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Results 1 - 4 of 4 for 1x64x112x112xf32 (0.2 sec)
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tensorflow/compiler/mlir/lite/stablehlo/tests/optimize_layout.mlir
// CHECK: : (tensor<1x114x114x64xf32>) -> tensor<1x64x114x114xf32> // CHECK: return %[[TPOS]] : tensor<1x64x114x114xf32> func.func @commute_transpose_pad( %arg0: tensor<1x112x112x64xf32>, %padding_val: tensor<f32>) -> tensor<1x64x114x114xf32> { %tspos = stablehlo.transpose %arg0, dims = [0, 3, 1, 2] : (tensor<1x112x112x64xf32>) -> tensor<1x64x112x112xf32> %ret = stablehlo.pad %tspos, %padding_val,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 21:59:06 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_move_transposes_end.mlir
// CHECK: %[[RES_TRANSPOSE:[0-9]*]] = "tf.Transpose"(%[[MAX_POOL]], %[[RES_PERM]]) // CHECK: return %[[RES_TRANSPOSE]] // Transpose NCHW -> NHWC %0 = "tf.Const"() {value = dense<[0, 2, 3, 1]> : tensor<4xi32>} : () -> tensor<4xi32> %1 = "tf.Transpose"(%arg0, %0) : (tensor<1x64x112x112xf32>, tensor<4xi32>) -> tensor<1x112x112x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_to_nhwc.mlir
func.return %0 : tensor<1x256x150x150xf32> } // CHECK-LABEL: maxpool_nchw func.func @maxpool_nchw(%arg0: tensor<1x64x112x112xf32>) -> tensor<1x64x56x56xf32> { // CHECK: %[[CST:.*]] = "tf.Const"() <{value = dense<[0, 2, 3, 1]> : tensor<4xi64>}> // CHECK: %[[R0:.*]] = "tf.Transpose"(%arg0, %[[CST]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_to_nhwc.mlir
is_training = false } : (tensor<?x64x112x112xf32>, tensor<64xf32>, tensor<64xf32>, tensor<64xf32>, tensor<64xf32>) -> (tensor<?x64x112x112xf32>, tensor<64xf32>, tensor<64xf32>, tensor<64xf32>, tensor<64xf32>, tensor<*xf32>) // CHECK: "tf.FusedBatchNormV3" // CHECK-SAME: data_format = "NHWC" %7 = "tf.Relu"(%6) : (tensor<?x64x112x112xf32>) -> tensor<?x64x112x112xf32> %8 = "tf.MaxPool"(%7) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 7.3K bytes - Viewed (0)