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Results 91 - 100 of 178 for conv_2d (0.41 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_drq.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_optimize.mlir
%cst2 = arith.constant dense<[1.0, 2.0]> : tensor<2xf32> %0 = "tf.Conv2D"(%arg0, %cst0) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<1x112x112x3xf32>, tensor<1x3x3x2xf32>) -> tensor<1x28x23x2xf32>
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/jit/tests/keras_imagenet_main_graph_mode.pbtxt
} tensor_content: "\007\000\000\000\007\000\000\000\003\000\000\000@\000\000\000" } } } } node { name: "conv1_1/Conv2D" op: "Conv2D" input: "conv1_pad_1/Pad" input: "conv1_1/Conv2D/ReadVariableOp" device: "/job:localhost/replica:0/task:0/device:GPU:0" attr { key: "T" value { type: DT_FLOAT } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 30 02:52:54 UTC 2019 - 1.1M bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-default-attr.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 10 19:32:15 UTC 2020 - 12K 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), $input_zp),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Dec 10 05:52:02 UTC 2023 - 21.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/components/tf_to_stablehlo.mlir
%cst_1 = "tf.Const"() {value = dense<[0.1, 0.2]> : tensor<2xf32>} : () -> tensor<2xf32> %cst_2 = "tf.Const"() {value = dense<[0.3, 0.4]> : tensor<2xf32>} : () -> tensor<2xf32> %0 = "tf.Conv2D"(%arg_0, %cst_0) {data_format = "NHWC", dilations = [1, 1, 2, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x3x2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 08 20:05:12 UTC 2024 - 13.6K bytes - Viewed (0) -
test/codegen/ifaces.go
// license that can be found in the LICENSE file. package codegen type I interface{ M() } func NopConvertIface(x I) I { // amd64:-`.*runtime.convI2I` return I(x) } func NopConvertGeneric[T any](x T) T { // amd64:-`.*runtime.convI2I` return T(x) } var NopConvertGenericIface = NopConvertGeneric[I] func ConvToM(x any) I {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Oct 06 17:02:53 UTC 2023 - 621 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/tf_to_quant.mlir
%fq = "tf.FakeQuantWithMinMaxVars"(%in, %mini, %maxi) {num_bits = 5, narrow_range = false} : (tensor<3x3x3x16xf32>, tensor<f32>, tensor<f32>) -> tensor<3x3x3x16xf32> %rst = "tf.Conv2D"(%arg, %fq) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32>
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/tf-tfl-translate-serialize-stablehlo-conv.mlir
module { func.func @main(%arg0: tensor<4x68x68x3xf32>, %arg1: tensor<5x5x3x8xf32>) -> tensor<4x64x64x8xf32> { %0 = "tf.Conv2D"(%arg0, %arg1) {padding = "VALID", strides = [1, 1, 1, 1]} : (tensor<4x68x68x3xf32>, tensor<5x5x3x8xf32>) -> tensor<4x64x64x8xf32> func.return %0 : tensor<4x64x64x8xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Feb 27 23:35:37 UTC 2023 - 425 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
in the flatbuffer. }]; let arguments = (ins I32Attr:$buffer_index); let results = (outs AnyTensor:$output); } def TFL_Conv2DOp : TFL_ConvOp<"conv_2d", "Convolution", 0, [DeclareOpInterfaceMethods<InferTypeOpInterface>, DeclareOpInterfaceMethods<TFL_ArithmeticCount>, DynamicRangeQuantizedOpInterface]> { let arguments = (
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0)