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Results 1 - 10 of 272 for mhlo (0.08 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-NEXT: %[[cmul:.*]] = mhlo.convert %[[mul]] : tensor<8x8x8x8xf32> // CHECK-NEXT: %[[init:.*]] = mhlo.constant dense<-0.000000e+00> : tensor<f32> // CHECK-NEXT: %[[red1:.*]] = mhlo.reduce(%[[cmul]] init: %[[init]]) applies mhlo.add across dimensions = [0, 1, 2] : (tensor<8x8x8x8xf32>, tensor<f32>) -> tensor<8xf32> // CHECK-NEXT: %[[scr2:.*]] = mhlo.convert %[[red1]] : tensor<8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/xla_legalize_tf_passes.td
" a verification pass to ensure invariants are true."}]; let options = [ Option<"legalize_chlo_", "legalize-chlo", "bool", /*default=*/"true", "Legalizes intermediate chlo ops to hlo"> ]; let constructor = "mlir::mhlo::CreateVerifyTFXLALegalizationPass()"; } def TFXLADeviceSpecificTransforms : Pass<"tfxla-device-specific-transforms",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 17:44:14 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/tfl_legalize_hlo.mlir
%9 = "mhlo.compare"(%arg1, %arg3) {comparison_direction = #mhlo<comparison_direction EQ>} : (tensor<f32>, tensor<f32>) -> tensor<i1> %10 = "mhlo.compare"(%arg2, %arg4) {comparison_direction = #mhlo<comparison_direction LT>} : (tensor<i32>, tensor<i32>) -> tensor<i1> %11 = mhlo.and %9, %10 : tensor<i1> %12 = mhlo.or %7, %11 : tensor<i1> %13 = "mhlo.select"(%12, %arg2, %arg4) : (tensor<i1>, tensor<i32>, tensor<i32>) -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-communication.mlir
"tf.XlaSendToHost"(%arg0) {key = "send2"} : (tensor<i32>) -> () func.return } // CHECK: func private @callee([[CALLEE_ARG0:%.*]]: !mhlo.token) -> !mhlo.token func.func private @callee() { // CHECK-NOT: mhlo.create_token // CHECK: [[ZERO:%.*]] = mhlo.constant dense<0> %0 = mhlo.constant dense<0> : tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 18:24:20 UTC 2024 - 38.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-quant.mlir
// CHECK: %[[QUANT0:.*]] = mhlo.uniform_quantize %[[ARG:.*]] : (tensor<?xf32>) -> tensor<?x!quant.uniform<i8:f32, 1.000000e+00:3>> // CHECK: %[[CONVERT_1:.*]] = mhlo.bitcast_convert %[[QUANT0]] : (tensor<?x!quant.uniform<i8:f32, 1.000000e+00:3>>) -> tensor<?xi8> // CHECK: mhlo.while() // CHECK: cond // CHECK: %[[CHECK_RES:.*]] = chlo.broadcast_compare // CHECK: mhlo.return %[[CHECK_RES]] : tensor<i1>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 01:25:29 UTC 2024 - 37.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/tf_stablehlo_pass.cc
#include "tensorflow/compiler/mlir/tf2xla/transforms/passes.h" #include "xla/mlir_hlo/mhlo/IR/hlo_ops.h" #include "xla/mlir_hlo/mhlo/IR/register.h" #include "xla/mlir_hlo/mhlo/transforms/passes.h" #include "xla/mlir_hlo/mhlo/transforms/rewriters.h" #include "xla/mlir_hlo/mhlo/utils/type_conversion.h" namespace mlir { namespace odml { class TFToMhloPass
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 7.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/fold_broadcast.mlir
// CHECK-DAG: %[[RES:.*]] = mhlo.constant dense<{{\[\[\[\[}}1, 4, 9, 16], [5, 12, 21, 32]]]]> : tensor<1x1x2x4xi32> %cst0 = mhlo.constant dense<[1, 2, 3, 4]> : tensor<4xi32> %cst1 = mhlo.constant dense<[[[[1, 2, 3, 4], [5, 6, 7, 8]]]]> : tensor<1x1x2x4xi32> %0 = "mhlo.broadcast_in_dim"(%cst0) <{broadcast_dimensions = dense<3> : tensor<1xi64>}> : (tensor<4xi32>) -> tensor<1x1x2x4xi32> %1 = mhlo.multiply %0, %cst1 : tensor<1x1x2x4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 4.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/fuse_mhlo_convolution.mlir
// CHECK-DAG: %[[FILTER:.+]] = mhlo.constant dense<{{\[\[\[\[}}1.000000e+00, 2.000000e+00], [3.000000e+00, 4.000000e+00], [5.000000e+00, 6.000000e+00]]]]> : tensor<1x1x3x2xf32> // CHECK-DAG: %[[CST_0:.+]] = mhlo.constant dense<[1.000000e-01, 2.000000e-01]> : tensor<2xf32> // CHECK-DAG: %[[CST_1:.+]] = mhlo.constant dense<[3.000000e-01, 4.000000e-01]> : tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 4.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/tf_xla_passes.td
return } ``` This might be legalized like this: ```mlir func @send_to_host(%arg0: tensor<i32>) { %0 = "mhlo.create_token"() : () -> !mhlo.token %1 = "mhlo.send"(%arg0, %0) {...}} : (tensor<i32>, !mhlo.token) -> !mhlo.token return } ''' }];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 05:56:39 UTC 2023 - 1.7K bytes - Viewed (0)