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Results 11 - 15 of 15 for 256x30x30x16xf32 (0.17 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
// Unsupported strides %3 = "tf.DepthwiseConv2dNative"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 1, 1, 1], padding = "SAME", strides = [2, 1, 1, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x4xf32>) -> tensor<256x30x30x12xf32>
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/lite/tests/flatbuffer2mlir/import_json.json
// CHECK: return %[[RES0]] : tensor<256x32x32x16xf32> { "version": 3, "operator_codes": [ { "builtin_code": "CONV_2D" } ], "subgraphs": [ { "tensors": [ { "shape": [
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/get-op-cost.mlir
func.return %0 : tensor<256x32x32x16xf32> } func.func @testConv2DGPU(tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, tensor<16xf32>) -> tensor<256x32x32x16xf32> { ^bb0(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>): // CHECK: tac.cost = 0x4C300000
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:29:10 UTC 2022 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/optional_input.json
// CHECK: return %[[RES0]] : tensor<256x32x32x16xf32> { "version": 3, "operator_codes": [ { "builtin_code": "CONV_2D" } ], "subgraphs": [ { "tensors": [ {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.8K 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)