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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK: %[[REDUCED:.*]] = mhlo.reduce(%[[CAST]] init: %[[INITIAL]]) applies mhlo.maximum across dimensions = [1] : (tensor<4x8xf16>, tensor<f16>) -> tensor<4xf16> // CHECK: %[[CAST_BACK:.*]] = mhlo.convert %[[REDUCED]] : tensor<4xf16> // CHECK: %[[RESULT:.*]] = mhlo.reshape %[[CAST_BACK]] : (tensor<4xf16>) -> tensor<4x1xf16> // CHECK: return %[[RESULT]] : tensor<4x1xf16>
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/lite/tests/optimize.mlir
func.func @broadcast_to_i16_low_dim(%arg0: tensor<3xi16>, %arg1: tensor<2xi32>) -> tensor<3x3xi16> { %0 = "tfl.broadcast_to"(%arg0, %arg1) : (tensor<3xi16>, tensor<2xi32>) -> tensor<3x3xi16> return %0 : tensor<3x3xi16> // CHECK: %cst = arith.constant dense<1> : tensor<3x3xi16> // CHECK: %0 = tfl.mul(%arg0, %cst) <{fused_activation_function = "NONE"}> : (tensor<3xi16>, tensor<3x3xi16>) -> tensor<3x3xi16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
func.return %4#0, %4#1 : tensor<4x32xf32>, tensor<4x32xi32> } // CHECK-LABEL: func @convert_argmin_i16( // CHECK-SAME: %[[VAL_0:.*]]: tensor<2xi16>) -> (tensor<i16>, tensor<i32>) { // CHECK: %[[VAL_9:.*]] = arith.constant dense<0> : tensor<1xi32> // CHECK: %[[VAL_10:.*]] = "tf.Min"(%[[VAL_0]], %[[VAL_9]]) <{keep_dims = false}> : {{.*}} -> tensor<i16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0)