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Results 1 - 10 of 12 for 5x7x9xf32 (0.52 sec)
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tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir
// CHECK: %[[v1:.*]] = "tf.Transpose"(%arg1, %[[cst_0]]) : (tensor<5x3x2xf32>, tensor<3xi32>) -> tensor<5x2x3xf32> // CHECK: %[[v2:.*]] = "tf.BatchMatMulV2"(%[[v0]], %[[v1]]) <{adj_x = false, adj_y = false}> : (tensor<5x7x2xf32>, tensor<5x2x3xf32>) -> tensor<5x7x3xf32> // CHECK: %[[v3:.*]] = "tf.Transpose"(%[[v2]], %[[cst_0]]) : (tensor<5x7x3xf32>, tensor<3xi32>) -> tensor<5x3x7xf32> }
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/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/tensor_list_ops_decomposition.mlir
%gather = "tf.TensorListGather"(%tl, %arg1, %elem_shape) : (tensor<!tf_type.variant<tensor<8x9xf32>>>, tensor<3xi32>, tensor<2xi32>) -> tensor<3x8x9xf32> // CHECK-NEXT: return %[[GATHER]] : tensor<3x8x9xf32> func.return %gather: tensor<3x8x9xf32> } // ----- // Test scatter into existing tensor list.
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/tensorflow/tests/fold-broadcast.mlir
func.func @broadcast_mul0(%arg0: tensor<5x7xf32>, %arg1: tensor<7xf32>) -> tensor<5x7xf32> { %cst = arith.constant dense<[5, 7]> : tensor<2xi32> %0 = "tf.BroadcastTo"(%arg1, %cst) : (tensor<7xf32>, tensor<2xi32>) -> tensor<5x7xf32> %1 = "tf.Mul"(%arg0, %0) : (tensor<5x7xf32>, tensor<5x7xf32>) -> tensor<5x7xf32> func.return %1 : tensor<5x7xf32> // CHECK: %[[V0:.*]] = "tf.Mul"(%arg0, %arg1) : (tensor<5x7xf32>, tensor<7xf32>) -> tensor<5x7xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/unroll_batch_matmul.pbtxt
# CHECK: %[[VAL_11:.*]] = "tfl.fully_connected"(%[[VAL_7]]#1, %[[VAL_9]], %[[VAL_3]]) <{fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"}> : (tensor<1x5x3xf32>, tensor<7x3xf32>, none) -> tensor<5x7xf32> # CHECK: %[[VAL_12:.*]] = "tfl.pack"(%[[VAL_10]], %[[VAL_11]]) <{axis = 0 : i32, values_count = 2 : i32}> : (tensor<5x7xf32>, tensor<5x7xf32>) -> tensor<2x5x7xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_test.cc
func.func @main() -> (tensor<5x11xf32>) { %arg0 = "tf.Const"() {value = dense<-3.0> : tensor<5x7xf32>} : () -> tensor<5x7xf32> %arg1 = "tf.Const"() {value = dense<-3.0> : tensor<11x7xf32>} : () -> tensor<11x7xf32> %1 = "tf.MatMul"(%arg0, %arg1) {transpose_a = false, transpose_b = true} : (tensor<5x7xf32>, tensor<11x7xf32>) -> tensor<5x11xf32> func.return %1 : tensor<5x11xf32> } })";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 23:59:33 UTC 2024 - 16.1K bytes - Viewed (0) -
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/lite/tests/canonicalize.mlir
} // ----- func.func @trivial_dynamic_update_slice_wrong_update_shape(%arg0: tensor<2x7x14xf32>, %arg1: tensor<2x7x7xf32>) -> tensor<2x7x14xf32> { %0 = arith.constant dense<0> : tensor<3xi32> %1 = "tfl.dynamic_update_slice"(%arg0, %arg1, %0) : (tensor<2x7x14xf32>, tensor<2x7x7xf32>, tensor<3xi32>) -> tensor<2x7x14xf32> // CHECK: "tfl.dynamic_update_slice" func.return %1 : tensor<2x7x14xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/tfl_legalize_hlo.mlir
// RUN: odml-to-stablehlo-opt %s -tfl-legalize-hlo -split-input-file | FileCheck %s --dump-input=fail func.func @main(%arg0: tensor<5x7xf32>) -> tensor<5x7xf32> { func.return %arg0: tensor<5x7xf32> // CHECK-LABEL: main // CHECK: return %arg0 : tensor<5x7xf32> } // - transpose // func.func @transpose_2d(%arg0: tensor<2x3xf32>) -> tensor<3x2xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
} func.func @scatterNdVectorIndices(%arg0: tensor<5x1xi32>, %arg1: tensor<5x3x2xf32>) -> tensor<10x3x2xf32> { %cst = "tf.Const"() { value = dense<[10, 3, 2]> : tensor<3xi32> } : () -> tensor<3xi32> %1 = "tf.ScatterNd"(%arg0, %arg1, %cst) : (tensor<5x1xi32>, tensor<5x3x2xf32>, tensor<3xi32>) -> tensor<10x3x2xf32> func.return %1 : tensor<10x3x2xf32> // CHECK-LABEL:scatterNdVectorIndices
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0)