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Results 11 - 20 of 21 for 1x112x112x32xf32 (0.23 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
%dconv_s = "quantfork.stats"(%dconv) {layerStats = dense<[0.000000e+00, 1.000000e+01]> : tensor<2xf32>} : (tensor<1x112x112x64xf32>) -> tensor<1x112x112x64xf32> %bmm = "tfl.batch_matmul"(%conv_s, %dconv_s) {adj_x = false, adj_y = true} : (tensor<1x112x112x64xf32>, tensor<1x112x112x64xf32>) -> tensor<1x112x112x112xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range.mlir
%bmm = "tfl.batch_matmul"(%conv, %dconv) {adj_x = false, adj_y = true} : (tensor<1x112x112x64xf32>, tensor<1x112x112x64xf32>) -> tensor<1x112x112x112xf32> func.return %bmm, %emb : tensor<1x112x112x112xf32>, tensor<3x3x3x3xf32> // CHECK-DAG: %[[b:.*]] = arith.constant dense<-1.23697901> : tensor<64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 23 21:09:00 UTC 2024 - 23.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
func.return %dc : tensor<1x112x112x32xf32> } // ----- // CHECK-LABEL: testRandomUniform func.func @testRandomUniform(%arg0: tensor<3xi32>) -> tensor<?x?x?xf32> { // CHECK: "tfl.random_uniform"(%arg0)
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/lite/tests/prepare-tf.mlir
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/layout_optimization_move_transposes_end.mlir
exponential_avg_factor = 1.0 : f32, is_training = false } : (tensor<1x112x112x64xf32>, tensor<64xf32>, tensor<64xf32>, tensor<64xf32>, tensor<64xf32>) -> (tensor<1x112x112x64xf32>, tensor<64xf32>, tensor<64xf32>, tensor<64xf32>, tensor<64xf32>, tensor<64xf32>) func.return %2#0 : tensor<1x112x112x64xf32> } // CHECK-LABEL: func @fold_into_pad_with_extra_uses
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/lite/stablehlo/tests/optimize_layout.mlir
// CHECK-SAME: %[[INPUT:.*]]: tensor<1x112x112x64xf32>, // CHECK-SAME: %[[PAD_VAL:.*]]: tensor<f32>) -> tensor<1x64x114x114xf32> { // CHECK: %[[PAD:.*]] = stablehlo.pad %[[INPUT]], %[[PAD_VAL]], // CHECK: low = [0, 1, 1, 0], high = [0, 1, 1, 0], interior = [0, 0, 0, 0] // CHECK: : (tensor<1x112x112x64xf32>, tensor<f32>) -> tensor<1x114x114x64xf32>
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/tf_optimize.mlir
// RUN: tf-opt %s -tf-optimize | FileCheck %s // CHECK-LABEL: @fuseMulIntoConv2d func.func @fuseMulIntoConv2d(%arg0: tensor<1x112x112x3xf32>) -> tensor<1x28x23x2xf32> { %cst0 = arith.constant dense<[[[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], [[7.0, 8.0], [9.0, 10.0], [11.0, 12.0]], [[13.0, 14.0], [15.0, 16.0], [17.0, 18.0]]]]> : tensor<1x3x3x2xf32> %cst2 = arith.constant dense<[1.0, 2.0]> : tensor<2xf32>
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/lite/tests/optimize.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_space_to_depth_pass.mlir
// CHECK-DAG: %[[SPACETODEPTH0:.*]] = "tf.SpaceToDepth"([[INPUT:.*]]) <{block_size = 2 : i64, data_format = "NHWC"}> : (tensor<2x224x224x3xf32>) -> tensor<2x112x112x12xf32> %2 = "tf.AddV2"(%arg2, %arg3) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i32> %3 = "tf.ReadVariableOp"(%arg6) : (tensor<!tf_type.resource<tensor<7x7x3x64xf32>>>) -> tensor<7x7x3x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 37.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
%space_to_depth = "tf.SpaceToDepth"(%input) {block_size = 2, ...}: (tensor<2x224x224x3xf32>) -> tensor<2x112x112x12xf32> %device_launch = "tf_device.cluster_func"(%space_to_depth,...) {func = @_func,...) return ... } func @_func(%input: tensor<2x112x112x12xf32>, %filter: tensor<7x7x3x64xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0)