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Results 31 - 40 of 60 for conv_2d (0.15 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 15.2K 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/tensorflow/tests/fused_kernel_matcher.mlir
// RUN: tf-opt %s -tf-fused-kernel-matcher | FileCheck %s //===----------------------------------------------------------------------===// // Conv2D + BiasAdd + <Activation> fusions. //===----------------------------------------------------------------------===// // CHECK-LABEL: conv2DBiasAdd_noActivation func.func @conv2DBiasAdd_noActivation(%arg0: tensor<128xf32>, %arg1: tensor<1x1x3x128xf32>, %arg2: tensor<8x32x32x3xf32>) -> (tensor<*xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 13.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library.mlir
equation = "", attr_map = "equation:0" } : (tensor<*xi32>, tensor<*xi32>) -> tensor<*xi32> func.return %4 : tensor<*xi32> } for main_op in ["Conv2D", "DepthwiseConv2D", "MatMul", "Conv3D", "BatchMatMul", "Einsum"] { parameters[ {"quantized_ops": ["${main_op}", "BiasAdd"], "act_func": "internal_requantize_no_activation_fn", "output_type": "i8"},
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jan 08 01:16:10 UTC 2024 - 30.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_default.mlir
%cst_0 = "tf.Const"() {value = dense<-1.000000e+00> : tensor<f32>} : () -> tensor<f32> %cst_1 = "tf.Const"() {value = dense<1.000000e+00> : tensor<f32>} : () -> tensor<f32> %0 = "tf.Conv2D"(%arg0, %cst) {data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 1, 1]} : (tensor<1x3x4x3xf32>, tensor<1x1x3x2xf32>) -> tensor<1x3x4x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/fused_kernel_matcher.cc
// Performs a fusion of the following pattern(s), if possible: // Conv2D + BiasAdd + <Activation> -> _FusedConv2D class FuseConv2DBiasAdd : public FuseContractionWithBiasAdd<Conv2DOp, _FusedConv2DOp> { public: using FuseContractionWithBiasAdd<Conv2DOp, _FusedConv2DOp>::FuseContractionWithBiasAdd; // Verify that the Conv2D and BiasAdd data formats match. This is necessary
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.td
def IsEinsumOpSupported : Constraint< CPred<"IsEinsumOpSupported($0, $1, $2)">, "Check if the given einsum op could be converted into a XlaDotV2 op.">; // Converts inlined Conv2D pattern to TF XlaConvV2 op. This pattern doesn't // support non-constant weights. def ConvertTFConv2DToXLAConvOp : Pat< (TF_Conv2DOp:$conv (TF_SubOp (TF_CastOp $input, $truncate), $input_zp),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Dec 10 05:52:02 UTC 2023 - 21.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/components/tf_to_stablehlo.mlir
%cst_1 = "tf.Const"() {value = dense<[0.1, 0.2]> : tensor<2xf32>} : () -> tensor<2xf32> %cst_2 = "tf.Const"() {value = dense<[0.3, 0.4]> : tensor<2xf32>} : () -> tensor<2xf32> %0 = "tf.Conv2D"(%arg_0, %cst_0) {data_format = "NHWC", dilations = [1, 1, 2, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x3x2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 08 20:05:12 UTC 2024 - 13.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/add_dump_tensor_op.mlir
// IntPerLayer-DAG: "tf.DumpTensor"(%[[output0_unquantized]]) <{enabled = true, file_name = "unquantized_tensor_data.pb", func_name = "multiple_conv2d", log_dir_path = "/tmp/dumps/composite_conv2d_with_bias_and_relu6_fn_2", node_name = "Conv2D"}>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 22:55:22 UTC 2024 - 37.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/debuginfo/v1_1.0_224_frozen.wrong_attr.line.part.pbtxt
} } attr { key: "_class" value { list { s: "loc:@MobilenetV1/Conv2d_0/weights" } } } } node { name: "MobilenetV1/MobilenetV1/Conv2d_0/Conv2D" op: "Conv2D" input: "input" input: "MobilenetV1/Conv2d_0/weights/read" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 27 18:59:05 UTC 2023 - 16.2K bytes - Viewed (0)