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Results 31 - 39 of 39 for dilation_h (0.17 sec)
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tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel.pbtxt
attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel_4bit.pbtxt
attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
%0 = "tf.Conv2DBackpropInput"(%arg0, %arg1, %arg2) {strides = [1, 2, 2, 1], padding="SAME", dilations=[1, 1, 1, 1]}: (tensor<4xi32>, tensor<3x3x1x32xf32>, tensor<15x14x14x32xf32>) -> tensor<15x28x28x1xf32> %1 = "tf.Conv2DBackpropInput"(%arg0, %arg1, %arg2) {strides = [1, 2, 2, 1], padding="VALID", dilations=[1, 1, 1, 1]}: (tensor<4xi32>, tensor<3x3x1x32xf32>, tensor<15x14x14x32xf32>) -> tensor<15x28x28x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-SAME: batch_group_count = 1 // CHECK-SAME: feature_group_count = 2 %0 = "tf.Conv2D"(%arg0, %arg1) {data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x6xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32> func.return %0 : tensor<256x8x7x16xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_patterns.td
IsIntList1XY1:$strides, BoolAttr:$use_cudnn_on_gpu, IsSameOrValid:$padding, I64ArrayAttr:$explicit_paddings, IsDataFormatNHWC:$data_format, IsAllOnes:$dilations), (TFL_TransposeConvOp $input_sizes, (TFL_TransposeOp $filter, (Arith_ConstantOp ConstantAttr<I32VectorElementsAttr<4>, "{2, 0, 1, 3}">)), $out_backprop, /*bias=*/ (CreateNoneValue $input_sizes),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 28.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
verify_size(window_strides.size(), "window strides") && verify_size(padding.size(), "padding entries") && verify_size(lhs_dilation.size(), "lhs dilation factors") && verify_size(rhs_dilation.size(), "rhs dilation factors"))) return std::nullopt; xla::Window window; for (size_t i = 0; i < window_dimensions.size(); i++) { auto dim = window.add_dimensions();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
Arg<TF_I32OrI64Tensor, [{the padding to apply at the start and end of each input dimensions}]>:$padding, Arg<TF_I32OrI64Tensor, [{dilation to apply between input elements}]>:$lhs_dilation, Arg<TF_I32OrI64Tensor, [{dilation to apply between kernel elements}]>:$rhs_dilation, Arg<TF_I32OrI64Tensor, [{number of feature groups for grouped convolution.}]>:$feature_group_count,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
TCresVTEtIsSameAsOpBase<0, 2>>, Pure]> { let summary = "Dilation operator"; let description = "Extends a tensor by adding new elements between the existing ones."; let arguments = (ins TFL_TensorOf<[I8, I16, I32, I64, UI8, UI16, UI32, UI64, F32, F64]>:$input, TFL_TensorOf<[I32]>:$dilations, TFL_0DTensorOf<[I8, I16, I32, I64, UI8, UI16, UI32, UI64, F32, F64]>:$padding_value );
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
RELEASE.md
* (since v2.7) `tf.math.bincount` * (since v2.7) `tf.nn.depthwise_conv2d` backprop to `filter` when not using cuDNN convolution * (since v2.7) `tf.nn.dilation2d` gradient * (since v2.7) `tf.nn.max_pool_with_argmax` gradient * (since v2.7) `tf.raw_ops.DebugNumericSummary` and `tf.raw_ops.DebugNumericSummaryV2`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)