());
Surface<int8_t> workspace(workspace_size, false);
@@ -226,7 +226,7 @@ TEST_CASE("SGBN Add Relu Graph", "[batchnorm][graph]") {
Surface<float> Peer_stats_0_tensor(2 * 4 * 32, false, true);
Surface<float> 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<int8_t> workspace(workspace_size, false);
@@ -346,7 +346,7 @@ TEST_CASE("DBN Add Relu Graph", "[BN][graph][backward]") {
Surface<float> Peer_stats_0_tensor(2 * 4 * 32, false, true);
Surface<float> 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<int8_t> workspace(workspace_size, false);
@@ -454,7 +454,7 @@ TEST_CASE("BN_inference DRelu DBN Graph", "[Batchnorm][graph][backward]") {
Surface<float> Dbias_tensor(32, false);
Surface<half> 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<int8_t> 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<float> Mean_tensor(max_stats_volume, false);
Surface<float> 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<int8_t> workspace(workspace_size, false);
@@ -232,7 +232,7 @@ TEST_CASE("LayerNorm Training", "[layernorm][graph]") {
Surface<float> Bias_tensor(hidden_size, false);
Surface<half> 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<int8_t> workspace(workspace_size, false);
@@ -310,7 +310,7 @@ TEST_CASE("LayerNorm Inference", "[layernorm][graph]") {
Surface<float> Bias_tensor(hidden_size, false);
Surface<half> 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<int8_t> workspace(workspace_size, false);
@@ -392,7 +392,7 @@ TEST_CASE("LayerNorm Backward", "[layernorm][graph]") {
Surface<float> Dbias_tensor(hidden_size, false);
Surface<half> 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<int8_t> 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<float> Scale_tensor(hidden_size, false);
Surface<float> 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<int8_t> workspace(workspace_size, false);
@@ -150,7 +150,7 @@ TEST_CASE("RmsNorm Inference", "[rmsnorm][graph]") {
Surface<float> Bias_tensor(hidden_size, false);
Surface<float> 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<int8_t> workspace(workspace_size, false);
@@ -227,7 +227,7 @@ TEST_CASE("RmsNorm Backward", "[rmsnorm][graph]") {
Surface<float> Dbias_tensor(hidden_size, false);
Surface<float> 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<int8_t> 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<int8_t> 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<int8_t> 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<int8_t> 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<int8_t> 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<int8_t> 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<int8_t> 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<int8_t> 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<int8_t> 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<int8_t> 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<int8_t> workspace(workspace_size, false);
--
2.47.0
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