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Results 1 - 5 of 5 for 512x256xf32 (0.18 sec)
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tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir
} func.func @einsum_ellipsis(%arg0: tensor<1x512x128xf32>, %arg1: tensor<128x256xf32>) -> tensor<1x512x256xf32> { %0 = "tf.Einsum"(%arg0, %arg1) {device = "", equation = "...x,xy->...y"} : (tensor<1x512x128xf32>, tensor<128x256xf32>) -> tensor<1x512x256xf32> func.return %0 : tensor<1x512x256xf32> // CHECK-LABEL: einsum_ellipsis
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/tfl_while_outline.mlir
%0 = "tfl.batch_matmul"(%arg0, %cst_0) {adj_x = false, adj_y = false} : (tensor<1x256xf32>, tensor<256x256xi8>) -> tensor<1x256xf32> %1 = "tfl.batch_matmul"(%0, %cst_1) {adj_x = false, adj_y = false} : (tensor<1x256xf32>, tensor<256x256x!quant.uniform<i8:f32, 1.000000e+00>>) -> tensor<1x256xf32> %2:2 = "tfl.while"(%cst_2, %1) ({ ^bb0(%arg1: tensor<i32>, %arg2: tensor<1x256xf32>): %cst_3 = arith.constant dense<10> : tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
}) {dimensions = dense<1> : tensor<1xi64>} : (tensor<1x256xf32>, tensor<f32>) -> tensor<1xf32> %5 = mhlo.add %3, %arg6 : tensor<1xf32> "mhlo.return"(%1, %arg3, %arg4, %arg5, %5) : (tensor<i32>, tensor<i32>, tensor<i32>, tensor<1x256xf32>, tensor<1xf32>) -> () }) : (tensor<i32>, tensor<i32>, tensor<i32>, tensor<1x256xf32>, tensor<1xf32>) -> (tensor<i32>, tensor<i32>, tensor<i32>, tensor<1x256xf32>, tensor<1xf32>)
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/prepare-quantize-dynamic-range.mlir
%w = arith.constant dense<127.0> : tensor<512x2xf32> %mm = "tfl.batch_matmul"(%0, %w) {adj_x = false, adj_y = false} : (tensor<1x3x3x512xf32>, tensor<512x2xf32>) -> tensor<1x3x3x2xf32> %mm_s = "quantfork.stats"(%mm) {layerStats = dense<[0.000000e+00, 1.000000e+01]> : tensor<2xf32>} : (tensor<1x3x3x2xf32>) -> tensor<1x3x3x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
} // CHECK-LABEL: @FuseFullyConnectedRelu func.func @FuseFullyConnectedRelu(%arg0: tensor<1x256xf32>, %arg1: tensor<128x256xf32>, %arg2: tensor<128xf32>) -> tensor<1x128xf32> { %0 = "tfl.fully_connected" (%arg0, %arg1, %arg2) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<1x256xf32>, tensor<128x256xf32>, tensor<128xf32>) -> tensor<1x128xf32> %1 = "tfl.relu"(%0) : (tensor<1x128xf32>) -> tensor<1x128xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0)