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Results 1 - 9 of 9 for 1x112x112x64xf32 (0.15 sec)
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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: : (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>
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/lite/tests/get-arithmetic-count.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 14 04:58:17 UTC 2022 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/default_quant_params.mlir
%7 = "tfl.quantize"(%6) {qtype = tensor<1x112x112x32x!quant.uniform<u8:f32, 1.0>>} : (tensor<1x112x112x32xf32>) -> tensor<1x112x112x32x!quant.uniform<u8:f32, 1.0>> func.return %7 : tensor<1x112x112x32x!quant.uniform<u8:f32, 1.0>> // CHECK: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %arg1, %arg2) // CHECK-SAME: -> tensor<1x112x112x32x!quant.uniform<u8:f32, 0.0078431372549019607:128>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 8.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize.mlir
func.return %3, %6 : tensor<?xf32>, tensor<?xf32> } // ----- // CHECK-LABEL: func @skip_nan_inf_constant // CHECK-SAME: (%[[ARG_0:.*]]: tensor<?x112x112x64xf32>) -> tensor<?x56x56x64xf32> func.func @skip_nan_inf_constant(%arg0: tensor<?x112x112x64xf32>) -> tensor<?x56x56x64xf32> { // CHECK-DAG: %[[cst0:.*]] = stablehlo.constant dense<0xFF800000> : tensor<f32
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 19:52:06 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/target-annotation.mlir
func.return %0 : tensor<1x112x112x32xf32> } // ----- func.func @testAvgPool(%arg0: tensor<256x32x32x3xf32>) -> tensor<256x30x30x16xf32> { // CHECK: tac.device = "GPU", tac.inference_type = "FLOAT"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 19 19:32:06 UTC 2023 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/depthwise_conv2d.mlir
func.return %3 : tensor<1x112x112x32xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/depthwise_conv2d_v2.mlir
func.return %3 : tensor<1x112x112x32xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 9.1K 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)