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Results 11 - 20 of 21 for 5x7x1xf32 (0.29 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
} // CHECK-LABEL: @StridedSliceEllipsisAndNewAxisMaskBothSet func.func @StridedSliceEllipsisAndNewAxisMaskBothSet(%arg0: tensor<6x7x8xf32>) -> tensor<2x1x7x8x1xf32> { %begin = arith.constant dense<0> : tensor<4xi32> %end = arith.constant dense<[2,3,4,5]> : tensor<4xi32> %step = arith.constant dense<1> : tensor<4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tensor_list_ops_decomposition.mlir
// Test scatter into existing tensor list. // CHECK-LABEL: func @main // CHECK-SAME: (%[[ARG0:.*]]: tensor<10x8x9xf32>, %[[ARG1:.*]]: tensor<5xi32>, %[[ARG2:.*]]: tensor<5x8x9xf32>) -> tensor<10x8x9xf32> func.func @main(%arg0: tensor<10x8x9xf32>, %arg1: tensor<5xi32>, %arg2: tensor<5x8x9xf32>) -> tensor<10x8x9xf32> { %elem_shape = "tf.Const"() {value = dense<[8, 9]> : tensor<2xi32>} : () -> tensor<2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-SAME: (%[[A:.*]]: tensor<5x7xf32>, %[[B:.*]]: tensor<7x11xf32>) func.func @matmul_notranspose(%a: tensor<5x7xf32>, %b: tensor<7x11xf32>) -> tensor<5x11xf32> { // CHECK: "mhlo.dot"(%[[A]], %[[B]]) %0 = "tf.MatMul"(%a, %b) {transpose_a = false, transpose_b = false} : (tensor<5x7xf32>, tensor<7x11xf32>) -> tensor<5x11xf32> func.return %0 : tensor<5x11xf32> } // -----
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/legalize-tf.mlir
// CHECK: return } func.func @pow(%arg0: tensor<2x1x3xf32>, %arg1: tensor<2x1x1xf32>) -> tensor<2x1x3xf32> { %0 = "tf.Pow"(%arg0, %arg1) : (tensor<2x1x3xf32>, tensor<2x1x1xf32>) -> tensor<2x1x3xf32> func.return %0 : tensor<2x1x3xf32> // CHECK-LABEL: pow // CHECK: %[[pow:.*]] = tfl.pow(%arg0, %arg1) : (tensor<2x1x3xf32>, tensor<2x1x1xf32>) -> tensor<2x1x3xf32> // CHECK: return }
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/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
// CHECK: %[[BROADCAST0:.*]] = "mhlo.broadcast_in_dim"(%arg0) <{broadcast_dimensions = dense<[1, 2]> : tensor<2xi64>}> : (tensor<4x1xf32>) -> tensor<4x4x1xf32> // CHECK: %[[RESHAPE0:.*]] = mhlo.reshape %[[BROADCAST0]] : (tensor<4x4x1xf32>) -> tensor<4x4xf32> // CHECK: %[[UPDATED_ARG0:.*]] = "mhlo.broadcast_in_dim"(%[[RESHAPE0]]) <{broadcast_dimensions = dense<[0, 1]> : tensor<2xi64>}> : (tensor<4x4xf32>) -> tensor<4x4x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (1) -
tensorflow/compiler/mlir/lite/tests/const-fold.mlir
func.func @div_dense_different_rank() -> tensor<1x2x2xf32> { %cst_0 = arith.constant dense<[[[1.0],[2.0]]]> : tensor<1x2x1xf32> %cst_1 = arith.constant dense<[[2.0, 3.0]]> : tensor<1x2xf32> %0 = "tfl.div"(%cst_0, %cst_1) {fused_activation_function = "NONE"} : (tensor<1x2x1xf32>, tensor<1x2xf32>) -> tensor<1x2x2xf32> func.return %0 : tensor<1x2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 45.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
func.func @testDilate(%arg0: tensor<3x4x5xf32>) -> tensor<5x7x9xf32> { // CHECK: "tfl.dilate"(%arg0, %cst, %cst_0) %cst = arith.constant dense<1> : tensor<3xi32> %cst_0 = arith.constant dense<-1.0> : tensor<f32> %0 = "tfl.dilate"(%arg0, %cst, %cst_0) : (tensor<3x4x5xf32>, tensor<3xi32>, tensor<f32>) -> tensor<5x7x9xf32> func.return %0 : tensor<5x7x9xf32> // CHECK: return %0 : tensor<5x7x9xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
func.func @foldFill() -> (tensor<3x2x1xf32>, tensor<*xf32>, tensor<*xcomplex<f32>>) { %0 = "tf.Const"() {value = dense<[3, 2, 1]> : tensor<3xi32>} : () -> tensor<3xi32> %1 = "tf.Const"() {value = dense<23.0> : tensor<f32>} : () -> tensor<f32> // CHECK-DAG: "tf.Const"() <{value = dense<2.300000e+01> : tensor<3x2x1xf32>}> %2 = "tf.Fill"(%0, %1) : (tensor<3xi32>, tensor<f32>) -> tensor<3x2x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
}) {device = "/device:CPU:0"} : () -> tensor<*xf32> // CHECK: "tf.Cast"(%{{.*}}) <{Truncate = false}> : (tensor<1x8x2xf32>) -> tensor<*xf32> // CHECK: (tensor<i32>, tensor<1x8x2xf32>) -> (tensor<1x8x1xf32>, tensor<1x8x1xf32>) %3:2 = "tf.Split"(%0, %1) {device = ""} : (tensor<i32>, tensor<*xf32>) -> (tensor<*xf32>, tensor<*xf32>) %4 = tensor.cast %1 : tensor<*xf32> to tensor<?x?x?xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0)