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Results 1 - 2 of 2 for 1x16x6x6xf32 (0.1 sec)
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tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// Unsupported strides %2 = "tf.MaxPool"(%arg0) {T = "tfdtype$DT_FLOAT", data_format = "NCHW", ksize = [1, 1, 3, 6], padding = "VALID", strides = [1, 3, 3, 1]} : (tensor<1x16x6x6xf32>) -> tensor<1x16x1x1xf32> %5 = arith.addf %0, %1 : tensor<1x16x1x1xf32> %6 = arith.addf %2, %5 : tensor<1x16x1x1xf32> func.return %6 : tensor<1x16x1x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
// CHECK-LABEL: func @tfAssertTrue func.func @tfAssertTrue(%arg0: tensor<1x1x6x2xf32>) { %t = arith.constant dense<true> : tensor<i1> // CHECK-NOT: tf.Assert "tf.Assert"(%t, %arg0) {summarize = 3} : (tensor<i1>, tensor<1x1x6x2xf32>) -> () func.return } // CHECK-LABEL: func @tfAssertFalse func.func @tfAssertFalse(%arg0: tensor<1x1x6x2xf32>) { %f = arith.constant dense<false> : tensor<i1> // CHECK: tf.Assert
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0)