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Results 1 - 2 of 2 for 2x7x11x5xf32 (0.25 sec)
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tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir
} func.func @einsum_fourdtransposeall(%arg0: tensor<2x5x7x3xf32>, %arg1: tensor<2x11x7x3xf32>) -> tensor<2x7x11x5xf32> { %0 = "tf.Einsum"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", equation = "aecd,abcd->acbe"}: (tensor<2x5x7x3xf32>, tensor<2x11x7x3xf32>) -> tensor<2x7x11x5xf32> func.return %0 : tensor<2x7x11x5xf32> // CHECK-LABEL: einsum_fourdtransposeall // CHECK-DAG: %[[cst:.*]] = arith.constant dense<[0, 2, 1, 3]> : tensor<4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK: }) // CHECK-SAME: -> tensor<2x7x3x5xf32> // CHECK: [[COUNT:%.+]] = mhlo.constant dense<4.000000e+00> : tensor<f32> // CHECK: [[DIV_RESULT:%.+]] = chlo.broadcast_divide [[DIVIDEND]], [[COUNT]] // CHECK-SAME: broadcast_dimensions = array<i64> // CHECK-SAME: -> tensor<2x7x3x5xf32> // CHECK: [[CONV16:%.+]] = mhlo.convert [[DIV_RESULT]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)