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Results 11 - 20 of 101 for conv2 (0.05 sec)
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platforms/software/dependency-management/src/test/groovy/org/gradle/internal/component/local/model/LocalComponentGraphResolveStateFactoryTest.groovy
def file3 = new File("artifact-3.zip") def conf1 = dependencyScope("conf1") def conf2 = dependencyScope("conf2") def child1 = consumable("child1", [conf1, conf2]) consumable("child2", [conf1]) addArtifact(conf1, artifact1, file1) addArtifact(conf2, artifact2, file2) addArtifact(child1, artifact3, file3) when:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed May 22 19:04:04 UTC 2024 - 15.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
// Unsupported data format %1 = "tf.Conv2D"(%arg2, %arg1) {T = "tfdtype$DT_FLOAT", data_format = "NCHW", dilations = [1, 1, 1, 1], padding = "SAME", strides = [1, 1, 1, 1]} : (tensor<256x3x32x32xf32>, tensor<3x3x3x16xf32>) -> tensor<256x16x32x32xf32> // OK
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/transforms/tpu_space_to_depth_pass.cc
} } // Handle Conv2D input, stride and filter. HandleConv2DInput(conv2d, block_size); HandleConv2DStride(conv2d); HandleConv2DFilter(conv2d, block_size); // Book keeping new filter shape for backprop filter rewrite. // Filter shape is defined in HandleConv2DFilter, thus it is RankedTensorType. filter_shape = mlir::cast<RankedTensorType>(conv2d.getFilter().getType()).getShape();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 29.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/dilated_conv.h
// // // SpaceToBatchND -> Expand -> Conv2D -> Squeeze -> BatchToSpaceND -> BiasAdd // // SpaceToBatchND -> Expand -> Conv2D -> Squeeze -> Pad -> BatchToSpaceND -> // BiasAdd // // SpaceToBatchND -> Expand -> Conv2D -> Squeeze -> BiasAdd -> BatchToSpaceND // // SpaceToBatchND -> Conv2D -> Pad -> BatchToSpaceND -> BiasAdd // // SpaceToBatchND -> Conv2D -> BatchToSpaceND -> BiasAdd // //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 20K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-tfl-stablehlo-conv.mlir
Michael Levesque-Dion <******@****.***> 1706075999 -0800
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 24 06:08:43 UTC 2024 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/optimize.mlir
%zp_offset: tensor<?x2x2x1xi32>, %bias: tensor<1xi32> ) -> tensor<?x2x2x1xi32> { // CHECK-DAG: %[[conv:.*]] = mhlo.convolution // CHECK-DAG: %[[combined:.*]] = chlo.broadcast_add %[[zp_offset:.*]], %[[bias:.*]] // CHECK-DAG: %[[result:.*]] = chlo.broadcast_add %[[conv]], %[[combined]] // CHECK: return %[[result]] %0 = mhlo.convolution(%lhs, %rhs) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 24 02:26:47 UTC 2024 - 10.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: %[[CONV:.*]] = "tf.Conv2D"(%[[SLICED_ARG0]], %[[ARG1]]) // CHECK-SAME: explicit_paddings = [0, 0, 4, 0, 0, 2, 0, 0] // CHECK-SAME: (tensor<128x5x4x64xf32>, tensor<3x2x64x4xf32>) -> tensor<128x4x3x4xf32> // CHECK: return %[[CONV]] : tensor<128x4x3x4xf32> // CHECK: }
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/lite/tests/quantize-dynamic-range.mlir
%b = arith.constant dense<-1.23697901> : tensor<64xf32> %conv = "tfl.conv_2d"(%arg0, %w, %b) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<1x224x224x3xf32>, tensor<64x3x3x3xf32>, tensor<64xf32>) -> tensor<1x112x112x64xf32> func.return %conv : tensor<1x112x112x64xf32>
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/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jan 08 01:16:10 UTC 2024 - 25.2K bytes - Viewed (0)