From f41959ccb2d9d4c722fe8fc3351401d53bcf4900 Mon Sep 17 00:00:00 2001
From: Manjunath Kudlur <keveman@gmail.com>
Date: Fri, 6 Nov 2015 16:27:58 -0800
Subject: TensorFlow: Initial commit of TensorFlow library. TensorFlow is an
 open source software library for numerical computation using data flow
 graphs.

Base CL: 107276108
---
 tensorflow/stream_executor/platform.cc | 115 +++++++++++++++++++++++++++++++++
 1 file changed, 115 insertions(+)
 create mode 100644 tensorflow/stream_executor/platform.cc

(limited to 'tensorflow/stream_executor/platform.cc')

diff --git a/tensorflow/stream_executor/platform.cc b/tensorflow/stream_executor/platform.cc
new file mode 100644
index 0000000000..8be9353bbe
--- /dev/null
+++ b/tensorflow/stream_executor/platform.cc
@@ -0,0 +1,115 @@
+#include "tensorflow/stream_executor/platform.h"
+
+#include "tensorflow/stream_executor/platform/port.h"
+
+#include "tensorflow/stream_executor/lib/error.h"
+#include "tensorflow/stream_executor/lib/strcat.h"
+#include "tensorflow/stream_executor/platform/logging.h"
+#include "tensorflow/stream_executor/stream_executor_pimpl.h"
+
+namespace perftools {
+namespace gputools {
+
+string PlatformKindString(PlatformKind kind) {
+  switch (kind) {
+    case PlatformKind::kCuda:
+      return "CUDA";
+    case PlatformKind::kOpenCL:
+      return "OpenCL";
+    case PlatformKind::kOpenCLAltera:
+      return "OpenCL+Altera";
+    case PlatformKind::kHost:
+      return "Host";
+    case PlatformKind::kMock:
+      return "Mock";
+    default:
+      return port::StrCat("InvalidPlatformKind(", static_cast<int>(kind), ")");
+  }
+}
+
+PlatformKind PlatformKindFromString(string kind) {
+  for (int i = 0; i < static_cast<int>(PlatformKind::kSize); ++i) {
+    if (kind == PlatformKindString(static_cast<PlatformKind>(i))) {
+      return static_cast<PlatformKind>(i);
+    }
+  }
+
+  return PlatformKind::kInvalid;
+}
+
+bool PlatformIsRunnable(PlatformKind kind) {
+  switch (kind) {
+    case PlatformKind::kCuda:
+    case PlatformKind::kOpenCL:
+    case PlatformKind::kHost:
+      return true;
+    default:
+      return false;
+  }
+}
+
+bool PlatformIsRunnableOnDevice(PlatformKind kind) {
+  switch (kind) {
+    case PlatformKind::kCuda:
+    case PlatformKind::kOpenCL:
+      return true;
+    default:
+      return false;
+  }
+}
+
+void CheckPlatformKindIsValid(PlatformKind kind) {
+  CHECK(static_cast<int>(PlatformKind::kCuda) <= static_cast<int>(kind) &&
+        static_cast<int>(kind) <= static_cast<int>(PlatformKind::kMock))
+      << "invalid GPU executor kind: " << PlatformKindString(kind);
+}
+
+StreamExecutorConfig::StreamExecutorConfig()
+    : ordinal(-1), device_options(DeviceOptions::Default()) {}
+
+StreamExecutorConfig::StreamExecutorConfig(int ordinal_in)
+    : ordinal(ordinal_in), device_options(DeviceOptions::Default()) {}
+
+Platform::~Platform() {}
+
+port::Status Platform::ForceExecutorShutdown() {
+  return port::Status(port::error::UNIMPLEMENTED,
+                      "executor shutdown is not supported on this platform");
+}
+
+std::unique_ptr<Platform::PeerAccessMap> Platform::GetPeerAccessMap() {
+  auto *map = new PeerAccessMap;
+
+  int device_count = VisibleDeviceCount();
+  for (int i = 0; i < device_count; ++i) {
+    for (int j = 0; j < device_count; ++j) {
+      StreamExecutor *from = ExecutorForDevice(i).ValueOrDie();
+      StreamExecutor *to = ExecutorForDevice(j).ValueOrDie();
+      (*map)[{i, j}] = from->CanEnablePeerAccessTo(to);
+    }
+  }
+
+  return std::unique_ptr<Platform::PeerAccessMap>{map};
+}
+
+port::Status Platform::EnablePeerAccess() {
+  auto peer_access_map = GetPeerAccessMap();
+  for (const auto &access : *peer_access_map) {
+    auto devices = access.first;
+    if (access.second) {
+      StreamExecutor *from = ExecutorForDevice(devices.first).ValueOrDie();
+      StreamExecutor *to = ExecutorForDevice(devices.second).ValueOrDie();
+      auto status = from->EnablePeerAccessTo(to);
+      if (!status.ok()) {
+        return status;
+      }
+    } else {
+      LOG(INFO) << "cannot enable peer access from device ordinal "
+                << devices.first << " to device ordinal " << devices.second;
+    }
+  }
+  return port::Status::OK();
+}
+
+}  // namespace gputools
+}  // namespace perftools
-- 
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