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Results 11 - 20 of 77 for 2xf64 (0.38 sec)
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tensorflow/compiler/mlir/lite/experimental/tac/tests/get-op-cost.mlir
%cst = arith.constant dense<[2, 100]> : tensor<2xi64> // CHECK: tac.cost = 4.000000e+01 %0 = "tfl.concatenation"(%arg0, %arg1) {axis = 0 : i32, fused_activation_function = "NONE", tac.device = "GPU"} : (tensor<100xf32>, tensor<100xf32>) -> tensor<200xf32> // CHECK: tac.cost = 4.040000e+01 %1 = "tfl.reshape"(%0, %cst) {tac.device = "GPU"} : (tensor<200xf32>, tensor<2xi64>) -> tensor<2x100xf32> func.return %1 : tensor<2x100xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:29:10 UTC 2022 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/prepare_tpu_computation_for_tf_export.mlir
func.return %0#0 : tensor<*xf32> } // CHECK-LABEL: @RewriteSendRecvOps
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 18:46:36 UTC 2024 - 9.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/fuse-tftext.mlir
%13 = "tf.StridedSlice"(%arg1, %7, %6, %8) {begin_mask = 1 : i64, device = "", ellipsis_mask = 0 : i64, end_mask = 0 : i64, new_axis_mask = 0 : i64, shrink_axis_mask = 0 : i64} : (tensor<3xi64>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<2xi64> %14 = "tf.Sub"(%12, %13) {device = ""} : (tensor<2xi64>, tensor<2xi64>) -> tensor<2xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 460.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
func.func @stridedSliceGrad(%dy: tensor<4x8xf32>, %begin: tensor<2xi64>, %end: tensor<2xi64>, %strides: tensor<2xi64>, %shape: tensor<2xi64>) -> tensor<?x?xf32> { // CHECK: tf.StridedSliceGrad %0 = "tf.StridedSliceGrad"(%shape, %begin, %end, %strides, %dy) : (tensor<2xi64>, tensor<2xi64>, tensor<2xi64>, tensor<2xi64>, tensor<4x8xf32>) -> tensor<?x?xf32> func.return %0 : tensor<?x?xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-prefer-tf2xla.mlir
%sizes = "tf.Const"() {value = dense<[1, 4]> : tensor<2xi64>} : () -> (tensor<2xi64>) %0 = "tf.Slice"(%arg0, %arg1, %sizes) : (tensor<3x4xi32>, tensor<2xi64>, tensor<2xi64>) -> tensor<1x4xi32> func.return %0 : tensor<1x4xi32> } // CHECK-LABEL: slice_variable_start_negsize func.func @slice_variable_start_negsize(%arg0: tensor<3x4xi32>, %arg1: tensor<2xi32>) -> tensor<1x4xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 15.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_tf_xla_op_to_tf_op.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf-no-runtime-verification.mlir
// RUN: tf-opt %s -tfl-prepare-tf -tfl-legalize-tf='run-tfl-runtime-verification=false' -tfl-optimize | FileCheck %s func.func @broadcast_to_bf16(%arg0: tensor<3xbf16>, %arg1: tensor<2xi64>) -> tensor<3x3xbf16> { %0 = "tf.BroadcastTo"(%arg0, %arg1) : (tensor<3xbf16>, tensor<2xi64>) -> tensor<3x3xbf16> func.return %0: tensor<3x3xbf16> // CHECK-LABEL: broadcast_to_bf16 // CHECK: [[CST:%.*]] = arith.constant dense<1.000000e+00> : tensor<3x3xbf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 648 bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_tf_drq.mlir
%range_nume = "tf.Sub"(%r_max_f64, %r_min_f64) : (tensor<1xf64>, tensor<1xf64>) -> tensor<1xf64> %range_deno = "tf.Sub"(%i8_max_f64, %i8_min_f64) : (tensor<f64>, tensor<f64>) -> tensor<f64> %scale_f64 = "tf.Div"(%range_nume, %range_deno) : (tensor<1xf64>, tensor<f64>) -> tensor<1xf64> %scale = "tf.Cast"(%scale_f64) : (tensor<1xf64>) -> tensor<1xf32> // Add comparison with minimum if needed
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 15:43:38 UTC 2023 - 12.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
%0 = mhlo.composite "aten.avg_pool2d.default" %arg0 {composite_attributes = {ceil_mode = false, count_include_pad = true, divisor_override = "py_None", kernel_size = dense<3> : tensor<2xi64>, padding = dense<0> : tensor<2xi64>, stride = dense<1> : tensor<2xi64>}, decomposition = @XlaCallModule_aten.avg_pool2d.default.impl_0} : (tensor<1x3x6x6xf32>) -> tensor<1x3x4x4xf32> %1 = "tf.Identity"(%0) {device = ""} : (tensor<1x3x4x4xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK-DAG: %[[VAL_2:.*]] = "tf.Const"() <{value = dense<[1, 0]> : tensor<2xi64>}> : () -> tensor<2xi64> // CHECK-DAG: %[[VAL_3:.*]] = "tf.Const"() <{value = dense<[1, 0]> : tensor<2xi64>}> : () -> tensor<2xi64> // CHECK: %[[VAL_4:.*]] = "tf.Transpose"(%[[VAL_0]], %[[VAL_3]]) : (tensor<2x3xf32>, tensor<2xi64>) -> tensor<3x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0)