Add layout to mhlo::InfeedOp td.
PiperOrigin-RevId: 356286875
This commit is contained in:
parent
80d753c1fe
commit
4a29ca3b1d
|
@ -401,12 +401,18 @@ def HLO_InfeedOp : HLO_Op<"infeed", []> {
|
||||||
of the data. Multiple Infeed operations are allowed in a computation, but
|
of the data. Multiple Infeed operations are allowed in a computation, but
|
||||||
there must be a total order among the Infeed operations.
|
there must be a total order among the Infeed operations.
|
||||||
|
|
||||||
|
Attributes:
|
||||||
|
layout: Array attribute. Same shape as the output of the infeed, except
|
||||||
|
that every tensor is replaced by a minor_to_major array for the
|
||||||
|
tensor's layout.
|
||||||
|
|
||||||
See https://www.tensorflow.org/xla/operation_semantics#infeed.
|
See https://www.tensorflow.org/xla/operation_semantics#infeed.
|
||||||
}];
|
}];
|
||||||
|
|
||||||
let arguments = (ins
|
let arguments = (ins
|
||||||
HLO_Token:$token,
|
HLO_Token:$token,
|
||||||
DefaultValuedAttr<StrAttr, "">:$infeed_config
|
DefaultValuedAttr<StrAttr, "">:$infeed_config,
|
||||||
|
OptionalAttr<ArrayAttr>:$layout
|
||||||
);
|
);
|
||||||
let results = (outs HLO_Tuple);
|
let results = (outs HLO_Tuple);
|
||||||
let hasCustomHLOConverter = 1;
|
let hasCustomHLOConverter = 1;
|
||||||
|
|
|
@ -442,7 +442,7 @@ func @dot_bad_precision_config(%arg0: tensor<2x2xi32>, %arg1: tensor<2x2xi32>) -
|
||||||
|
|
||||||
func @infeed_invalid_number_of_results(%token: !mhlo.token) -> tuple<tuple<tensor<i32>>, !mhlo.token, tensor<i32>> {
|
func @infeed_invalid_number_of_results(%token: !mhlo.token) -> tuple<tuple<tensor<i32>>, !mhlo.token, tensor<i32>> {
|
||||||
// expected-error@+1 {{result is expected to be a tuple of size 2, but got 3}}
|
// expected-error@+1 {{result is expected to be a tuple of size 2, but got 3}}
|
||||||
%0 = "mhlo.infeed"(%token) {infeed_config = "foobar"} : (!mhlo.token) -> tuple<tuple<tensor<i32>>, !mhlo.token, tensor<i32>>
|
%0 = "mhlo.infeed"(%token) {infeed_config = "foobar", layout = [[[0]], unit, [0]]} : (!mhlo.token) -> tuple<tuple<tensor<i32>>, !mhlo.token, tensor<i32>>
|
||||||
return %0 : tuple<tuple<tensor<i32>>, !mhlo.token, tensor<i32>>
|
return %0 : tuple<tuple<tensor<i32>>, !mhlo.token, tensor<i32>>
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -450,7 +450,7 @@ func @infeed_invalid_number_of_results(%token: !mhlo.token) -> tuple<tuple<tenso
|
||||||
|
|
||||||
func @infeed_non_token_second_result(%token: !mhlo.token) -> tuple<tuple<tensor<i32>>, tensor<i32>> {
|
func @infeed_non_token_second_result(%token: !mhlo.token) -> tuple<tuple<tensor<i32>>, tensor<i32>> {
|
||||||
// expected-error@+1 {{second element of result tuple is expected to be of token type, but got 'tensor<i32>'}}
|
// expected-error@+1 {{second element of result tuple is expected to be of token type, but got 'tensor<i32>'}}
|
||||||
%0 = "mhlo.infeed"(%token) {infeed_config = "foobar"} : (!mhlo.token) -> tuple<tuple<tensor<i32>>, tensor<i32>>
|
%0 = "mhlo.infeed"(%token) {infeed_config = "foobar", layout = [[[0]], [0]]} : (!mhlo.token) -> tuple<tuple<tensor<i32>>, tensor<i32>>
|
||||||
return %0 : tuple<tuple<tensor<i32>>, tensor<i32>>
|
return %0 : tuple<tuple<tensor<i32>>, tensor<i32>>
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
Loading…
Reference in New Issue