Mesh Virtualization

conftest.py

@@ -207,9 +207,7 @@ def mesh_device(request, silicon_arch_name, silicon_arch_wormhole_b0, device_par
 
     request.node.pci_ids = [ttnn.GetPCIeDeviceID(i) for i in device_ids[:num_devices_requested]]
 
-    mesh_device = ttnn.open_mesh_device(
-        mesh_shape, device_ids[:num_devices_requested], dispatch_core_type=get_dispatch_core_type(), **device_params
-    )
+    mesh_device = ttnn.open_mesh_device(mesh_shape, dispatch_core_type=get_dispatch_core_type(), **device_params)
 
     logger.debug(f"multidevice with {mesh_device.get_num_devices()} devices is created")
     yield mesh_device
@@ -235,9 +233,9 @@ def pcie_mesh_device(request, silicon_arch_name, silicon_arch_wormhole_b0, devic
 
     mesh_device = ttnn.open_mesh_device(
         ttnn.MeshShape(1, num_pcie_devices_requested),
-        device_ids[:num_pcie_devices_requested],
         dispatch_core_type=get_dispatch_core_type(),
         **device_params,
+        physical_device_ids=device_ids[:num_pcie_devices_requested],
     )
 
     logger.debug(f"multidevice with {mesh_device.get_num_devices()} devices is created")
@@ -256,17 +254,9 @@ def t3k_mesh_device(request, silicon_arch_name, silicon_arch_wormhole_b0, device
 
     if ttnn.get_num_devices() < 8:
         pytest.skip()
-    device_ids = [0, 4, 5, 1, 2, 6, 7, 3]
-    try:
-        num_devices_requested = min(request.param, len(device_ids))
-    except (ValueError, AttributeError):
-        num_devices_requested = len(device_ids)
-
-    request.node.pci_ids = [ttnn.GetPCIeDeviceID(i) for i in device_ids[:num_devices_requested]]
 
     mesh_device = ttnn.open_mesh_device(
-        ttnn.MeshShape(1, num_devices_requested),
-        device_ids[:num_devices_requested],
+        ttnn.MeshShape(2, 4),
         dispatch_core_type=get_dispatch_core_type(),
         **device_params,
     )

models/demos/t3000/llama2_70b/tests/test_llama_generation.py

@@ -147,7 +147,7 @@ def test_LlamaModel_inference(
     if t3k_mesh_device.get_num_devices() < n_devices and not emulated:
         pytest.skip(f"Requires at {n_devices} devices to run")
 
-    compute_grid_size = t3k_mesh_device.get_device(0).compute_with_storage_grid_size()
+    compute_grid_size = t3k_mesh_device.compute_with_storage_grid_size()
     if compute_grid_size.x < model_config["MAX_GRID_SIZE"][0] or compute_grid_size.y < model_config["MAX_GRID_SIZE"][1]:
         pytest.skip(f"Requires grid size of at least {model_config['MAX_GRID_SIZE']} to run")
 

models/demos/t3000/llama2_70b/tests/test_llama_perf.py

@@ -316,7 +316,7 @@ def test_Llama_perf_host(
     if t3k_mesh_device.get_num_devices() < n_devices and not emulated:
         pytest.skip(f"Requires at {n_devices} devices to run")
 
-    compute_grid_size = t3k_mesh_device.get_device(0).compute_with_storage_grid_size()
+    compute_grid_size = t3k_mesh_device.compute_with_storage_grid_size()
     if compute_grid_size.x < model_config["MAX_GRID_SIZE"][0] or compute_grid_size.y < model_config["MAX_GRID_SIZE"][1]:
         pytest.skip(f"Requires grid size of at least {model_config['MAX_GRID_SIZE']} to run")
 

models/demos/t3000/llama2_70b/tests/test_llama_stress_test.py

@@ -145,7 +145,7 @@ def test_Llama_stress_test(
     if t3k_mesh_device.get_num_devices() < n_devices and not emulated:
         pytest.skip(f"Requires at {n_devices} devices to run")
 
-    compute_grid_size = t3k_mesh_device.get_device(0).compute_with_storage_grid_size()
+    compute_grid_size = t3k_mesh_device.compute_with_storage_grid_size()
     if compute_grid_size.x < model_config["MAX_GRID_SIZE"][0] or compute_grid_size.y < model_config["MAX_GRID_SIZE"][1]:
         pytest.skip(f"Requires grid size of at least {model_config['MAX_GRID_SIZE']} to run")
 

models/demos/t3000/llama2_70b/tt/llama_common.py

@@ -192,7 +192,7 @@ def check_mesh_device(t3k_mesh_device, model_config):
         model_config["NUM_DEVICES"],
     )
 
-    compute_grid_size = t3k_mesh_device.get_device(0).compute_with_storage_grid_size()
+    compute_grid_size = t3k_mesh_device.compute_with_storage_grid_size()
     assert not (
         compute_grid_size.x < model_config["MAX_GRID_SIZE"][0] or compute_grid_size.y < model_config["MAX_GRID_SIZE"][1]
     ), ("Requires grid size of at least %d to run", model_config["MAX_GRID_SIZE"])

models/demos/tg/llama3_70b/tt/llama_attention_galaxy.py

@@ -479,7 +479,7 @@ def attn_mqa(
         value_layer.deallocate(True)
 
         program_config = ttnn.SDPAProgramConfig(
-            compute_with_storage_grid_size=self.mesh_device.get_device(0).compute_with_storage_grid_size(),
+            compute_with_storage_grid_size=self.mesh_device.compute_with_storage_grid_size(),
             q_chunk_size=0,  # unused
             k_chunk_size=0,  # unused
         )

models/demos/tg/llama3_70b/tt/llama_mlp_galaxy.py

@@ -55,8 +55,8 @@ def get_mlp_model_config(self):
                     ttnn.CoreRange(
                         ttnn.CoreCoord(0, 0),
                         ttnn.CoreCoord(
-                            self.mesh_device.get_device(0).dram_grid_size().x - 1,
-                            self.mesh_device.get_device(0).dram_grid_size().y - 1,
+                            self.mesh_device.dram_grid_size().x - 1,
+                            self.mesh_device.dram_grid_size().y - 1,
                         ),
                     )
                 }

models/utility_functions.py

@@ -971,9 +971,10 @@ def get_devices_for_t3000(all_devices, num_devices):
     if num_devices <= 4:
         return all_devices[:num_devices]
     elif num_devices == 8:
-        # TODO: Generalize this for different arch
-        hamiltonian_ring_indices = [0, 4, 5, 1, 2, 6, 7, 3]
-        return [all_devices[i] for i in hamiltonian_ring_indices]
+        # Temporary until we move request for ring order to CCL operations directly.
+        # This is better because we no longer need to manually manage the ring order.
+        ring_indices = ttnn.get_t3k_physical_device_ids_ring()
+        return [all_devices[i] for i in ring_indices]
     else:
         raise NotImplementedError("Only supports 1, 2, 3, 4, and 8 chip configurations!")
 

tests/scripts/tgg/run_tgg_unit_tests.sh

@@ -7,6 +7,7 @@ run_tgg_tests() {
 
   TT_METAL_SLOW_DISPATCH_MODE=1 ./build/test/tt_metal/unit_tests_galaxy --gtest_filter="GalaxyFixture.*:TGGFixture.*"
   ./build/test/tt_metal/unit_tests_galaxy --gtest_filter="GalaxyFixture.*:TGGFixture.*"
+  pytest -s tests/ttnn/multichip_unit_tests/test_mesh_device_TGG.py
 }
 
 main() {

tests/sweep_framework/README.md

@@ -190,11 +190,11 @@ def mesh_device_fixture():
 
     assert ttnn.get_num_devices() >= 8, "Not T3000!"
 
-    device_ids = [0, 4, 5, 1, 2, 6, 7, 3]
+    device_ids = ttnn.get_t3k_physical_device_ids_ring()
     num_devices_requested = len(device_ids)
 
     mesh_device = ttnn.open_mesh_device(
-        ttnn.MeshShape(1, num_devices_requested), device_ids[:num_devices_requested]
+        ttnn.MeshShape(1, num_devices_requested),
     )
 
     print("ADD: Opened device mesh")

tests/sweep_framework/sweeps/line_all_gather.py

@@ -62,9 +62,8 @@ def invalidate_vector(test_vector) -> Tuple[bool, Optional[str]]:
 
 
 def mesh_device_fixture():
-
     assert ttnn.get_num_devices() >= 8, "Not T3000!"
-    device_ids = [0, 4, 5, 1, 2, 6, 7, 3]
+    device_ids = ttnn.get_t3k_physical_device_ids_ring()
     num_devices_requested = len(device_ids)
     mesh_device = ttnn.open_mesh_device(ttnn.MeshShape(1, num_devices_requested), device_ids[:num_devices_requested])
     print("ALL GATHER: Opened device mesh")

tests/ttnn/multichip_unit_tests/test_mesh_device_TGG.py

@@ -0,0 +1,12 @@
+# SPDX-FileCopyrightText: © 2024 Tenstorrent Inc.
+
+# SPDX-License-Identifier: Apache-2.0
+
+import torch
+import pytest
+import ttnn
+
+
+@pytest.mark.parametrize("mesh_device", [pytest.param((8, 8), id="8x8_grid")], indirect=True)
+def test_visualize_mesh_device(mesh_device):
+    ttnn.visualize_mesh_device(mesh_device)

tests/ttnn/multichip_unit_tests/test_multidevice_TG.py

@@ -210,9 +210,7 @@ def test_galaxy_matmul_2d_fracture_dram_sharded(M, K, N, weights_dtype, mesh_sha
         {
             ttnn.CoreRange(
                 ttnn.CoreCoord(0, 0),
-                ttnn.CoreCoord(
-                    mesh_device.get_device(0).dram_grid_size().x - 1, mesh_device.get_device(0).dram_grid_size().y - 1
-                ),
+                ttnn.CoreCoord(mesh_device.dram_grid_size().x - 1, mesh_device.dram_grid_size().y - 1),
             )
         }
     )
@@ -711,7 +709,7 @@ def test_fill_cache(
 
             xt = x
 
-            compute_grid_size = mesh_device.get_device(0).compute_with_storage_grid_size()
+            compute_grid_size = mesh_device.compute_with_storage_grid_size()
             num_cores = min(seq_len // 32 * num_heads, 32)  # Always use max 32 cores for testing
             mesh_shape = ttnn.CoreRangeSet(ttnn.num_cores_to_corerange_set(num_cores, compute_grid_size, True))
             input_shard_spec = ttnn.ShardSpec(
@@ -783,7 +781,7 @@ def test_update_cache_decode(
             x_new = torch.cat((x_new, torch.zeros(32 - num_users - batch_offset, num_heads, 1, head_dim)), dim=0)
             assert x_new.shape[0] == 32, f"Expected x.shape[0] to be 32, got {x_new.shape[0]}"
         xt = x_new.permute(2, 1, 0, 3)
-        compute_grid_size = mesh_device.get_device(0).compute_with_storage_grid_size()
+        compute_grid_size = mesh_device.compute_with_storage_grid_size()
         num_cores = min(max(num_users, 32) // 32 * num_heads, compute_grid_size.x * compute_grid_size.y)
         mesh_shape = ttnn.CoreRangeSet(ttnn.num_cores_to_corerange_set(num_cores, compute_grid_size, True))
         input_shard_spec = ttnn.ShardSpec(
@@ -865,7 +863,7 @@ def run_test_sdpa_decode_single_iter(
     sharded_in=False,
     sharded_out=False,
 ):
-    compute_grid_size = mesh_device.get_device(0).compute_with_storage_grid_size()
+    compute_grid_size = mesh_device.compute_with_storage_grid_size()
     if grid_size[0] > compute_grid_size.x or grid_size[1] > compute_grid_size.y:
         pytest.skip(f"Need {grid_size} grid size to run this test but core grid is {compute_grid_size}")
 

tests/ttnn/unit_tests/gtests/test_ccl_on_tg.cpp

@@ -55,17 +55,8 @@ TEST(TGTests, TestAllGatherDeadlock) {
     TT_FATAL(num_devices_in_tunnel == 4, "Expected Galaxy to have tunnel depth of 4");
     TT_FATAL(num_mmio_devices * cluster_tunnel_count == 8, "Expected 8 tunnels in a Galaxy");
 
-    std::vector<chip_id_t> all_device_ids = {};
-    for (uint32_t mmio_idx = 0; mmio_idx < num_mmio_devices; mmio_idx++) {
-        auto tunnels_from_mmio = tt::Cluster::instance().get_tunnels_from_mmio_device(mmio_idx);
-        for (uint32_t tunnel_idx = 0; tunnel_idx < tunnels_from_mmio.size(); tunnel_idx++) {
-            auto remote_devices_in_tunnel = tunnels_from_mmio.at(tunnel_idx);
-            all_device_ids.insert(all_device_ids.end(), remote_devices_in_tunnel.begin(), remote_devices_in_tunnel.end());
-        }
-    }
-
     // Create the device mesh: Grid size is <num_tunnels, tunnel_depth>.
-    auto mesh = ttnn::multi_device::open_mesh_device({cluster_tunnel_count * num_mmio_devices, num_devices_in_tunnel}, all_device_ids, 0, 0, 1, DispatchCoreType::WORKER);
+    auto mesh = ttnn::multi_device::open_mesh_device({cluster_tunnel_count * num_mmio_devices, num_devices_in_tunnel}, 0, 0, 1, DispatchCoreType::WORKER);
 
     // Setup input data and output data containers
     MemoryConfig mem_cfg = MemoryConfig{
@@ -87,7 +78,7 @@ TEST(TGTests, TestAllGatherDeadlock) {
     // Iterate over each tunnel and run line all-gather multiple times.
     // For each tunnel, send adversarial traffic to the first chip, that can hang the network if the CCL is not tagged.
     for (uint32_t row = 0; row < 8; row++) {
-        auto devs = mesh.get_devices_on_row(row);
+        auto devs = mesh->get_devices_on_row(row);
         std::vector<uint32_t> device_ids = {};
         for (auto dev : devs) {
             device_ids.push_back(dev->id());
@@ -146,26 +137,17 @@ TEST(TGTests, TestReduceScatterDeadlock) {
     TT_FATAL(num_devices_in_tunnel == 4, "Expected Galaxy to have tunnel depth of 4");
     TT_FATAL(num_mmio_devices * cluster_tunnel_count == 8, "Expected 8 tunnels in a Galaxy");
 
-    std::vector<chip_id_t> all_device_ids = {};
-    for (uint32_t mmio_idx = 0; mmio_idx < num_mmio_devices; mmio_idx++) {
-        auto tunnels_from_mmio = tt::Cluster::instance().get_tunnels_from_mmio_device(mmio_idx);
-        for (uint32_t tunnel_idx = 0; tunnel_idx < tunnels_from_mmio.size(); tunnel_idx++) {
-            auto remote_devices_in_tunnel = tunnels_from_mmio.at(tunnel_idx);
-            all_device_ids.insert(all_device_ids.end(), remote_devices_in_tunnel.begin(), remote_devices_in_tunnel.end());
-        }
-    }
-
     // Create the device mesh: Grid size is <num_tunnels, tunnel_depth>.
-    auto mesh = ttnn::multi_device::open_mesh_device({cluster_tunnel_count * num_mmio_devices, num_devices_in_tunnel}, all_device_ids, 0, 0, 1, DispatchCoreType::WORKER);
+    auto mesh = ttnn::multi_device::open_mesh_device({cluster_tunnel_count * num_mmio_devices, num_devices_in_tunnel}, 0, 0, 1, DispatchCoreType::WORKER);
     // Create the outer ring on which Reduce Scatter will be run. This allows us to verify that there are no deadlocks when we send CCLs to the
     // first tunnel (forward path).
-    std::vector<Device*> ring_devices = mesh.get_devices_on_row(0); // Tunnel 0
-    std::vector<Device*> ring_devices_1 = mesh.get_devices_on_column(3); // Orthogonal to tunnel .. no deadlocks
+    std::vector<Device*> ring_devices = mesh->get_devices_on_row(0); // Tunnel 0
+    std::vector<Device*> ring_devices_1 = mesh->get_devices_on_column(3); // Orthogonal to tunnel .. no deadlocks
     ring_devices_1 = std::vector<Device*>(ring_devices_1.begin() + 1, ring_devices_1.end());
-    std::vector<Device*> ring_devices_2 = mesh.get_devices_on_row(7); // Tunnel 7 .. potential deadlocks with lack of buffering
+    std::vector<Device*> ring_devices_2 = mesh->get_devices_on_row(7); // Tunnel 7 .. potential deadlocks with lack of buffering
     std::reverse(ring_devices_2.begin(), ring_devices_2.end());
     ring_devices_2 = std::vector<Device*>(ring_devices_2.begin() + 1, ring_devices_2.end());
-    std::vector<Device*> ring_devices_3 = mesh.get_devices_on_column(0); // Orthogonal to tunnel .. no deadlocks
+    std::vector<Device*> ring_devices_3 = mesh->get_devices_on_column(0); // Orthogonal to tunnel .. no deadlocks
     std::reverse(ring_devices_3.begin(), ring_devices_3.end());
     ring_devices_3 = std::vector<Device*>(ring_devices_3.begin() + 1, ring_devices_3.end() - 1);
 

tests/ttnn/unit_tests/gtests/ttnn_test_fixtures.hpp

@@ -67,19 +67,20 @@ class T3kMultiDeviceFixture : public ::testing::Test {
         if (num_devices < 8 or arch != tt::ARCH::WORMHOLE_B0) {
             GTEST_SKIP() << "Skipping T3K Multi-Device test suite on non T3K machine.";
         }
-        const auto T3K_DEVICE_IDS = DeviceIds{0, 4, 5, 1, 2, 6, 7, 3};
         constexpr auto DEFAULT_NUM_COMMAND_QUEUES = 1;
-        mesh_device_ = std::make_unique<MeshDevice>(
-            MeshShape{1, num_devices},
-            T3K_DEVICE_IDS,
+        mesh_device_ = MeshDevice::create(
+            MeshShape{2, 4},
             DEFAULT_L1_SMALL_SIZE,
             DEFAULT_TRACE_REGION_SIZE,
             DEFAULT_NUM_COMMAND_QUEUES,
             DispatchCoreType::WORKER);
     }
 
-    void TearDown() override { mesh_device_.reset(); }
-    std::unique_ptr<MeshDevice> mesh_device_;
+    void TearDown() override {
+        mesh_device_->close_devices();
+        mesh_device_.reset();
+    }
+    std::shared_ptr<MeshDevice> mesh_device_;
 };
 
 }  // namespace ttnn::multi_device::test

tests/ttnn/unit_tests/test_multi_device.py

@@ -23,8 +23,7 @@ def test_mesh_device_open_close_explicit(silicon_arch_name, silicon_arch_wormhol
     if num_pcie_devices <= 1:
         pytest.skip("Requires multiple devices to run")
 
-    mesh_shape, device_ids = ttnn.MeshShape(2, 2), ttnn.get_pcie_device_ids()
-    multi_device = ttnn.open_mesh_device(mesh_shape, device_ids)
+    multi_device = ttnn.open_mesh_device(ttnn.MeshShape(2, 2))
     ttnn.close_mesh_device(multi_device)
 
 
@@ -34,12 +33,12 @@ def test_multi_device_subset_mesh(silicon_arch_name, silicon_arch_wormhole_b0):
     if num_pcie_devices <= 1:
         pytest.skip("Requires multiple devices to run")
 
-    mesh_shape, device_ids = ttnn.MeshShape(1, 2), ttnn.get_pcie_device_ids()
-    multi_device = ttnn.open_mesh_device(mesh_shape, device_ids)
+    mesh_shape = ttnn.MeshShape(1, 2)
+    multi_device = ttnn.open_mesh_device(mesh_shape)
     assert multi_device.get_num_devices() == 2
     ttnn.close_mesh_device(multi_device)
 
-    multi_device = ttnn.open_mesh_device(mesh_shape, device_ids)
+    multi_device = ttnn.open_mesh_device(mesh_shape)
     assert multi_device.get_num_devices() == 2
     ttnn.close_mesh_device(multi_device)
 

tt_metal/impl/device/mesh_configurations/N300.json

@@ -0,0 +1,5 @@
+{
+    "logical_to_physical_coordinates": [
+      [[0, 0], [0, 0, 0, 0]], [[0, 1], [0, 1, 0, 0]]
+    ]
+}

tt_metal/impl/device/mesh_configurations/T3000.json

@@ -0,0 +1,6 @@
+{
+    "logical_to_physical_coordinates": [
+      [[0, 0], [0, 0, 0, 0]], [[0, 1], [0, 1, 0, 0]], [[0, 2], [0, 2, 0, 0]], [[0, 3], [0, 3, 0, 0]],
+      [[1, 0], [1, 3, 0, 0]], [[1, 1], [1, 2, 0, 0]], [[1, 2], [1, 1, 0, 0]], [[1, 3], [1, 0, 0, 0]]
+    ]
+}

tt_metal/impl/device/mesh_configurations/TG.json

@@ -0,0 +1,36 @@
+{
+  "logical_to_physical_coordinates": [
+    [[0, 0], [7, 3, 0, 1]],
+    [[0, 1], [7, 2, 0, 1]],
+    [[0, 2], [7, 1, 0, 1]],
+    [[0, 3], [7, 0, 0, 1]],
+    [[1, 0], [6, 3, 0, 1]],
+    [[1, 1], [6, 2, 0, 1]],
+    [[1, 2], [6, 1, 0, 1]],
+    [[1, 3], [6, 0, 0, 1]],
+    [[2, 0], [5, 3, 0, 1]],
+    [[2, 1], [5, 2, 0, 1]],
+    [[2, 2], [5, 1, 0, 1]],
+    [[2, 3], [5, 0, 0, 1]],
+    [[3, 0], [4, 3, 0, 1]],
+    [[3, 1], [4, 2, 0, 1]],
+    [[3, 2], [4, 1, 0, 1]],
+    [[3, 3], [4, 0, 0, 1]],
+    [[4, 0], [3, 3, 0, 1]],
+    [[4, 1], [3, 2, 0, 1]],
+    [[4, 2], [3, 1, 0, 1]],
+    [[4, 3], [3, 0, 0, 1]],
+    [[5, 0], [2, 3, 0, 1]],
+    [[5, 1], [2, 2, 0, 1]],
+    [[5, 2], [2, 1, 0, 1]],
+    [[5, 3], [2, 0, 0, 1]],
+    [[6, 0], [1, 3, 0, 1]],
+    [[6, 1], [1, 2, 0, 1]],
+    [[6, 2], [1, 1, 0, 1]],
+    [[6, 3], [1, 0, 0, 1]],
+    [[7, 0], [0, 3, 0, 1]],
+    [[7, 1], [0, 2, 0, 1]],
+    [[7, 2], [0, 1, 0, 1]],
+    [[7, 3], [0, 0, 0, 1]]
+  ]
+}