{"action":"created","comment":{"url":"https://api.github.com/repos/dmlc/tvm/pulls/comments/243442116","pull_request_review_id":187215897,"id":243442116,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDI0MzQ0MjExNg==","diff_hunk":"@@ -0,0 +1,396 @@\n+====================\n+Expressions in Relay\n+====================\n+\n+The Relay IR is a pure, expression-oriented language with distinct\n+dataflow and control flow language fragments.\n+The dataflow fragments of a program (i.e., those without\n+calls to recursive functions or branching) can be\n+viewed as a traditional computation graph when writing and\n+expressing transformations.\n+\n+The below sections describe the different expressions in Relay\n+as well as give details of their semantics.\n+\n+Variables\n+=========\n+\n+Relay allows for local and global variables. Our design is based on\n+that of LLVM, which differentiates between identifier types; a writer of\n+optimizations can thus determine what a variable references\n+simply by knowing the kind of identifier.\n+\n+Global variables are written with `@`, local variables are written\n+with `%`, and variables written without a sigil correspond to operator\n+names.\n+\n+The distinction between global and local identifiers\n+makes certain kinds of transformation easier. For example,\n+inlining a global definition requires no analysis: simply inlining\n+the definition suffices.\n+\n+Global Variable\n+~~~~~~~~~~~~~~~~~~\n+\n+Global identifiers are prefixed by the `@` sigil, such as \"`@global`\".\n+A global identifier always references a globally visibly definition contained in the environment.\n+Global identifiers must be unique.\n+\n+See :py:class:`~tvm.relay.expr.GlobalVar` for its implementation\n+and documentation.\n+\n+Local Variable\n+~~~~~~~~~~~~~~~~~\n+\n+Local identifiers are prefixed by the :code:`%` sigil,\n+such as \":code:`%local`\". A local identifier always references\n+a function argument or a variable bound in a :code:`let` expression.\n+A local variable will be scoped to the function where it\n+appears or the :code:`let` expression where it is bound, respectively.\n+\n+Suppose the local variable :code:`%a` has been defined in a scope\n+and within that scope, a :code:`let` expression binding to a variable\n+:code:`%a` appears. This is permitted, as in most functional languages.\n+In the scope of the :code:`let` expression (the inner scope),\n+the name :code:`%a` is \"shadowed,\" meaning all references to\n+:code:`%a` in the inner scope refer to the later defintion, while\n+references to :code:`%a` in the outer scope continue to refer to\n+the previous one.\n+\n+(Note that in Relay's implemetnation, each definition of a local variable\n+creates a new :py:class:`~tvm.relay.expr.Var`, so a shadowed local variable,\n+despite having the same name as one in an outer scope, will be a different\n+object. This allows for comparing local variables by pointer identity with the\n+knowledge that the same local variable object corresponds to a different binding site.)\n+\n+See :py:class:`~tvm.relay.expr.Var` for its implementation\n+and documentation.\n+\n+Global Functions\n+================\n+\n+A function definition consists of a name, arguments, return type,\n+type parameters, and any applicable type relations.\n+A function's return type and parameter types may be omitted;\n+Relay will attempt to infer the most general types where types\n+are omitted.\n+\n+Functions in Relay act similarly to procedures or functions in\n+other programming language and serve to generalize the concept\n+of a named subgraph.\n+\n+Functions defined in the manner described in this subsection are\n+of global scope; anonymous functions will be discussed later, though\n+their mechanics are nearly identical. Note that global functions may be\n+recursive; that is, within the function's body, the function's\n+identifier refers back to the function unless it is shadowed in a :code:`let`\n+expression.\n+\n+A definition minimally consists of an identifier :code:`@id`, an empty set of\n+parameters, and a body expression (:py:class:`~tvm.relay.expr.Expr`)\n+contained by curly braces.\n+\n+.. code-block:: python\n+\n+    def @id() { body }\n+\n+A definition may contain any number of parameters. For example, a\n+simple function that invokes the `add` operator:\n+\n+.. code-block:: python\n+\n+    def @plus(%x, %y) { add(%x, %y) }\n+\n+Notice that within the function's body, the parameters are local\n+variables, just like those bound in a :code:`let` expression.\n+\n+One may also annotate explicit types on definitions.\n+For example, we can restrict the above definition to only work\n+on certain types:\n+\n+.. code-block:: python\n+\n+    def @plus(%x: Tensor<(10, 10), float32>, %y: Tensor<(10, 10), float32>)\n+               -> Tensor<(10, 10), float32> {\n+        add(%x, %y)\n+    }\n+\n+A function parameter is just a local variable (:py:class:`~tvm.relay.expr.LocalVar`) optionally\n+annotated with a type. Parameters are written as :code:`%x : T`.\n+\n+When the type information is omitted, we will attempt to infer the most general type\n+for the users. This property is known as generalization: for a definition without\n+explicit annotations, we will attempt to assign the most general type. When the\n+return type is omitted, we will infer the return type based on the function body.\n+\n+We can directly construct type-polymorphic definitions by writing down\n+a set of type parameters for a definition. For example, one can define a\n+polymorphic identity function for tensors as follows:\n+\n+.. code-block:: python\n+    def @id<s: Shape, bt: BaseType>(%x: Tensor<s, bt>) {\n+        %x\n+    }\n+\n+Notice that the return type is omitted and will be inferred.\n+\n+A function may also be subject to one or more type relations, such as in\n+the following:\n+\n+.. code-block:: python\n+\n+    def @plus(%x, %y) where Broadcast { add(%x, %y) }\n+\n+In the above definition, the types of `%x` and `%y` and the return type\n+are subject to the `Broadcast` relation, meaning all three must be tensors\n+and their shapes follow the elementwise broadcast relation. As with\n+operators, the definitions of relations are not transparent to Relay\n+and they are instead implemented externally in either C++ or Python.\n+\n+As in the case of `Broadcast`, relations are used to express complicated\n+constraints on types (especially tensor shapes).\n+All function relations must hold at all call sites;\n+type checking is thus treated as a constraint-solving problem.\n+For more detail on type relations and their implementations,\n+please see the documentation on typing in Relay.\n+\n+See :py:class:`~tvm.relay.expr.Function` for the definition and documentation of function nodes.\n+\n+Operators\n+=========\n+\n+An operator is a primitive operation not defined in the Relay\n+language. Operators are declaredi n the global operator\n+registry in C++. Many common operators are backed by TVM's\n+Tensor Operator Inventory (`TOPI <https://github.com/dmlc/tvm/tree/master/topi>`__).\n+\n+but registered in the global environment in either Python","path":"docs/langref/relay_expr.rst","position":167,"original_position":167,"commit_id":"b7f25eff33bd1046b0fbb09a23439270ca14dd91","original_commit_id":"1aabbc5e2c10034812b180c08cb829e88bc2da0d","user":{"login":"slyubomirsky","id":5624871,"node_id":"MDQ6VXNlcjU2MjQ4NzE=","avatar_url":"https://avatars1.githubusercontent.com/u/5624871?v=4","gravatar_id":"","url":"https://api.github.com/users/slyubomirsky","html_url":"https://github.com/slyubomirsky","followers_url":"https://api.github.com/users/slyubomirsky/followers","following_url":"https://api.github.com/users/slyubomirsky/following{/other_user}","gists_url":"https://api.github.com/users/slyubomirsky/gists{/gist_id}","starred_url":"https://api.github.com/users/slyubomirsky/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/slyubomirsky/subscriptions","organizations_url":"https://api.github.com/users/slyubomirsky/orgs","repos_url":"https://api.github.com/users/slyubomirsky/repos","events_url":"https://api.github.com/users/slyubomirsky/events{/privacy}","received_events_url":"https://api.github.com/users/slyubomirsky/received_events","type":"User","site_admin":false},"body":"Thanks, will correct it","created_at":"2018-12-20T22:48:19Z","updated_at":"2018-12-20T22:48:19Z","html_url":"https://github.com/dmlc/tvm/pull/2232#discussion_r243442116","pull_request_url":"https://api.github.com/repos/dmlc/tvm/pulls/2232","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/dmlc/tvm/pulls/comments/243442116"},"html":{"href":"https://github.com/dmlc/tvm/pull/2232#discussion_r243442116"},"pull_request":{"href":"https://api.github.com/repos/dmlc/tvm/pulls/2232"}},"in_reply_to_id":243434530},"pull_request":{"url":"https://api.github.com/repos/dmlc/tvm/pulls/2232","id":236022024,"node_id":"MDExOlB1bGxSZXF1ZXN0MjM2MDIyMDI0","html_url":"https://github.com/dmlc/tvm/pull/2232","diff_url":"https://github.com/dmlc/tvm/pull/2232.diff","patch_url":"https://github.com/dmlc/tvm/pull/2232.patch","issue_url":"https://api.github.com/repos/dmlc/tvm/issues/2232","number":2232,"state":"open","locked":false,"title":"[Relay][Docs] Relay Language Reference","user":{"login":"slyubomirsky","id":5624871,"node_id":"MDQ6VXNlcjU2MjQ4NzE=","avatar_url":"https://avatars1.githubusercontent.com/u/5624871?v=4","gravatar_id":"","url":"https://api.github.com/users/slyubomirsky","html_url":"https://github.com/slyubomirsky","followers_url":"https://api.github.com/users/slyubomirsky/followers","following_url":"https://api.github.com/users/slyubomirsky/following{/other_user}","gists_url":"https://api.github.com/users/slyubomirsky/gists{/gist_id}","starred_url":"https://api.github.com/users/slyubomirsky/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/slyubomirsky/subscriptions","organizations_url":"https://api.github.com/users/slyubomirsky/orgs","repos_url":"https://api.github.com/users/slyubomirsky/repos","events_url":"https://api.github.com/users/slyubomirsky/events{/privacy}","received_events_url":"https://api.github.com/users/slyubomirsky/received_events","type":"User","site_admin":false},"body":"Here is an attempt at revising @jroesch's old Relay documentation for #2212. There have been large changes to the language since the initial version of those comments (see the first commit, which preserved them), so there was a lot to adjust.\r\n\r\nOrganization of these documents was a tough point, so I would especially appreciate feedback on that. Any feedback on content and clarity (or other relevant points) would be welcome as well.\r\n\r\nOne change @tqchen recommended on the previous documentation PR was keeping Relay language reference docs in the same directory as the other language reference documents, so I did that here rather than having it in a subdirectory. I also would be interested in discussion as to whether this is a good format.","created_at":"2018-12-05T02:00:56Z","updated_at":"2018-12-20T22:48:19Z","closed_at":null,"merged_at":null,"merge_commit_sha":"70d43108f1efaaf793ba0a77eab0646b73c7f421","assignee":null,"assignees":[],"requested_reviewers":[],"requested_teams":[],"labels":[{"id":858780915,"node_id":"MDU6TGFiZWw4NTg3ODA5MTU=","url":"https://api.github.com/repos/dmlc/tvm/labels/status:%20need%20review","name":"status: need review","color":"fbca04","default":false},{"id":961828004,"node_id":"MDU6TGFiZWw5NjE4MjgwMDQ=","url":"https://api.github.com/repos/dmlc/tvm/labels/status:%20need%20update","name":"status: need 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